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Статьи по коду 004.912
487 публикаций
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Beyond Global Replanning: Hierarchical Recovery for Cross-Device Agent Systems
Shu Yao, Yuhua Luo, Qian Long, Jingru Fan, Zhuoyuan Yu, Yuheng Wang, Lin Wu, Yufan Dang, Huatao Li, Chen Qian
· 2026
StylisticBias: A Few Human Visual Cues Drive Most Social Biases in MLLMs
Shaghayegh Kolli, Timo Cavelius, Nafiseh Nikeghbal, Samantha Dalal, Jana Diesner
· 2026
Learning User Simulators with Turing Rewards
Yingshan Susan Wang, Cedegao E. Zhang, Linlu Qiu, Zexue He, Pengyuan Li, Alex Pentland, Roger P. Levy, Yoon Kim
· 2026
Native Active Perception as Reasoning for Omni-Modal Understanding
Zhenghao Xing, Ruiyang Xu, Yuxuan Wang, Jinzheng He, Ziyang Ma, Qize Yang, Yunfei Chu, Jin Xu, Junyang Lin, Chi-Wing Fu, Pheng-Ann Heng
· 2026
On the Memorization Behavior of LLMs in Generative Recommendation: Observations, Implications, and Training Strategies
Sunwoo Kim, Sunkyung Lee, Clark Mingxuan Ju, Donald Loveland, Bhuvesh Kumar, Kijung Shin, Neil Shah, Liam Collins
· 2026
RSRank: Learning Relevance from Representational Shifts
Archit Gupta, Sai Sundaresan, Debabrata Mahapatra
· 2026
Temporal Preference Optimization for Unsupervised Retrieval
HyunJin Kim, Jaejun Shim, Young Jin Kim, JinYeong Bak
· 2026
Decoupling Search from Reasoning: A Vendor-Agnostic Grounding Architecture for LLM Agents
Emmanuel Aboah Boateng, Kyle MacDonald, Amardeep Kumar, Siddharth Kodwani, Sudeep Das
· 2026
Querit-Reranker: Training Compact Multilingual Rerankers via Efficient Label-Free Distribution Adaptation
Yunfei Zhong, Jun Yang, Wei Huang, Yinqiong Cai, Haosheng Qian, Yixing Fan, Ruqing Zhang, Lixin Su, Daiting Shi, Jiafeng Guo
· 2026
Output Vector Editing for Memorization Mitigation in Large Language Models
Ahmad Dawar Hakimi, Kaiwei Lei, Isabelle Augenstein, Hinrich Schütze
· 2026
RedactionBench
Sean Brynjólfsson, Shashvat Jayakrishnan, Esha Sali, Diptanshu Purwar, Madhav Aggarwal
· 2026
GraphPO: Graph-based Policy Optimization for Reasoning Models
Yuliang Zhan, Xinyu Tang, Jian Li, Dandan Zheng, Weilong Chai, Jingdong Chen, Jun Zhou, Ge Wu, Wenyue Tang, Hao Sun
· 2026
Mitigating Scoring Errors and Compensating for Nonverbal Subtests in Speech-Based Dementia Assessment
Franziska Braun, Christopher Witzl, Andreas Erzigkeit, Hartmut Lehfeld, Thomas Hillemacher, Tobias Bocklet, Korbinian Riedhammer
· 2026
G-IdiomAlign: A Gloss-Pivoted Benchmark for Cross-Lingual Idiom Alignment
Fengying Ye, Yanming Sun, Runzhe Zhan, Zheqi Zhang, Lidia S. Chao, Derek F. Wong
· 2026
CEO-Bench: Can Agents Play the Long Game?
Haozhe Chen, Karthik Narasimhan, Zhuang Liu
· 2026
Retrievable Gradients: Continual Post-Training Without Cumulative Weight Drift
Weihang Su, Jiacheng Kang, Jingyan Xu, Qingyao Ai, Jianming Long, Hanwen Zhang, Bangde Du, Xinyuan Cao, Min Zhang, Yiqun Liu
· 2026
RL-Index: Reinforcement Learning for Retrieval Index Reasoning
Yongjia Lei, Nedim Lipka, Zhisheng Qi, Utkarsh Sahu, Koustava Goswami, Franck Dernoncourt, Ryan A. Rossi, Yu Wang
· 2026
Visuals Lie, Consistency Speaks: Disentangling Spatial Attention from Reliability in Vision-Language Models
Logan Mann, Yi Xia, Ajit Saravanan, Ishan Dave, Saadullah Ismail, Shikhar Shiromani, Emily Huang, Ruizhe Li, Kevin Zhu
· 2026
Reading between the Lines: Leveraging Large Language Models for Global Dementia and Depression Assessment from Clinical Interviews
Franziska Braun, Alea Rüggeberg, Thomas Ranzenberger, Hartmut Lehfeld, Thomas Hillemacher, Tobias Bocklet, Korbinian Riedhammer
· 2026
Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients
Byung-Kwan Lee, Ximing Lu, Shizhe Diao, Minki Kang, Saurav Muralidharan, Karan Sapra, Andrew Tao, Pavlo Molchanov, Yejin Choi, Yu-Chiang Frank Wang, Ryo Hachiuma
· 2026
ReproRepo: Scaling Reproducibility Audits with GitHub Repository Issues
Shanda Li, Qiuhong Anna Wei, Jingwu Tang, Valerie Chen, Nihar B Shah, Tim Dettmers, Yiming Yang, Ameet Talwalkar
· 2026
Variable-Width Transformers
Zhaofeng Wu, Oliver Sieberling, Shawn Tan, Rameswar Panda, Yury Polyanskiy, Yoon Kim
· 2026
Understanding the Behaviors of Environment-aware Information Retrieval
Ruifeng Yuan, Chaohao Yuan, David Dai, Yu Rong, Hong Cheