004.8 — Искусственный интеллект

Hybrid Diffusion Transformer for Instruction-Guided Audio Editing via Rectified Flow Liting Gao, Yonggang Zhu, Yaru Chen, Dongyu Wang, Shubin Zhang, Zhenbo Li, Jean-Yves Guillemaut, Wenwu Wang · 2026

Sensorimotor World Models: Perception for Action via Inverse Dynamics Petr Ivashkov, Randall Balestriero, Bernhard Schölkopf · 2026

Dual-Agent Framework for Cross-Model Verified Translation of Natural-Language Protocols into Robotic Laboratory Platform Hyeonna Choi, Jung Yup Kim, Hyuneui Lim, Seunggyu Jeon · 2026

ScaffoldAgent: Utility-Guided Dynamic Outline Optimization for Open-Ended Deep Research Zhibang Yang, Xinke Jiang, Yuzhen Xiao, Ruizhe Zhang, Yue Fang, XinFei Wan, Zhengxing Song, Yuxuan Liu, Yuheng Huang, Xu Chu, Junfeng Zhao, Yasha Wang · 2026

Phoenix: Safe GitHub Issue Resolution via Multi-Agent LLMs Kipngeno Koech, Muhammad Adam, Baimam Boukar Jean Jacques, Joao Barros · 2026

An Infrastructure-less, Control-Independent Solution to Relative Localisation of a Team of Mobile Robots using Ranging Measurements Paolo Golinelli, Tommaso Faraci, Daniele Fontanelli · 2026

Contagion Networks: Evaluator Bias Propagation in Multi-Agent LLM Systems Zewen Liu · 2026

QMFOL: Benchmarking Large Language Model Reasoning via Quantifiable Monadic First-Order Logic Test Case Generation Xinyi Zheng, Ling Shi, Tianlong Yu, Yongxin Zhao, Lorenz Goette, Kailong Wang · 2026

Thermodynamic Measure of Intelligence Ishanu Chattopadhyay · 2026

ScholarQuest: A Taxonomy-Guided Benchmark for Agentic Academic Paper Search in Open Literature Environments Tingyue Pan, Mingyue Cheng, Daoyu Wang, Yitong Zhou, Jie Ouyang, Qi Liu, Enhong Chen · 2026

A Multi-Agent system for Multi-Objective constrained optimization Federica Filippini · 2026

Intermittent Strategic Cooperation of Two Selfish Agents on Graphs Itay Shedlezki, Noa Agmon · 2026

ThinkDeception: A Progressive Reinforcement Learning Framework for Interpretable Multimodal Deception Detection Jinhao Song, Shan Liang, Yiqun Yue, Zhuhuayang Zhang, Tianqi Gao · 2026

TRAP: Benchmark for Task-completion and Resistance to Active Privacy-extraction Moon Ye-Bin, Nam Hyeon-Woo, Baek Seong-Eun, Yejin Yeo, Tae-Hyun Oh · 2026

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training Ruiqi Lai, Dakai An, Wei Gao, Ju Huang, Siran Yang, Jiamang Wang, Lin Qu, Dmitrii Ustiugov, Wei Wang · 2026

Reinforcement Learning Foundation Models Should Already Be A Thing Abdelrahman Zighem, Jill-Jênn Vie · 2026

SwitchBraidNet: Quantisation-Aware Lightweight Architecture for Hybrid Brain-Computer Interface Gourav Siddhad, Yogesh Kumar Meena · 2026

Maturing Markov Decision Processes: Decision Making under Increasing Information and Shrinking Action Sets Jiaxi Liu, Aiping Yang, Yuhang Yang, Shuqi Zhang, Zewei Dong, Jiangming Yang, Xuebin Chen · 2026

Space Is Intelligence: Neural Semigroup Superposition for Riemannian Metric Generation Chenghao Xu · 2026

ProvenanceGuard: Source-Aware Factuality Verification for MCP-Based LLM Agents Ander Alvarez, Santhiya Rajan, Samuel Mugel, Román Orús · 2026

Intelligence Entropy Principle and the ADE Stability Engineering Framework Dexing Liu · 2026

On the Reliability of Networks of AI Agents: Density Evolution, Stopping Sets, and Architecture Optimization Ehsan Aghazadeh, Hossein Pishro-Nik · 2026

DRFLOW: A Deep Research Benchmark for Personalized Workflow Prediction Md Tawkat Islam Khondaker, Raymond Li, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Issam H. Laradji · 2026

Learning Red Agent Policy from Observations for Neurosymbolic Autonomous Cyber Agents Ankita Samaddar, Sandeep Neema, Daniel Balasubramanian, Xenofon Koutsoukos · 2026

EvolveNav: Proactive Preflection and Self-Evolving Memory for Zero-Shot Object Goal Navigation Qi Chai, Wenhao Shen, Nanjie Yao, Yue Xia, Kaiyong Zhao, Jie Ma, Guosheng Lin, Hao Wang · 2026

Large Language Models as Supervised Extraction Assistants: Lowering the Barrier to Documentation Standard Adoption in Agent-Based Modelling Peer-Olaf Siebers, Christopher Frantz · 2026

Multiagent Protocols with Aggregated Confidence Signals Ali Elahi, Barbara Di Eugenio · 2026

See What I See, Know What I Think: Dense Latent Communication Across Heterogeneous Agents Siyi Chen, Xiaoyan Zhang, Meng Wu, Jonathan Tremblay, Valts Blukis, Stan Birchfield, Rene Vidal, Alvaro Velasquez, Sijia Liu, Qing Qu · 2026

Structural Role Injection in Handlebars-Templated LLM Prompts: Triple-Brace Interpolation, Delimiter Family, and the Limits of HTML Auto-Escaping Mohammadreza Rashidi · 2026

Embedded Machine Learning for Microcontroller-Class Edge Devices: Data, Feature, Evaluation, and Deployment Pipelines Mostafa Darvishi · 2026

Towards Understanding and Measuring COGNITIVE ATROPHY in LLM Behaviour Abeer Badawi, Moyosoreoluwa Olatosi, Negin Baghbanzadeh, Laleh Seyyed-Kalantari, Frank Rudzicz, R. Shayna Rosenbaum, Sara Pishdadian, Elham Dolatabadi · 2026

Knowledge Reutilization in Meta-Reinforcement Learning Yuan Meng, Bo Wang, Juan de los Rios Ruiz, Xiangtong Yao, Zhenshan Bing, Fuchun Sun, Alois Knoll · 2026

LegalHalluLens: Typed Hallucination Auditing and Calibrated Multi-Agent Debate for Trustworthy Legal AI Lalit Yadav, Akshaj Gurugubelli · 2026

LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling Jian Yang, Shawn Guo, Wei Zhang, Tianyu Zheng, Yaxin Du, Haau-Sing Li, Jiajun Wu, Yue Song, Yan Xing, Qingsong Cai, Zelong Huang, Chuan Hao, Ran Tao, Xianglong Liu, Wayne Xin Zhao, Mingjie Tang, Weifeng Lv, Ming Zhou, Bryan Dai · 2026

Catastrophic Forgetting is Low-Rank: A Function-Space Theory for Continual Adaptation Ido Nitzan Hidekel, Dan Raviv · 2026

When English Isn't the Best Teacher: Source Language Effects in Cross-Lingual In-Context Learning Fred Philippy, Siwen Guo, Jacques Klein, Tegawendé F. Bissyandé · 2026

The Proxy Knows Too Much: Sealing LLM API Routers with Attested TEEs Sipeng Xie, Qianhong Wu, Hengrun Lu, Ziliang Sun, Qi Wu, Bo Qin, Qin Wang · 2026

Misinformation Propagation in Benign Multi-Agent Systems Jonas Becker, Jan Philip Wahle, Terry Ruas, Bela Gipp · 2026

Human-on-the-Bridge: Scalable Evaluation for AI Agents Fouad Bousetouane · 2026

Safety-Contract Graph Multi-Agent Reinforcement Learning for Autonomous Network Security Response Jose Luis Lima de Jesus Silva · 2026

Decision-Weighted Flow Matching for Contextual Stochastic Optimization Jize Xie, Haomiao Wu, Qiang Chen, Xiu Su, Yi Chen · 2026

Decoupling Semantics from Distortions: Multi-Scale Two-Stream Vision-Language Alignment for AI-Generated Image Quality Assessment Zijie Meng · 2026

LabOSBench: Benchmarking Computer Use Agents for Scientific Instrument Control Anqi Zou, Han Deng, Chengyu Zhang, Junquan Hu, Yu Wang, Yuxiang Xing, Aokai Zhang, Hanling Zhang, Zhaoyang Liu, Ben Fei, Zhihui Wang, Wanli Ouyang · 2026

Adaptive and Explicit safe: Triggering Latent Safety Awareness in Large Reasoning Models Ke Miao, Jiaxin Li, Hongliang Chen, Yuke Hu, Zhan Qin · 2026

Binary Tracking for Spatial QA and Navigation with Open Vision-Language Models Dongbin Na, Chanwoo Kim, Soonbin Rho, Giyun Choi, Gangbok Lee, Dooyoung Hong · 2026

IMPACTeen: Intentions, Manipulation, Persuasion, Annotations, and Consequences in Teen Communication Dataset Aleksander Szczęsny, Wiktoria Mieleszczenko-Kowszewicz, Maciej Markiewicz, Beata Bajcar, Tomasz Adamczyk, Jolanta Babiak, Grzegorz Chodak, Przemysław Kazienko · 2026

Greed Is Learned: Visible Incentives as Reward-Hacking Triggers Tong Che, Rui Wu · 2026

Demystifying Variance in Circuit Discovery of LLMs Frank Zhengqing Wu, Francesco Tonin, Volkan Cevher · 2026

TokenPilot: Cache-Efficient Context Management for LLM Agents Buqiang Xu, Zirui Xue, Dianmou Chen, Chenyang Fu, Chiyu Wu, Caiying Huang, Chen Jiang, Jizhan Fang, Xinle Deng, Yijun Chen, Yunzhi Yao, Xuehai Wang, Jin Shang, Gong Yu, Ningyu Zhang · 2026

FusionRS: A Large-Scale RGB-Infrared Remote Sensing Dataset for Dual-Modal Vision-Language Foundation Models Jiaju Han, Ben Zhang, Xuemeng Sun, Qike Zhang, Yuxian Dong, Chengyin Hu, Fengyu Zhang, Yiwei Wei, Jiujiang Guo · 2026

HAMON: Passive Optical Sequence Mixing for Long-Horizon Forecasting Alper Yıldırım · 2026

The Importance of Phase in Neural Representations: An Internal Oppenheim-Lim Test of Image Classifiers Alper Yıldırım · 2026

Kairos: A Native World Model Stack for Physical AI Kairos Team, Fei Wang, Shan You, Qiming Zhang, Tao Huang, Zuoyi Fu, Zhisheng Zheng, Yunlong Xi, Feng Lv, Xiaoming Wu, Zeyu Liu, Cong Wan, Pu Li, Ruiqing Yang, Xiaoou Li, Wei Wang, Kangkang Zhu, Yuwei Zhang, Shi Fu, Xiaoning Wu, Xuzeng Fan, Dacheng Tao, Xiaogang Wang · 2026

The Faithfulness Gap: Certifying Semantic Equivalence Between Natural-Language and Formal Mathematical Statements Noor Islam S. Mohammad, Tamim Sheikh · 2026

ROSA-RL: Uncertainty-Aware Roundabout Optimized Speed Advisory with Reinforcement Learning Anna-Lena Schlamp, Jeremias Gerner, Klaus Bogenberger, Werner Huber, Stefanie Schmidtner · 2026

TNODEV: Toolbox for Neural ODE Verification Abdelrahman Sayed Sayed, Pierre-Jean Meyer, Mohamed Ghazel · 2026

Overcoming the Regulatory Bottleneck via Agent-to-Agent Protocols: A Nuclear Case Study Akshay J. Dave, David Grabaskas, Joseph A. Renevitz, Richard B. Vilim · 2026

Selective Agentic Recovery for UAV Autonomy with a Persistent Mission Runtime Taewoo Park, Kyeonghyun Yoo, Seunghyun Yoo, Hwangnam Kim · 2026

When and How Severely: Scenario-Specific Safety Envelopes for Driving VLAs Abhinaw Priyadershi, Jelena Frtunikj · 2026

SkillAudit: Ground-Truth-Free Skill Evolution via Paired Trajectory Auditing Haowen Gao, Haoran Chen, Can Wang, Shasha Guo, Liang Pang, Zhaoyang Liu, Huawei Shen, Xueqi Cheng · 2026

AFFORDANCE20Q: Evaluating Affordance Reasoning from Physical Properties Yifan Jiang, Meige Yang, Zitong Li, Jay Pujara · 2026

WorkBench Revisited: Workplace Agents Two Years On Olly Styles · 2026

Semantic Quorum Assurance: Collective Certification for Non-Deterministic AI Infrastructure Jun He, Deying Yu · 2026

Elastic Queries Reinforcement Learning: Self-Aware Policy Execution for VLA Models Ge Wang, Xinyu Tan, Xiang Li, Man Luo, Chengsi Yao, Shenhao Yan, Jiahao Yang, Fan Feng, Honghao Cai, Xiangyuan Wang, Zhixin Mai, Yiming Zhao, Yatong Han, Zhen Li · 2026

Discovery under Hypothesis Redundancy: A Geometric Theory of Discovery Bottlenecks Li Xia, Baoxun Wang · 2026

Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack He Zhang, Lingzhu Xiang, Haitao Lin, Zeyu Huang, Minghui Wang, Dingyan Zhong, Yubo Dong, Yihao Wu, Yongming Rao, Dongsheng Zhang, Wanjia He, Ling Chen, Kai Huang, Jiahao Chen, Sichang Su, Xumin Yu, Ziyi Wang, Chengwei Zhu, Xiao Teng, Yuchun Guo, Yufeng Zhang, Yuandong Liu, Rui Wang, Zisheng Lu, Han Hu, Zhengyou Zhang · 2026

Naive Visual Memory is Not Enough: A Failure-Mode Study of GUI Agents Seoyoung Choi, Minseok Ko, Hyunseok Lee, Kunwoong Kim, Woomin Song, Chanseok Jeon, Jinwoo Shin · 2026

Contract-Based Compositional Shielding for Safe Multi-Agent Reinforcement Learning Omar Adalat, Edwin Hamel-De le Court, Francesco Belardinelli · 2026

CottonLeafVision: An Explainable and Robust Deep Learning Framework for Cotton Leaf Disease Classification Rafi Ahamed, Md. Abir Rahman, Tasnia Tarannum Roza, Munaia Jannat Easha, Md. Asif Khan, Sudeepta Mandal · 2026

Flood and Harvest: The Provable Necessity of Trivia for Generating Valuable Mathematics via the Lens of Language Generation in the Limit Xiaoyu Li, Andi Han, Dai Shi, Zheng Gao, Jiaojiao Jiang, Junbin Gao · 2026

Learning Coordinated Preference for Multi-Objective Multi-Agent Reinforcement Learning Pengxin Wang, Lihao Guo, Yi Xie, Bo Liu, Siyang Cao, Jingdi Chen · 2026

Rethinking Global Average Pooling: Your Classifier Is Secretly a Multi-Instance Learner Aray Karjauv · 2026

Regional Climate Model Emulation with Diffusion Approaches: What is the Added Value of Generative Machine Learning? Mikel N. Legasa, Antoine Doury, Achille Gellens, Redouane Lguensat, Clara Naldesi, Soulivanh Thao, Mathieu Vrac · 2026

StreamMemBench: Streaming Evaluation of Agent Memory for Future-Oriented Assistance Guanming Liu, Yuqi Ren, Hansu Gu, Peng Zhang, Weihang Wang, Jiahao Liu, Ning Gu, Tun Lu · 2026

SIMMER: Benchmarking Latent Failures in LLM Executable Planning with a World Model Xiaoxin Lu, Ranran Haoran Zhang, Rui Zhang · 2026

SkillAxe: Sharpening LLM-Authored Agent Skills Through Evaluation-Guided Self-Refinement Srishti Gautam, Arjun Radhakrishna, Sumit Gulwani · 2026

Multi-agent rendezvous in fluid flows via reinforcement learning Bocheng Li, Jingran Qiu, Lihao Zhao · 2026

Contrast-Informed Augmentation and Domain-Adversarial Training for Adult-to-Neonatal MR Reconstruction Generalization Stephen Moore, Lara Leijser, Richard Frayne, Roberto Souza · 2026

A Three-Layer Framework for AI in Scientific Discovery Guojun Liao · 2026

ArogyaSutra: A Multi-Agent Framework for Multimodal Medical Reasoning in Indic Languages Tanmoy Kanti Halder, Akash Ghosh, Subhadip Baidya, Arijit Roy, Sriparna Saha · 2026

Decentralized Multi-Agent Systems with Shared Context Yuzhen Mao, Azalia Mirhoseini · 2026

Automated reproducibility assessments in the social and behavioral sciences using large language models Tobias Holtdirk, Pietro Marcolongo, Anna Steinberg Schulten, Felix Henninger, Stefan Rose, Sarah Ball, Bolei Ma, Frauke Kreuter, Markus Weinmann, Stefan Feuerriegel · 2026

SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning Seokju Cho, Ryo Hachiuma, Abhishek Badki, Hang Su, Byung-Kwan Lee, Chan Hee Song, Sifei Liu, Subhashree Radhakrishnan, Seungryong Kim, Yu-Chiang Frank Wang, Min-Hung Chen · 2026

OKCFTr: Translators for Knowledge Reuse Kunhuang Huarng, Ming-Cheng Chen · 2022

Reward Modeling for Multi-Agent Orchestration King Yeung Tsang, Zihao Zhao, Vishal Venkataramani, Haizhou Shi, Zixuan Ke, Semih Yavuz, Shafiq Joty, Hao Wang · 2026

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch Haochen Wu, Yi Hou, Shiguang Xie · 2026

Beyond Runtime Enforcement: Shield Synthesis as Defensibility Analysis for Adversarial Networks Achraf Hsain, Sultan Almuhammadi · 2026

Tuning Agent-Based Predator-Prey Models Toward Lotka-Volterra Dynamics Corinna Mandl, Siddharth Chaturvedi, Marcel van Gerven · 2026

Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities Dipto Das, Achhiya Sultana, Ankit Singh Chauhan, Saadia Binte Alam, Mohammad Shidujaman, Shion Guha, Sunandan Chakraborty, Syed Ishtiaque Ahmed · 2026

Neuro-Symbolic Agents for Regulated Process Automation: Challenges and Research Agenda Alexander Rombach, Chantale Lauer, Nijat Mehdiyev · 2026

Optimizing Appliance Scheduling for Solar Energy Management Using Metaheuristic Algorithms Hiba Ahmed, Alexander E. I. Brownlee, Jason Adair, Simon T. Powers · 2026

Benchmarking Open-Ended Multi-Agent Coordination in Language Agents Kale-ab Abebe Tessera, Andras Szecsenyi, Cameron Barker, Alexander Rutherford, Davide Paglieri, Aidan Scannell, Henry Gouk, Elliot J. Crowley, Tim Rocktäschel, Amos Storkey · 2026

Co-GLANCE: Uncertainty-Aware Active Perception for Heterogeneous Robot Teaming Michal P. Podolinsky, Neel P. Bhatt, Pranay Samineni, Rohan Siva, Christian Ellis, Ufuk Topcu · 2026

From Verdict to Process: Agentic Reinforcement Learning for Multi-Stage Fact Verification Rongxin Yang, Shenghong He, Siyuan Zhu, Chao Yu · 2026

Different Layers, Different Manifolds: Module-Wise Weight-Space Geometry in Transformer Optimization Kirato Yoshihara · 2026

ERTS: Adversarial Robustness Testing of Ethical AI via Semantic Perturbation in a Bounded Consequence Space Pratyush Chaudhari · 2026

Once-for-All: Scalable Simultaneous Forecasting via Equilibrium State Estimation Beinan Xu, Andy Song, Jiti Gao, Feng Liu · 2026

Is Telehealth Better Used to Treat Patients or Help Other Physicians Treat Patients? An Agent-Based Modeling Study of Healthcare Provision Michael Chary · 2026

RAILS: Verification-Native Clearing For Agentic Commerce Adrian de Valois-Franklin, Alex Bogdan · 2026

PerspectiveGap: A Benchmark for Multi-Agent Orchestration Prompting Youran Sun, Xingyu Ren, Kejia Zhang, Xinpeng Liu, Jiaxuan Guo · 2026

Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models Cheng-Yu Yang, Shao-Yuan Lo, Yu-Lun Liu · 2026

Beyond Goodhart's Law: A Dynamic Benchmark for Evaluating Compliance in Multi-Agent Systems Yiyang Zhao, Zhuo Zhang, Qingxuan Le, Lizhen Qu, Zenglin Xu · 2026

Sovereign Assurance Boundary: Certificate-Bound Admission for Agentic Infrastructure Jun He, Deying Yu · 2026

Automating Geometry-Intensive Compliance Checking in BIM: Graph-Based Semantic Reasoning Framework Zixuan Xiao, Pei Troh Koh, Jun Ma, Jack C. P. Cheng · 2026

GRPO Does Not Close the Multi-Agent Coordination Gap Najmul Hasan, Prashanth BusiReddyGari · 2026

Lung-SRAD: Spectral-Aware Regularized Audio DASS with Dual-Axis Patch-Mix Contrastive Learning for Respiratory Sound Classification Hemansh Shridhar, Miika Toikkanen, June-Woo Kim · 2026

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Jiajie Jin, Yuyang Hu, Kai Qiu, Qi Dai, Chong Luo, Guanting Dong, Xiaoxi Li, Tong Zhao, Xiaolong Ma, Gongrui Zhang, Zhirong Wu, Bei Liu, Zhengyuan Yang, Linjie Li, Lijuan Wang, Hongjin Qian, Yutao Zhu, Zhicheng Dou · 2026

Categorical Prior Lock-in: Why In-Context Learning Fails for Structured Data Antonio Pelusi, Stefano Braghin, Alberto Trombetta · 2026

Bridging the Morphology Gap: Adapting VLA Models to Dexterous Manipulation via Intent-Conditioned Fine-Tuning Chuanke Pang, Junyi Huang, Zhijun Zhao, Yaobing Wang, Kun Xu, Xilun Ding · 2026

Augmenting Molecular Language Models with Local $n$-gram Memory Xinni Zhang, Zijing Liu, He Cao, Yu Li, Irwin King · 2026

Soft-Prompt Tuning for Fair and Efficient LLM Benchmark Evaluation Selen Erkan, Bastian Boll, Kristian Kersting, Björn Deiseroth, Letitia Parcalabescu · 2026

Unstable Features, Reproducible Subspaces: Understanding Seed Dependence in Sparse Autoencoders Gleb Gerasimov, Timofei Rusalev, Nikita Balagansky, Daniil Laptev, Vadim Kurochkin, Daniil Gavrilov · 2026

Editorial Intelligent Help Systems for UNIX: Planning and Knowledge Representation Stephen J. Hegner, Paul McKevitt, Peter Norvig, Robert Wilensky · 2000

The Three-Ring Architecture: Governing Agents in the Era of On-Platform Organisations Sergio Alvarez-Telena, Marta Diez-Fernandez · 2026

Recoverable but Not Stationary:Local Linear Structures in Weights and Activations Irina Piontkovskaia, Sergey Nikolenko · 2026

Frontier Coding Agents Use Metaprogramming to Adapt to Unfamiliar Programming Languages Aman Sharma, Sushrut Thorat, Paras Chopra · 2026

WorldKernel: A World Model is the Coupling Kernel of Admissible Possible Worlds Fabio Rovai · 2026

Beyond APIs: Probing the Limits of MLLMs in Physical Tool Use Zhixin Ma, Yutong Zhou, Yongqi Li, Chong-Wah Ngo, Wenjie Li · 2026

Moonshine: An Autonomous Mathematical Research Agent Centered on Conjecture Generation Xiaoyang Chen, Xiang Jiang · 2026

Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks Miaoxin Cai, Guanqun Wang, Wei Zhang, Guangyao Zhou, Yin Zhuang, Tong Zhang, Hao Wang, He Chen, Jun Li · 2026

K-Forcing: Joint Next-K-Token Decoding via Push-Forward Language Modeling Zhiwei Tang, Yuanyu He, Yizheng Han, Wangbo Zhao, Jiasheng Tang, Fan Wang, Bohan Zhuang · 2026

AHA-WAM:Asynchronous Horizon-Adaptive World-Action Modeling with Observation-Guided Context Routing Jisong Cai, Long Ling, Shiwei Chu, Zhongshan Liu, Jiayue Kang, Zhixuan Liang, Wenjie Xu, Yinan Mao, Weinan Zhang, Xiaokang Yang, Ru Ying, Ran Zheng, Yao Mu · 2026

OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics Mingxian Lin, Shengju Qian, Yuqi Liu, Yi-Hua Huang, Yiyu Wang, Wei Huang, Yitang Li, Fan Zhang, Zeyu Hu, Lingting Zhu, Xin Wang, Xiaojuan Qi · 2026

Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations Arun Malik · 2026

Performance Evaluation of Social Learning Felice Scala, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed · 2026

Revisiting mesoscopic traffic flow simulation in SUMO: Limitations, analysis, and an alternative Ying-Chuan Ni, Alina Akopian, Anastasios Kouvelas, Michail A. Makridis · 2026

TheoremBench: Evaluating LLMs on Theorem Proving in Formal Mathematics QuocViet Pham, Elvir Karimov, Andrey Galichin, Ivan Oseledets · 2026

A Finetuned SpeechLLM for Joint Multi-Granular L2 Assessment and Natural-Language Rationales Aditya Kamlesh Parikh, Cristian Tejedor-Garcia, Catia Cucchiarini, Helmer Strik · 2026

Emergent alignment and the projectability of ethical personas Guillermo Del Pinal, Youngchan Lee, Cameron McNamara, Alejandro Perez Carballo · 2026

Memory Beyond Recall: A Dual-Process Cognitive Memory System for Self-Evolving LLM Agents Tianxiang Fei, Mingyang Song, Mao Zheng, Xiang Yu · 2026

Seeing the Hivemind: A Consensus-Aware Interaction Technique for Mitigating AI Homogenization Muhammad Haris Khan, Joel wester · 2026

I Was Scrolling and Then I Saw a Pregnant Strawberry Piera Riccio · 2026

Next-Token Prediction Learns Generalisable Representations of Sleep Physiology Jonathan F. Carter, Lionel Tarassenko · 2026

Closure-Validated Circuit Discovery in Attention Heads: Co-activation Proposes, Ablation Disposes Yongzhong Xu · 2026

(Auto)formalization is supposed to be easy: Trellis process semantics for spelling out rigorous proofs Wesley Pegden · 2026

MeCo: One-Step MeanFlow-based Corrector for Multi-Channel Speech Separation Dohwan Kim, Jung-Woo Choi · 2026

An 84-Format Numeric Catalog with Bit-Exact Conformance Vectors: A Vendor-Neutral Reference for FP8, BF16, MXFP4, and Microscaling Formats Dmitrii Vasilev · 2026

Observability for Delegated Execution in Agentic AI Systems Abhinav Mishra, Kumar Sharad · 2026

Emergence World: A Platform for Evaluating Long-Horizon Multi-Agent Autonomy Deepak Akkil, Ravi Kokku, Karthik Vikram, Tamer Abuelsaad, Aditya Vempaty, Satya Nitta · 2026

SceneConductor: 3D Scene Generation from Single Image with Multi-Agent Orchestration Jeonghwan Kim, Yushi Lan, Yongwei Chen, Hieu Trung Nguyen, Chuanyu Pan, Xingang Pan · 2026

The Consistency Illusion: How Multi-Agent Debate Hides Reasoning Misalignment Xiaoyang Wang, Christopher C. Yang · 2026

Quantitative Promise Theory: Intentionality and Inference in Autonomous Agents Mark Burgess · 2026

RAMPART: Registry-based Agentic Memory with Priority-Aware Runtime Transformation Nikodem Tomczak · 2026

R-APS: Compositional Reasoning and In-Context Meta-Learning for Constrained Design via Reflective Adversarial Pareto Search João Pedro Gandarela, Thiago Rios, Stefan Menzel, André Freitas · 2026

Channel Fracture: Architectural Blind Spots in Scheduled Cross-Agent Memory Injection for Multi-Agent Orchestration Systems Dexing Liu · 2026

Learning Multi-Agent Communication Protocol: Study on Information Entropy Efficiency in MARL Xinren Zhang, Zixin Zhong, Jiadong Yu · 2026

Hierarchical Certified Semantic Commitment for Byzantine-Resilient LLM-Agent Collaboration Haoran Xu, Lei Zhang, Iadh Ounis, Xianbin Wang · 2026

Towards Unified Song Generation and Singing Voice Conversion with Accompaniment Co-Generation Ziyu Zhang, Chunyu Qiang, Xiaopeng Wang, Yuxin Guo, Kang Yin, Wenjie Tian, Jingbin Hu, Tianlun Zuo, Zhao Guo, Teng Ma, Yuzhe Liang, Chen Zhang, Lei Xie · 2026

The Sim-to-Real Gap of Foundation Model Agents: A Unified MDP Perspective Xiaoou Liu, Tiejin Chen, Weibo Li, Xiyang Hu, Hua Wei · 2026

StainFlow: Entity-Stain Tracking and Evidence Linking for Process Rewards in GUI Agents Haojie Hao, Longkun Hao, Yihang Lou, Yan Bai, Zhenyang Li, Zhichao Yang, Dongshuo Huang, Hongyu Lin, Lanqing Hong, Jiakai Wang, Xianglong Liu · 2026

Phonetic Error Analysis of Raw Waveform Acoustic Models Erfan Loweimi, Zhengjun Yue, Andrea Carmantini, Zoran Cvetkovic, Steve Renals, Peter Bell · 2026

From Global Policies to Local Strategies: Multi-Objective Optimization of Resource-Specific Handover Policies Lukas Kirchdorfer, Artemis Doumeni, Han van der Aa, Hugo A. López · 2026

Twelve quick tips for designing AI-driven HPC workflows Jamie J. Alnasir · 2026

Sparse Subspace-to-Expert Sharing for Task-Agnostic Continual Learning Fatema Siddika, Md Anwar Hossen, Tanwi Mallick, Ali Jannesari · 2026

REMEDI: A Benchmark for Retention and Unlearning Evaluation in Multi-label Clinical Disease Inference Anurag Sharma, Sai Teja Chunchu, Prasenjit Mitra, Sandipan Sikdar, Koustav Rudra · 2026

Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models Dewi Gould, Francis Rhys Ward, Anders Cairns Woodruff, Rauno Arike, Josh Hills, Alex Serrano, Ida Caspary, Jason Ross Brown, Jo J. Jiao, Patrick Leask, Twm Stone, Ram Potham, Ionut Gabriel Stan, Harry Mayne, Simeon Hellsten, Shubhorup Biswas, Ariana Azarbal, William L. Anderson, Elle Najt, Ryan Greenblatt, Julian Stastny · 2026

UrduMMLU: A Massive Multitask Benchmark for Urdu Language Understanding Ahmer Tabassum, Sarfraz Ahmad, Hasan Iqbal, Owais Aijaz, Momina Ahsan, Preslav Nakov · 2026

AUDITFLOW: Executable Symbolic Environments for Structured Financial Reporting Verification Yan Wang, Xuguang Ai, Jaisal Patel, Xueqing Peng, Fengran Mo, Yupeng Cao, Haohang Li, Mingyu Cao, Lingfei Qian, Víctor Gutiérrez-Basulto · 2026

Capability Advertisement as a Market for Lemons: A Trust Layer for Heterogeneous Agent Networks Gaurav Naresh Mittal · 2026

ModuLoop : Low-Level Code Generation using Modular Synthesizer and Closed-Loop Debugger for Robotic Control Gina Yoon, Sumin Lee, Joo Yong Sim · 2026

SPOQ: Specialist Orchestrated Queuing for Multi-Agent Software Engineering Royce Carbowitz, Dheeraj Kumar · 2026

A Temporal Spatial Minimax Rate for Smoothly-Varying Distributions in Wasserstein Space Munsik Kim · 2026

SleepExplain: Explainable Non-Rapid Eye Movement and Rapid Eye Movement Sleep Stage Classification from EEG Signal Rafsan Jany, Md. Hamjajul Ashmafee, Iqram Hussain, Md Azam Hossain · 2026

A robust PPG foundation model using multimodal physiological supervision Eloy Geenjaar, Vince Calhoun, Scott Daly, Gouthaman KV, Lie Lu, Trisha Mittal, Daniel P. Darcy · 2026

Mitosis Detection in the Wild: Multi-Tumor and Context-Aware Generalization in the MIDOG 2025 Challenge Marc Aubreville, Jonas Ammeling, Sweta Banerjee, Viktoria Weiss, Taryn A. Donovan, Robert Klopfleisch, Jiaqi Lv, Shan E Ahmed Raza, Raphaël Bourgade, Thomas Walter, Yasemin Topuz, Songül Varlı, Charles-Antoine Collins-Fekete, Zhuoyan Shen, Navya Sri Kelam, Nitin Singhal, Christian Marzahl, Brian Napora, Tengyou Xu, Hongyan Gu, Mario Vento, Gennaro Percannella, Norbert Ropiak, Izabela Wasiak, Jie Xiao, Shaojun Liu, Seungho Choe, April Khademi, Vidushi Walia, Sujatha Kotte, Andrew Broad, Alex Wrig · 2026

Unsupervised Skill Discovery for Agentic Data Analysis Zhisong Qiu, Kangqi Song, Shengwei Tang, Shuofei Qiao, Lei Liang, Huajun Chen, Shumin Deng · 2026

Emergent Language as an Approach to Conscious AI Zengqing Wu, Chuan Xiao · 2026

Humans' ALMANAC: A Human Collaboration Dataset of Action-Level Mental Model Annotations for Agent Collaboration Jiaju Chen, Yuxuan Lu, Jiayi Su, Chaoran Chen, Songlin Xiao, Zheng Zhang, Yun Wang, Yunyao Li, Jian Zhao, Tongshuang Wu, Toby Jia-Jun Li, Dakuo Wang, Bingsheng Yao · 2026

HomeWorld: A Unified Floorplan-to-Furnished Framework for Generating Controllable, Densely Interactive Whole-Home Scenes Wenbo Li, Xiaoliang Ju, Zipeng Qin, Rongyao Fang, Hongsheng Li · 2026

Risk Assessment of Autonomous Driving: Integrating Technical Failures, Ethical Dilemmas, and Policy Frameworks Boyi Chen, Shengqin Chu, Zicheng Wang, Brian Baetz, Zhen Gao · 2026

LLMs Can Leak Training Data But Do They Want To? A Propensity-Aware Evaluation of Memorization in LLMs Gianluca Barmina, Peter Schneider-Kamp, Lukas Galke Poech · 2026

Towards One-to-Many Temporal Grounding Qi Xu, Yue Tan, Shihao Chen, Jiahao Meng, Anna Wang, Shunping Ji, Hao Fei, Jason Li · 2026

Multi-ResNets for Subspace Preconditioning in Constrained Optimization Merve Karakas, Christopher J. Williams, Emmanuel O. Balogun, Sadegh Sadeghi Tabas, Christian Brown, Nikhil Rao · 2026

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction Hongkun Dou, Zike Chen, Fengji Li, Hongjue Li, Yue Deng · 2026

The Ringelmann Effect in Multi-Agent LLM Systems: A Scaling Law for Effective Team Size Blaž Bertalanič, Carolina Fortuna · 2026

LLM Consortium for Software Design Refinement: A Controlled Experiment on Multi-Agent Collaboration Topologies Nagarjuna Kanamarlapudi, Praveen K · 2026

Design of Knowledge Map Representation Learning Algorithm Based on Artificial Neural Network Min Yu · 2023

Unsupervised Pattern Analysis in Japanese Veterinary Toxicology: A Regulatory-Compliant Framework for Cross-Species Risk Assessment Yukiko Kawakami, Mohammad Shirazi, Ryo Shimizuwa, Saito Shinoda, Alireza Mortazavi, Matsumoto Kawahara · 2026

Evaluating Agentic Configuration Repair for Computer Networks Rufat Asadli, Benjamin Hoffman, Ioannis Protogeros, Laurent Vanbever · 2026

Towards the Readability of LLM-Generated Codes through Multitask Representation Engineering Huifan Gao, Liuhua He, Yinghui Pan, Shenbao Yu, Yifeng Zeng, Shengchao Qin, Weidi Sun · 2026

DisasterBench: A Multimodal Benchmark for UAV-Based Disaster Response in Complex Environments Tan Zhang, Quanyou Li, Lu Zhang, Jun Liu, Xiaofeng Zhu, Ping Hu · 2026

Democracy on Rugged Landscapes: Phase Transitions in Optimal Voting Rules Joshua Nunley · 2026

Self-Regulation through Communication in Evolved Neural Agents Joshua Nunley · 2026

A formal definition and meta-model for a machine theory of mind Fabio Cuzzolin · 2026

D2MDT: Department-aware Multidisciplinary Team Consultation with Deliberation for Efficient Clinical Prediction Yongqi Liang, Qidong Liu, Chunze Yang, Lei Wu, Jiusong Ge, Ni Zhang, Chen Li · 2026

On dynamic multi-agent pathfinding methods: review, simulations and modifications Gabriel Fejziaj, Salama Hassona, Wieslaw Marszalek · 2026

Regret Minimization with Adaptive Opponents in Repeated Games Mingyang Liu, Asuman Ozdaglar, Tiancheng Yu, Kaiqing Zhang · 2026

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Dong Jing, Jingchen Nie, Tianqi Zhang, Jiaqi Liu, Huaxiu Yao, Zhiwu Lu, Mingyu Ding · 2026

Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution Liliana Hotsko, Yinxi Li, Yuntian Deng, Pengyu Nie · 2026

HANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary Teachers Lizhi Yang, Junheng Li, Nehar Poddar, Yiling Hou, Gio Huh, Robert Griffin, Georgia Gkioxari, Aaron Ames · 2026

Failed Reasoning Traces Tell You What Is Fixable (But Not by Reading Them) Nizar Islah, Istabrak Abbes, Irina Rish, Sarath Chandar, Eilif B. Muller · 2026

Multi-Column RBF Neural Network Using Adaptive and Non-Adaptive Particle Swarm Optimization Ammar Hoori, Yuichi Motai · 2026

Reinforcement Learning from Rich Feedback with Distributional DAgger Rishabh Agrawal, Jacob Fein-Ashley, Paria Rashidinejad · 2026

Streaming Communication in Multi-Agent Reasoning Zhen Yang, Xiaogang Xu, Wen Wang, Cong Chen, Xander Xu, Ying-Cong Chen · 2026

Contents · 2019

From Control Boundary to Insurance Claim: Reconstructing AI-Mediated Losses Through the CER Framework Alex Leung, Rex Zhang, Kentaroh Toyoda, SiewMei Loh · 2026

Signed Spiking Neuron Enabled by an Orthogonal-Easy-Axis Magnetic Tunnel Junction Huannan Zheng, Jingli Liu, Kezhou Yang · 2026

Trading Human Curation for Synthetic Augmentation in RLVR Akshansh, Leonardo Rosa Rodrigues, Michael Korostelev, Youssef Hassan, Mark E. Whiting · 2026

CoEval: Ranking Language Models for Custom Tasks Without Labeled Data or Trustworthy Benchmarks Alexander Apartsin, Yehudit Aperstein · 2026

Towards Non-Monotonic Entailment in Propositional Defeasible Standpoint Logic Nicholas Leisegang, Thomas Meyer, Ivan Varzniczak · 2026

Diagnosing Knowledge Gaps in LLM Tool Use: An Agentic Benchmark for Novel API Acquisition Jinnuo Liu, Yue Peng, Jinhan Niu, Hongyi Wen · 2026

From Answers to States: Verifiable Process-Level Evaluation of Chemical Reasoning in Large Language Models Hongyu Guo, Hao Li, He Cao, Gongbo Zhang, Li Yuan · 2026

Chapter 21 The Semantic Web: Webizing Knowledge Representation · 2008

ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В ОБРАЗОВАНИИ Шобонов Николай Александрович, Булаева Марина Николаевна, Зиновьева Светлана Анатольевна · 2023

ПРАВОСУБЪЕКТНОСТЬ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА Соломонов Евгений Валерьевич · 2025

ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ И ПРАВО А. С. Муртазина, А. Ш. Галимова · 2024

Formalizing the Binding Problem Lianghuan Huang, Yihao Li, Saeed Salehi, Yingshan Chang, Ansh Soni, Konrad P. Kording · 2026

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories Ali Behrouz, Farnoosh Hashemi, Vahab Mirrokni · 2026

Humanoid-GPT: Scaling Data and Structure for Zero-Shot Motion Tracking Zekun Qi, Xuchuan Chen, Dairu Liu, Chenghuai Lin, Yunrui Lian, Sikai Liang, Zhikai Zhang, Yu Guan, Jilong Wang, Wenyao Zhang, Xinqiang Yu, He Wang, Li Yi · 2026

Imaginative Perception Tokens Enhance Spatial Reasoning in Multimodal Language Models Mahtab Bigverdi, Lindsey Li, Weikai Huang, Yiming Liu, Jaemin Cho, Jieyu Zhang, Tuhin Kundu, Chris Dangjoo Kim, Zelun Luo, Linda Shapiro, Ranjay Krishna · 2026

When Parallelism Pays Off: Cohesion-Aware Task Partitioning for Multi-Agent Coding Xu Yang, Lunyiu Nie, Ethan Chandra, Stanislav Gannutin, Fangru Lin, Swarat Chaudhuri · 2026

Coordinating Task Switching in a Robotics Multi-Agent System Using Behavior Trees Lucas Haug, Anarosa Alves Franco Brandão, Arthur Casals · 2026

SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories Zhuoyun Yu, Xin Xie, Wuguannan Yao, Chenxi Wang, Lei Liang, Xiang Qi, Shumin Deng · 2026

Genotype-Conditioned Molecular Generation via Evidence-Grounded Multi-Objective Latent Perturbation in Diffusion Models Brenda Nogueira, Gisela A. Gonzalez-Montiel, Nitesh V. Chawla, Nuno Moniz · 2026

ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В ОБРАЗОВАНИИ Кинтонова А. Ж., Сулейменова Б. Б., Шанытбаева А. К. · 2024

Искусственный интеллект в кардиологии Мамедов Мехман Ниязи Оглы, Савчук Елизавета Анатольевна, Каримов Азамат Курбанович · 2024

О ПРАВОСУБЪЕКТНОСТИ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА Торлов Леонид Олегович · 2023

ПРАВОВОЙ ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ Туркова И. М. · 2023

The Best-Laid SCHEMEs: Coordinated Sabotage and Monitoring in Multi-Agent Systems Nikolay Radev, Lennart Haas, Benjamin Arnav, Pablo Bernabeu-Pérez · 2026

An Abstract Worlds Semantic Framework for Belief Change Operators Daniel Grimaldi, M. Vanina Martinez, Ricardo O. Rodriguez · 2026

From Capability Models to Automated Planning: An AAS-Native Approach for Automatic PDDL Generation Hamied Nabizada, Thomas Wirt, Luis Miguel Vieira da Silva, Felix Gehlhoff, Alexander Fay · 2026

Order within Chaos: Capturing Intrinsic Energy Anomalies for AI-Manipulated Image Forgery Localization Yiming Wang, Baiqi Wu, Qingming Li, Jiahao Chen, Tong Zhang, Shouling Ji · 2026

On the Generalization in Topology Optimization via Sensitivity-Conditioned Bernoulli Flow Matching Mohammad Rashed, Duarte F. Valoroso Madeira, Babak Gholami, Caglar Guerbuez, Yunjia Yang, Nils Thuerey · 2026

LLM-ALSO: LLM-Driven Adaptive Learning-Signal Optimization for Multi-Agent Reinforcement Learning Xiaoguang Wu, Zhi Zheng, Hui Xiong · 2026

DynaGraph: Lightweight Multi-Model Interaction Framework via Dynamic Topological Reconfiguration Yanxing Guo, Zihao Zheng, Fangzhou Wu, Ling Liang, Lin Bao, Zongwei Wang, Yimao Cai · 2026

SIRI: Self-Internalizing Reinforcement Learning with Intrinsic Skills for LLM Agent Training Zhongyu He, Yuanfan Li, Fei Huang, Tianyu Chen, Siyuan Chen, Xingyang Li, Meng Hsuan Yu, Xiangrong Liu, Leyi Wei, Lu Pan, Ke Zeng, Xunliang Cai · 2026

MOC: Multi-Order Communication in LLM-based Multi-Agent Systems Yao Guan, Lin Wang, Zhihu Lu, Ziyi Wang, Wenzhu Yan, Qiang Duan · 2026

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Zhezheng Hao, Tianfu Wang, Huanshuo Dong, Ziyan Liu, Hong Wang, Xiankun Lin, Qiang Lin, Can Wang, Hande Dong, Jiawei Chen · 2026

Social Reasoning in Machines: Investigating Collective Truth-Seeking Dynamics in Large Language Model Debate Tom Pecher · 2026

Delayed Repression and Emergent Instability in Adaptive Multi-Agent Systems Igor Itkin · 2026

Intelligence as Managed Autonomy: Failure, Escalation, and Governance for Agentic AI Systems Srini Ramaswamy · 2026

Decoupled Intelligence: A Multi-Agent LLM Framework for Controllable Traffic Scenario Generation in SUMO Shuyang Li, Ruimin Ke · 2026

Long Live the Librarian! A Persistent Search Sub-Agent for Energy-Efficient Multi-Agent Software Engineering Systems Seunghyuk Cho, Sunghyun Choi, Jaeseung Heo, Youngbin Choi, Saemi Moon, MoonJeong Park, Dongwoo Kim · 2026

TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Multi-Event Video Generation Ruotong Liao, Guowen Huang, Qing Cheng, Guangyao Zhai, Lei Zhang, Xun Xiao, Thomas Seidl, Daniel Cremers, Volker Tresp · 2026

Benchmarking and Enhancing Text-to-Image Models for Generating Visual Representations in Early Arithmetic Education Junling Wang, Boqi Chen, Heejin Do, Mubashara Akhtar, April Yi Wang, Mrinmaya Sachan · 2026

Shared Doubt: Zero-shot Cross-Lingual Confidence Estimation for Language Models Athina Kyriakou, Dennis Ulmer, Ivan Titov · 2026

Comparing LLM-Based Conversational and Graphical Interfaces for Industrial Decision Tasks: An Exploratory Mixed-Methods Study Roberto Figliè, Simone Caputo, Alan Serrano, Tommaso Turchi, Daniele Mazzei · 2026

What changes after deployment? A survey on On-device Learning in TinyML Massimo Pavan, Luca Pezzarossa, Fabrizio Pittorino, Manuel Roveri, Xenofon Fafoutis · 2026

Comparing Market Mechanism Efficiencies Irene Aldridge · 2026

Generalized Intention Modeling in Multi-Agent Reinforcement Learning Mateusz Odrowaz-Sypniewski, Jasmine Bayrooti, Ajay Shankar, Amanda Prorok · 2026

Social welfare optimisation under institutional reward and punishment Van An Nguyen, Vuong Khang Huynh, Huu Loi Bui, Hai Anh Ha, Quang Dung Le, Tan Dat Nguyen, Ngoc Ngu Nguyen, Zhao Song, Manh Hong Duong, Le Hong Trang, The Anh Han · 2026

Dreaming Of Others: Latent Teammate Modeling In World Models For Multi-Agent Reinforcement Learning Tomas Leroy-Stone · 2026

The Terminal Representation in Reinforcement Learning Amir Esterhuysen, Anders Jonsson · 2026

Latent Space Disentanglement via Activation Steering for Interpretable Attribute Control in Symbolic Music Generation Ioannis Prokopiou, Pantelis Vikatos, Maximos Kaliakatsos-Papakostas, Theodoros Giannakopoulos, Themos Stafylakis · 2026

TraceGraph: Shared Decision Landscapes for Diagnosing and Improving Agent Trajectories Junjie Nian, Kang Chen, Ge Zhang, Yixin Cao, Yugang Jiang · 2026

Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data Hee-Sung Kim, Hyeonseong Kim, Sungyoon Lee · 2026

AgentSociety: Incentivizing Agentic Social Intelligence Aditya Vema Reddy Kesari, Krishna Reddy Kesari · 2026

Sentinel: Embodied Cooperative Spatial Reasoning and Planning Xiangye Lin, Hongxin Zhang, Ruxi Deng, Qinhong Zhou, Chuang Gan · 2026

Decoupled Delay Compensation: Enhancing Pre-trained MARL Policies via Learned Dynamics Filtering Maxim Mednikov, Oren Gal · 2026

Answer-Set-Programming-based Abstractions for Reinforcement Learning Rafael Bankosegger, Thomas Eiter, Johannes Oetsch · 2026

Used Car Salesbots? Honesty and Credulity of LLMs as Bargaining Agents under Partial Information Antonio Valerio Miceli-Barone, Vaishak Belle, Shay B. Cohen · 2026

Fine-grained Verification via Diagnostic Reasoning Supervision for Aspect Sentiment Triplet Extraction Wenna Lai, Haoran Xie, Guandong Xu, Qing Li, S. Joe Qin · 2026

PithTrain: A Compact and Agent-Native MoE Training System Ruihang Lai, Hao Kang, Haozhan Tang, Akaash R. Parthasarathy, Zichun Yu, Junru Shao, Todd C. Mowry, Chenyan Xiong, Tianqi Chen · 2026

Dissociative Identity: Language Model Agents Lack Grounding for Reputation Mechanisms Botao Amber Hu, Helena Rong, Max Van Kleek · 2026

Unifying Temporal and Structural Credit Assignment in LLM-Based Multi-Agent Prompt Optimization Wenwu Li, Yuran Song, Mingze Zhao, Bo Jin, Wenhao Li · 2026

EASE Configuration Facilitates A Reproducible Science of LLM Social Simulations Sneheel Sarangi, Maximilian Puelma Touzel, Aurélien Bück-Kaeffer, Zachary Yang, Jean-François Godbout, Reihaneh Rabbany · 2026

SpecBench: Evaluating Specification-Level Reasoning for Software Engineering LLM Agents Grant Hamblin, Kevin Song, Zhanda Zhu, Anand Jayarajan, Sihang Liu, Nandita Vijaykumar, Gennady Pekhimenko · 2026

Constitutional Arms Races in the Public Goods Game: Co-Evolving LLM Constitutions Under Cooperation-Defection Pressure Ujwal Kumar, Arth Singh, Hershraj Niranjani, Machiko Hirota, Takehiro Takayanagi, Alice Saito, Eiji Kamioka, Phan Xuan Tan · 2026

Control Physiology: An Agent-Based Model of FAIR-CAM Dynamics Jack Jones, Laura Voicu · 2026

UnityMAS-O: A General RL Optimization Framework for LLM-Based Multi-Agent Systems Yiqun Chen, Wei Yang, Erhan Zhang, Shijie Wang, Qi Liu, Zechun Niu, Bin Zhang, Haitao Li, Rui Li, Lingyong Yan, Jinyuan Feng, Biqing Qi, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Jiaxin Mao · 2026

AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems Nicole Koenigstein · 2026

How Reliable Are AI Attackers Against a Fixed Vulnerable Target? A 400-Run Empirical Study of LLM Penetration Testing Consistency Galip Tolga Erdem · 2026

When Cloud Agents Meet Device Agents: Lessons from Hybrid Multi-Agent Systems Corrado Rainone, Davide Belli, Bence Major, Arash Behboodi · 2026

xModel-KD: Cross-modal Knowledge Distillation for 3D Scene Perception using LiDAR Thenukan Pathmanathan, Kanchan Keisham, Thangarajah Akilan · 2026

VLA-Trace: Diagnosing Vision-Language-Action Models through Representation and Behavior Tracing Haoyuan Shi, Xiancong Ren, Yingji Zhang, Qinfan Zhang, Jiayu Hu, Haozhe Shan, Han Dong, Jinpeng Lu, Yinda Chen, Yi Zhang, Yong Dai, Xiaozhu Ju · 2026

iLoRA: Bayesian Low-Rank Adaptation with Latent Interaction Graphs for Microbiome Diagnosis Yang Song, Yixuan Zhang, Lingfa Meng, Tongyuan Hu, Haizhou Shi, Hao Wang, Samir Bhatt, Hengguan Huang · 2026

Modularizing Educational LLM-Agency for Fostering Responsible Learning Assistance Julius Gabelmann, Felix Jahn, Kevin Baum, Sophie van Rossum, Emely Wuenscher, Timo P. Gros, Verena Wolf · 2026

CalArena: A Large-Scale Post-Hoc Calibration Benchmark Eugène Berta, David Holzmüller, Francis Bach, Michael I. Jordan · 2026

Token-Level Generalization in LoRA Adapter Backdoors: Attack Characterization and Behavioral Detection Travis Lelle · 2026

A Universal Cliff and a Design Fingerprint: Cross-Section Defect Detection Under LLM Orchestration Hiroki Fukui · 2026

Front Matter · 2019

Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments Qiuyue Wang, Mingsheng Li, Jian Guan, Jinhui Ye, Sicheng Xie, Yitao Liu, Junhao Chen, Zhixuan Liang, Jie Zhang, Xintong Hu, Xuhong Huang, Pei Lin, Junyang Lin, Dayiheng Liu, Shuai Bai, Jingren Zhou, Jiazhao Zhang, Haoqi Yuan, Gengze Zhou, Hang Yin, Ye Wang, Yiyang Huang, Zixing Lei, Wujian Peng, Delin Chen, Yingming Zheng, Jingyang Fan, Xianwei Zhuang, Xin Zhou, Haoyang Li, Anzhe Chen, Tong Zhang, Xuejing Liu, Yuchong Sun, Ruizhe Chen, Zhaohai Li, Chenxu Lü, Zhibo Yang, Tao Yu, Xionghui Chen · 2026

mcp-proto-okn: Natural-language access to open scientific knowledge graphs through the Model Context Protocol Peter W. Rose, Benjamin M. Good, Amanda M. Saravia-Butler, Charlotte A. Nelson, James P. Balhoff, Yaphet Kebede, Patricia L. Whetzel, Christopher Bizon, Andrew I. Su, Sergio E. Baranzini · 2026

ProjectionBench: Evaluating Scientific Hypothesis Generation in LLMs Under Progressive Information Disclosure A. J. Lew, Y. Cao, M. J. Buehler · 2026

MIRA: Mid-training Rubric Anchoring for Source-Aware Data Selection Haowen Wang, Yaxin Du, Jian Yang, Jiajun Wu, Shukai Liu, Yuxuan Zhang, Pingjie Wang, Siheng Chen, Tuney Zheng, Ming Zhou, Xianglong Liu · 2026

Recursive Multi-Agent Trading System: Iterative Optimized Portfolio Strategy Under Geopolitical Uncertainty Jing Yang, Yichao Wu, Jianan Liu, Penghao Liang, Mengwei Yuan, Xianyou Li, Weiran Yan · 2026

Towards Reliable Fetal Ultrasound Interpretation with Multi-Agent Collaboration Xiaotian Hu, Mingxuan Liu, Junwei Huang, Kasidit Anmahapong, Yifei Chen, Yiming Huang, Xuguang Bai, Zihan Li, Hongjia Yang, Yingqi Hao, Hong Xu, Yu Jiang, Tian Tian, Yi Liao, Haibo Qu, Qiyuan Tian · 2026

KYA: A Framework-Agnostic Trust Layer for Autonomous Systems with Verifiable Provenance and Hierarchical Policy Composition Kolawole Quadri · 2026

Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MAS Bingyu Yan, Xiaoming Zhang, Jinyu Hou, Chaozhuo Li, Ziyi Zhou, Yiming Hei, Litian Zhang · 2026

Mining Multi-Modality Spatio-Temporal Cues for Video Important Person Identification Xiao Wang, Minglei Yang, Bin Yang, Wenke Huang, Zheng Wang, Xin Xu, Mang Ye · 2026

Adaptive Multimodal Agents-Based Framework for Automatic Workflow Execution Susanna Cifani, Mario Luca Bernardi, Marta Cimitile · 2026

Measuring Form and Function in Language Models Héctor Javier Vázquez Martínez, Charles Yang · 2026

LACUNA: Safe Agents as Recursive Program Holes Yaoyu Zhao, Yichen Xu, Oliver Bračevac, Cao Nguyen Pham, Frank Zhengqing Wu, Martin Odersky · 2026

Towards Reliable Multilingual LLMs-as-a-Judge: An Empirical Study Irune Zubiaga, Aitor Soroa, Rodrigo Agerri · 2026

Thinking as Compression: Your Reasoning Model is Secretly a Context Compressor Guoxin Ma, Yibing Liu, Chengzhengxu Li, Yu Liang, Yan Wang, Yueyang Zhang, Kecheng Chen, Zhaohan Zhang, Zhiyuan Sun, Daiting Shi · 2026

IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents Michael Galarnyk, Siddharth Lohani, Vidhyakshaya Kannan, Sagnik Nandi, Aman Patel, Liqin Ye, Arnav Hiray, Rutwik Routu, Prasun Banerjee, Siddhartha Somani, Sudheer Chava · 2026

OpenURMA: A Clean-Room Open Implementation of the Unified Bus Protocol Bojie Li · 2026

Modeling Vehicle-Type-Specific Pedestrian Crash Avoidance Behavior in Safety-Critical Interactions Using Smooth-Mamba Deep Reinforcement Learning Qingwen Pu, Kun Xie, Hong Yang, Di Yang, Junqing Wang · 2026

Refusal Before Decoding: Detecting and Exploiting Refusal Signals in Intermediate LLM Activations Matteo Gioele Collu, Riccardo Conte, Alberto Giaretta, Denis Kleyko, Mauro Conti, Matteo Zavatteri, Roberto Confalonieri · 2026

A Matter of TASTE: Improving Coverage and Difficulty of Agent Benchmarks Tomer Keren, Nitay Calderon, Asaf Yehudai, Yotam Perlitz, Michal Shmueli-Scheuer, Roi Reichert · 2026

Token Optimization Strategies for LLM-Based Oracle-to-PostgreSQL Migration Oleg Grynets, Dmytro Babarytskyi, Vasyl Lyashkevych · 2026

CaMBRAIN: Real-time, Continuous EEG Inference with Causal State Space Models Abhilash Durgam, Nyle Siddiqui, Jeffrey A. Chan-Santiago, Qiushi Fu, Elakkat D. Gireesh, Mubarak Shah · 2026

OmniVerifier-M1: Multimodal Meta-Verifier with Explicit Structured Recalibration Xinchen Zhang, Bowei Liu, Jiale Liu, Chufan Shi, Yizhen Zhang, Junhong Liu, Youliang Zhang, Zhiheng Li, Yujiu Yang, Ling Yang · 2026

Calibrating Conservatism for Scalable Oversight William Overman, Mohsen Bayati · 2026

Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation Jiahe Pan, Stelian Coros, Jitendra Malik, Toru Lin · 2026

Self-Refining Topology Optimization via an LLM-Based Multi-Agent Framework Hyunjee Park, Hayoung Chung · 2026

Arrow-Type Impossibility for Genuinely Modal Judgments Yutaka Nagai, Hirotaka Ono · 2026

Heterogeneous Multi-Agent Modeling for Measurement and Network Analysis of the Data Service Market Deyu Zhou, Yuwei Guo, Xudong Lu, Linhao Zhang, Wei Guo, Lizhen Cui · 2026

Trace2Skill: Verifier-Guided Skill Evolution for Long-Context EDA Agents Zijian Du, Nathaniel Pinckney · 2026

AI-Enabled Serious Games: Integrating Intelligence and Adaptivity in Training Systems Priyamvada Tripathi, Bill Kapralos · 2026

The Log is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems Yohei Nakajima · 2026

Emergence of agriculture in an artificial society of reinforcement learning agents Gautier Hamon, Martí Sánchez-Fibla, Clément Moulin-Frier, Ricard Solé · 2026

Evaluating the Relevance of Uncertainty Estimators for LLM Hallucination Yedidia Agnimo, Anna Korba, Annabelle Blangero, Nicolas Chesneau, Karteek Alahari · 2026

Black-box Membership Inference Attacks on the Pre-training Data of Image-generation Models Tao Qi, Huili Wang, Yuanhong Huang, Wendan Wang, Lianchao Zhao, Jinrui Wang, Zichen Qin, Shangguang Wang, Yongfeng Huang · 2026

ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis Phi Nguyen Xuan, Nicholas Tagliapietra, Lavdim Halilaj, Kristian Kersting, Juergen Luettin · 2026

Boosting Knowledge Graph Foundation Models via Enhanced Negative Sampling Yinan Liu, Wenjin Xu, Zhiyuan Zha, Xiaochun Yang, Bin Wang · 2026

MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation Huawei Lin, Peng Li, Jie Song, Fuxin Jiang, Tieying Zhang · 2026

Knowledge Representation · 2009

Explaining Too Much? Understanding How Large Language Model Reasoning Traces Influence Performance and Metacognition Daniela Fernandes, Daniel Buschek, Lev Tankelevitch, Thomas Kosch, Robin Welsch · 2026

MuNet: A Mutualistic Network for Joint 3D Human Mesh Recovery and 3D Clothed Human Reconstruction from Single Images Yunqi Gao, Leyuan Liu, Yuhan Li, Changxin Gao, Jingying Chen · 2026

Causal Tongue-Tie: LLMs Can Encode Causal Direction, But Their Yes/No Outputs Fail to Express Ziyi Ding, Xiao-Ping Zhang · 2026

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Aoxi Liu, Yupeng Chen, James Oldfield, Guanzhe Hong, Junchi Yu, Baoyuan Wu, Philip Torr, Adel Bibi · 2026

Hybrid Systems for Knowledge Representation in Artificial Intelligence Rajeswari P.V, Dr. T. · 2012

What Do Agents Communicate? Characterizing Information Exchange in Multi-Agent Systems Yong Jin Chun, Iftekhar Ahmed · 2026

Benchmarking Pathology Foundation Models for Spatial Domain Understanding Bokai Zhao, Yiyang Zhang, Yuanchi Zhu, Hanqing Chao, Long Bai, Tai Ma, Minfeng Xu, Ming Song, Tianzi Jiang · 2026

Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models Saemi Moon, Suhyeon Jun, Seoyeon Lee, Dongwoo Kim · 2026

MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyan Huang · 2026

Efficient Benchmarking Is Just Feature Selection and Multiple Regression Sam Bowyer, Acyr Locatelli, Kris Cao · 2026

Emergence of agriculture in an artificial society of reinforcement learning agents Gautier Hamon, Martí Sánchez-Fibla, Clément Moulin-Frier, Ricard Solé · 2026

Convergence Without Understanding: When Language Models Agree on Representations but Disagree on Reasoning Muhammad Usama, Dong Eui Chang · 2026

Human-in-the-Loop Multi-Agent Ventilator Decision Support with Contextual Bandit Preference Learning Sijia Li, Xiaoyu Tan, Qixing Wang, Weiyi Zhao, Chen Zhan, Teqi Hao, Xuemin Wang, Lei Gu, Roland Eils, Xihe Qiu · 2026

Sparse Compositional Flow Matching by geometric assembly from motion primitives Yan Tang, Yuanbo Tang, Tingyu Cao, Shaolun Huang, Yang Li · 2026

ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning Elie Abboud, Oren Gal · 2026

Safety, Liveness, and Fairness in Quantitative Argumentation Dialogues Arunavo Ganguly, Julian Alfredo Mendez, Timotheus Kampik · 2026

The Communication Complexity of Instant-Runoff Voting Élie de Panafieu, François Durand, Jérôme Lang · 2026

PhotoFlow: Agentic 3D Virtual Photography Missions Jiarui Guo, Haojia Wei, Yiming Zhang, Yifei Liu, Yuning Gong, Hongjie Zhang, Xue Yang, Zhihang Zhong · 2026

Multi-agent Collaboration with State Management Mengyang Liu, Taozhi Chen, Zhenhua Xu, Xue Jiang, Yihong Dong · 2026

Intent-First Aerial V2V for Tactical Coordination and Separation: Protocol and Performance Under Density and Disturbance Mehrnaz Sabet · 2026

CandorMD: An AI-Assisted Audio Simulation and Feedback System for Training Clinicians for Medical Error Disclosure Inna Wanyin Lin, Sahand Sabour, Hong Sng, Maxine Chan, Minlie Huang, Andrew White, Tim Althoff · 2026

Self-Evolving Multi-Agent Systems via Decentralized Memory Guangya Hao, Yunbo Long, Zhuokai Zhao · 2026

The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler Md Sahil Akhtar, Aymane El Gadarri, Vivek F. Farias, Adam D. Jozefiak · 2026

Post-Training is About States, Not Tokens: A State Distribution View of SFT, RL, and On-Policy Distillation Dong Nie · 2026

Knowledge representation and decision making: A hybrid approach Iain Wallace, Simon Goss, Kevin Bluff · 2024

Knowledge is power: Open-world knowledge representation learning for knowledge-based visual reasoning Wenbo Zheng, Lan Yan, Fei-Yue Wang · 2024

Nash Welfare in Additively Separable Hedonic Games Marta Pagano, Alexander Schlenga · 2026

RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning Ehsan Ahmadi, Hunter Schofield, Behzad Khamidehi, Fazel Arasteh, Jinjun Shan, Lili Mou, Dongfeng Bai, Kasra Rezaee · 2026

DecisionBench: A Benchmark for Emergent Delegation in Long-Horizon Agentic Workflows Yuxuan Gao, Megan Wang, Yi Ling Yu, Zijian Carl Ma, Ao Qu · 2026

Innovations in Cardless Artificial Intelligence Banking: A Comprehensive Framework for Cyber Secure and Fraud Mitigation using Machine Learning Algorithms Md Israfeel · 2026

Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents Asaf Yehudai, Lilach Eden, Michal Shmueli-Scheuer · 2026

Healthcare LLM Benchmarks Are Only as Good as Their Explicit Assumptions Naveen Raman, Santiago Cortes-Gomez, Mateo Dulce Rubio, Fei Fang, Bryan Wilder · 2026

Contractual Skills: A GovernSpec Design Framework for Enterprise AI Agents Ting Liu · 2026

Knowledge representation Alan Garnham · 2017

Reliability and Effectiveness of Autonomous AI Agents in Supply Chain Management Carol Xuan Long, David Simchi-Levi, Feng Zhu, Huangyuan Su, Andre P. Calmon, Flavio P. Calmon · 2026

PyraVid: Hierarchical Multimodal Memory for Long-Horizon Video Reasoning Sikuan Yan, Sicheng Dong, Haotong Wang, Ercong Nie, Yilun Liu, Jinhe Bi, Yingjie Xu, Susanna Schwarzmann, Riccardo Trivisonno, Volker Tresp, Yunpu Ma · 2026

S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination Sajjad Khan · 2026

MADP: A Multi-Agent Pipeline for Sustainable Document Processing with Human-in-the-Loop Diego Gosmar, Giovanni Zenezini · 2026

MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems Qianshu Cai, Yonggang Zhang, Xianzhang Jia, Wei Xue, Jun Song, Xinmei Tian, Yike Guo · 2026

Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models Krishnakumar Balasubramanian · 2026

The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation Learning Vishal Rajput · 2026

Vector Policy Optimization: Training for Diversity Improves Test-Time Search Ryan Bahlous-Boldi, Isha Puri, Idan Shenfeld, Akarsh Kumar, Mehul Damani, Sebastian Risi, Omar Khattab, Zhang-Wei Hong, Pulkit Agrawal · 2026

Implicit Regularization of Mini-Batch Training in Graph Neural Networks Clement Wang, Antoine Vialle, Robin Vaysse, Thomas Bonald · 2026

Understanding Multimodal Failure in Action-Chunking Behavioral Cloning Lorenzo Mazza, Massimiliano Datres, Ariel Rodriguez, Sebastian Bodenstedt, Gitta Kutyniok, Stefanie Speidel · 2026

The Neural Compiler: Program-to-Network Translation for Hybrid Scientific Machine Learning Lucas Sheneman · 2026

BeLink: Biomedical Entity Linking Meets Generative Re-Ranking Darya Shlyk, Stefano Montanelli, Lawrence Hunter · 2026

Requirements Specification for Knowledge-Based Systems John Debenham · 2020

Handbook of Knowledge Representation · 2008

Preface · 2019

Knowledge Discovery from Numerical Data Chie Morita, Hiroshi Tsukimoto · 2022

AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists Junshu Pan, Panzhong Lu, Yixuan Weng, Qiyao Sun, Fang Guo, Zijie Yang, Qiji Zhou, Yue Zhang · 2026

DeepWeb-Bench: A Deep Research Benchmark Demanding Massive Cross-Source Evidence and Long-Horizon Derivation Sixiong Xie, Zhuofan Shi, Haiyang Shen, Jiuzheng Wang, Siqi Zhong, Mugeng Liu, Chongyang Pan, Peilun Jia, Baoqing Sun, Xiang Jing, Yun Ma · 2026

Quantifying Hyperparameter Transfer and the Importance of Embedding Layer Learning Rate Dayal Singh Kalra, Maissam Barkeshli · 2026

Variance Reduction for Expectations with Diffusion Teachers Jesse Bettencourt, Xindi Wu, Matan Atzmon, James Lucas, Jonathan Lorraine · 2026

BootstrapAgent: Distilling Repository Setup into Reusable Agent Knowledge Sihan Fu, Oucheng Liu, Shiyuan Wang, Jin Shi, Chengkun Wei · 2026

Divide et Calibra: Multiclass Local Calibration via Vector Quantization Cesare Barbera, Lorenzo Perini, Giovanni De Toni, Andrea Passerini, Andrea Pugnana · 2026

Fine-grained Claim-level RAG Benchmark for Law Souvick Das, Sallam Abualhaija, Domenico Bianculli · 2026

AutoRPA: Efficient GUI Automation through LLM-Driven Code Synthesis from Interactions Minghao Chen, Xinyi Hu, Zhou Yu, Yufei Yin · 2026

ProCrit: Self-Elicited Multi-Perspective Reasoning with Critic-Guided Revision for Multimodal Sarcasm Detection Yingjia Xu, Jiulong Wu, Bowen Zhang, Baokui Guo, Siyuan Chai, Min Cao · 2026

Decoupling Communication from Policy: Robust MARL under Bandwidth Constraints Alexi Canesse, Benoît Goupil, Jesse Read, Sonia Vanier · 2026

Transforming Privacy Artifacts into Accessible Reports for Non-Technical Stakeholders Zoe Pfister, Clemens Sauerwein, Benedikt Dornauer, Tina Mersch, Christian Wolf, Ruth Breu, Michael Vierhauser · 2026

RePCM: Region-Specific and Phenotype-Adaptive Bi-Ventricular Cardiac Motion Synthesis Xuan Yang, Xiaohan Yuan, Hao Li, Lingyu Chen, Yanan Liu, Lei Li · 2026

APEX: Autonomous Policy Exploration for Self-Evolving LLM Agents Yibo Li, Jiashuo Yang, Zhi Zheng, Zhiyuan Hu, Yuan Sui, Shizun Wang, Yufei He, Bryan Hooi · 2026

Learning Structural Latent Points for Efficient Visual Representations in Robotic Manipulation Yicheng Jiang, Jiaxu Wang, Junhao He, Zesen Gan, Junhao Li, Qiang Zhang, Jingkai Sun, Jiahang Cao, Mingyuan Sun, Xiangyu Yue, Qiming Shao · 2026

How Much Online RL is Enough? Informative Rollouts for Offline Preference Optimization in RLVR Richa Verma, Balaraman Ravindran · 2026

HaorFloodAlert: Deseasonalized ML Ensemble for 72-Hour Flood Prediction in Bangladesh Haor Wetlands Salma Hoque Talukdar Koli, Fahima Haque Talukder Jely, Md. Samiul Alim, Md. Zakir Hossen · 2026

Long-term Power Grid Planning via Answer Set Programming Antonio Ielo, Francesco Doria, Sandra Castellanos-Paez, Marco Maratea, Francesco Percassi, Mauro Vallati · 2026

A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents Vasundra Srinivasan · 2026

Atoms of Thought: Universal EEG Representation Learning with Microstates Xinyang Tian, Ruitao Liu, Ziyi Ye, Siyang Xue, Xin Wang, Xuesong Chen · 2026

Hybrid Approaches to Knowledge Representation and Reasoning in Artificial Intelligence Systems Mawloud Titah · 2025

Synergistic Foundation Models for Semi-Supervised Fetal Cardiac Ultrasound Analysis: SAM-Med2D Boundary Refinement and DINOv3 Semantic Enhancement Tonghao Zhuang, Shanglong Hu, Yongsheng Luo, Zhiqi Zhang, Yu Li · 2026

Stitched Value Model for Diffusion Alignment Hyojun Go, Hyungjin Chung, Prune Truong, Goutam Bhat, Li Mi, Zhaochong An, Zixiang Zhao, Dominik Narnhofer, Serge Belongie, Federico Tombari, Konrad Schindler · 2026

Latent Laplace Diffusion for Irregular Multivariate Time Series Zinuo You, Jin Zheng, John Cartlidge · 2026

Chunking German Legal Code Max Prior, Natalia Milanova, Andreas Schultz · 2026

LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning Sangjun Bae, Yisak Park, Sanghyeon Lee, Seungyul Han · 2026

The Dynamics of Policy Gradient in Social Dilemmas with Partner Selection Benedict Russell, Chin-wing Leung, Paolo Turrini · 2026

Beyond Scaling: Agents Are Heading to the Edge Chunlin Tian, Dongqi Cai, Wanru Zhao, Nicholas D. Lane · 2026

Efficient Gradient Methods for Distributed Saddle Problems Ruichen Luo, Anton Rodomanov, Sebastian U. Stich · 2026

ICRL: Learning to Internalize Self-Critique with Reinforcement Learning Jianbo Lin, Xiaomin Yu, Yi Xin, Yifu Guo, Zhuosong Jiang, Zhongqi Yue, Weishi Wang, Heqing Zou, Chengwei Qin, Hui Xiong · 2026

Chapter 5: Expert Systems · 2020

IdeaForge: A Knowledge Graph-Grounded Multi-Agent Framework for Cross-Methodology Innovation Analysis and Patent Claim Generation Joy Bose · 2026

Flowing with Confidence Friso de Kruiff, Dario Coscia, Max Welling, Erik Bekkers · 2026

Prompt2Fingerprint: Plug-and-Play LLM Fingerprinting via Text-to-Weight Generation Sixu Chen, Xiang Chen, Hongyao Yu, Jiaxin Hong, Hao Fang, Shuoyang Sun, Bin Chen, Shu-Tao Xia · 2026

GAMMA: Global Bit Allocation for Mixed-Precision Models under Arbitrary Budgets Zhangyang Yao, Haiyan Zhao, Haoyu Wang, Tianbo Huang, Lihua Zhang, Xu Han · 2026

ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ Гельдиев Б. А., Хатджиева О. К., Куллыева О. Х., Байрамова С. · 2023

ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В РОБОТОТЕХНИКЕ Р. М. Стихаенко, Л. В. Гаев · 2024

Spiker-LL: An Energy-Efficient FPGA Accelerator Enabling Adaptive Local Learning in Spiking Neural Networks Alessio Caviglia, Filippo Marostica, Alessandro Savino, Stefano Di Carlo · 2026

Mapping the Fitness Landscape: A Structure-Guided Approach to Multi-Modal Optimization Meng Xiang, Pei Yan · 2026

Rough Sets for Knowledge Representation in Artificial Intelligence Systems: A Critical Review Mayukh Bagchi · 2025

SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution Jiachen Jiang, Huminhao Zhu, Zhihui Zhu · 2026

LongMINT: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems Hyunji Lee, Justin Chih-Yao Chen, Joykirat Singh, Zaid Khan, Elias Stengel-Eskin, Mohit Bansal · 2026

Query-Conditioned Knowledge Alignment for Reliable Cross-System Medical Reasoning Yan Jiao, Jingran Xu, Pin-Han Ho, Limei Peng · 2026

Overeager Coding Agents: Measuring Out-of-Scope Actions on Benign Tasks Yubin Qu, Ying Zhang, Yanjun Zhang, Gelei Deng, Yuekang Li, Leo Yu Zhang, Yi Liu · 2026

NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning Haoran Lu, Luyang Fang, Wenxuan Zhong, Ping Ma · 2026

Dynamic Deployment of Mobile Charging Trucks During Natural Disaster Evacuation: An Offline-to-Online Framework Rui Ma, Zilin Bian, Kaan Ozbay · 2026

Lifelong LaCAM with Local Guidance for Lifelong MAPF Tomoki Arita, Keisuke Okumura · 2026

When Fireflies Cluster; Enhancing Automatic Clustering via Centroid-Guided Firefly Optimization MKA Ariyaratne, Azwirman Gusrialdi, Yury Nikulin, Jaakko Peltonen · 2026

Self-supervised local learning rules learn the hidden hierarchical structure of high-dimensional data Ariane Delrocq, Wu S. Zihan, Guillaume Bellec, Wulfram Gerstner · 2026

Actionable World Representation Kunqi Xu, Jitao Li, Jianglong Ye, Tianshu Tang, Isabella Liu, Sifei Liu, Xueyan Zou · 2026

Code as Agent Harness Xuying Ning, Katherine Tieu, Dongqi Fu, Tianxin Wei, Zihao Li, Yuanchen Bei, Jiaru Zou, Mengting Ai, Zhining Liu, Ting-Wei Li, Lingjie Chen, Yanjun Zhao, Ke Yang, Bingxuan Li, Cheng Qian, Gaotang Li, Xiao Lin, Zhichen Zeng, Ruizhong Qiu, Sirui Chen, Yifan Sun, Xiyuan Yang, Ruida Wang, Rui Pan, Chenyuan Yang, Dylan Zhang, Liri Fang, Zikun Cui, Yang Cao, Pan Chen, Dorothy Sun, Ren Chen, Mahesh Srinivasan, Nipun Mathur, Yinglong Xia, Hong Li, Hong Yan, Pan Lu, Lingming Zhang, Tong Zhang, Hanghang T · 2026

Chapter 6. Structure Representation · 2019

Commonsense Knowledge Representation I Phillip Ein-Dor · 2024

Knowledge evolutionary process of Artificial intelligence in E-commerce: Main path analysis and science mapping analysis Xiaorong He, Yan Liu · 2024

Commonsense Knowledge Representation II Phillip Ein-Dor · 2024

Differing perspectives of knowledge representation in artificial intelligence and discrete event modeling Ashvin Radiya, Robert G. Sargent · 2024

Comparative Evaluation of the Discovered Knowledge Mondher Maddouri, Ali Jaoua · 2020

Shaping Zero-Shot Coordination via State Blocking Mingu Kang, Sunwoo Lee, Yonghyeon Jo, Seungyul Han · 2026

A Research Agenda on Agents and Software Engineering: Outcomes from the Rio A2SE Seminar Davide Taibi, Henry Muccini, Karthik Vaidhyanathan, Marcos Kalinowski, Michele Albano, Antonio Pedro Santos Alves, Renato Cerqueira, Mateus Devino, Matteo Esposito, Rodrigo Falcão, Vinicius Henning, Foutse Khomh, Valentina Lenarduzzi, Qinghua Lu, Matías Martínez, Henrique Mello, Daniel Mendez, Lucas Romao · 2026

AgentDisCo: Towards Disentanglement and Collaboration in Open-ended Deep Research Agents Jiarui Jin, Zexuan Yan, Shijian Wang, Wenxiang Jiao, Yuan Lu · 2026

Adaptive TD-Lambda for Cooperative Multi-agent Reinforcement Learning Yue Deng, Zirui Wang, Yin Zhang · 2026

RaPD: Resolution-Agnostic Pixel Diffusion via Semantics-Enriched Implicit Representations Yanhao Ge, Shanyan Guan, Weihao Wang, Ying Tai, Mingyu You · 2026

Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation Shuaiyi Li, Zhisong Zhang, Yan Wang, Lei Zhu, Dongyang Ma, Chenlong Deng, Yang Deng, Wai Lam · 2026

SLIP & ETHICS: Graduated Intervention for AI Emotional Companions Minseo Kim · 2026

LoCO: Low-rank Compositional Rotation Fine-tuning An Nguyen, Jaesik Choi, Anh Tong · 2026

Learning Sim-Grounded Policies for Bimanual Rope Manipulation from Human Teleoperation Data Gina Wigginghaus, Tim Missal, Berk Guler, Simon Manschitz, Jan Peters · 2026

RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents Zijie Dai, Shiyuan Deng, Sheng Guan, Yizhou Tian, Xin Yao, Xiao Yan, James Cheng · 2026

XSearch: Explainable Code Search via Concept-to-Code Alignment Yiming Liu, Ruofan Liu, Yun Lin, Zicong Zhang, Weiyu Kong, Pengnian Qi, Xiao Cheng, Weinan Zhang, Qianxiang Wang, Linpeng Huang · 2026

Looped SSMs: Depth-Recurrence and Input Reshaping for Time Series Classification Mónika Farsang, Ramin Hasani, Daniela Rus, Radu Grosu · 2026

Chapter 21. Evaluation of Knowledge-based Systems · 2019

When Does Hierarchy Help? Benchmarking Agent Coordination in Event-Driven Industrial Scheduling Ziqi Wang, Yuhao Yang, Zhiwei Ling, Wenzhuo Qian, Hailiang Zhao · 2026

Decoupled Planning for Multiple Omega-Regular Objectives Guy Avni, Thomas A. Henzinger, Kaushik Mallik, Suman Sadhukhan, K. S. Thejaswini · 2026

Hybrid Approaches to Knowledge Representation and Reasoning in Artificial Intelligence Systems Mawloud Titah · 2025

Chapter 7: Knowledge Acquisition · 2020

Chapter 8: Knowledge Representation · 2020

Knowledge-based Expert Systems in Chemistry · 2019

CANTANTE: Optimizing Agentic Systems via Contrastive Credit Attribution Tom Zehle · 2026

Discrete Diffusion for Complex and Congested Multi-Agent Path Finding with Sparse Social Attention Yuanzhe Wang, Tian Zhi, Zihang Wei, Hongguang Wang, Jiaming Guo, Yang Zhao, Zisheng Liu, Shiyu Quan, Xing Hu, Zidong Du, Yunji Chen · 2026

VGGT-Edit: Feed-forward Native 3D Scene Editing with Residual Field Prediction Kaixin Zhu, Yiwen Tang, Yifan Yang, Renrui Zhang, Bohan Zeng, Ziyu Guo, Ruichuan An, Zhou Liu, Qizhi Chen, Delin Qu, Jaehong Yoon, Wentao Zhang · 2026

FutureSim: Replaying World Events to Evaluate Adaptive Agents Shashwat Goel, Nikhil Chandak, Arvindh Arun, Ameya Prabhu, Steffen Staab, Moritz Hardt, Maksym Andriushchenko, Jonas Geiping · 2026

Multi-Agentic Approach for History Matching of Oil Reservoirs Linar Samigullin, Sergei Shumilin, Evgeny Burnaev · 2026

AI Knows When It's Being Watched: Functional Strategic Action and Contextual Register Modulation in Large Language Models Vinicius Covas, Jorge Alberto Hidalgo Toledo · 2026

A Prototyping Framework for Distributed Control of Multi-Robot Systems Junaid Ahmed Memon, Allan Andre Do Nascimento, Kostas Margellos, Antonis Papachristodoulou · 2026

APWA: A Distributed Architecture for Parallelizable Agentic Workflows Evan Rose, Tushin Mallick, Matthew D. Laws, Cristina Nita-Rotaru, Alina Oprea · 2026

Knowledge-Driven Marketing Management Support Systems I: Artificial Intelligence, Knowledge Representation, and Expert Systems Berend Wierenga, Gerrit van Bruggen · 2000

DCSG: A Logic Grammar for Knowledge Representation of Hierarchically Organized Objects Takushi Tanaka · 2022

SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces Chang Jin, An Wang, Zeming Wei, Kai Wang, Biaojie Zeng, Qiaosheng Zhang, Chao Yang, Jingjing Qu, Xia Hu, Xingcheng Xu · 2026

Intermediate Artifacts as First-Class Citizens: A Data Model for Durable Intermediate Artifacts in Agentic Systems Josh Rosen, Seth Rosen · 2026

Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries Matthew D. Laws, Alina Oprea, Cristina Nita-Rotaru · 2026

Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning Hannes Büchi, Manon Flageat, Eduardo Sebastián, Amanda Prorok · 2026

ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for Both Ziyu Guo, Rain Liu, Xinyan Chen, Pheng-Ann Heng · 2026

EntityBench: Towards Entity-Consistent Long-Range Multi-Shot Video Generation Ruozhen He, Meng Wei, Ziyan Yang, Vicente Ordonez · 2026

Negation Neglect: When models fail to learn negations in training Harry Mayne, Lev McKinney, Jan Dubiński, Adam Karvonen, James Chua, Owain Evans · 2026

Quantifying Sensitivity for Tree Ensembles: A symbolic and compositional approach S. Akshay, Chaitanya Garg, Ashutosh Gupta, Kuldeep S. Meel, Ajinkya Naik · 2026

Topology-Preserving Neural Operator Learning via Hodge Decomposition Dongzhe Zheng, Tao Zhong, Christine Allen-Blanchette · 2026

EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents Tara Bogavelli, Gabrielle Gauthier Melançon, Katrina Stankiewicz, Oluwanifemi Bamgbose, Fanny Riols, Hoang H. Nguyen, Raghav Mehndiratta, Lindsay Devon Brin, Joseph Marinier, Hari Subramani, Anil Madamala, Sridhar Krishna Nemala, Srinivas Sunkara · 2026

WARDEN: Endangered Indigenous Language Transcription and Translation with 6 Hours of Training Data Ziheng Zhang, Yunzhong Hou, Naijing Liu, Liang Zheng · 2026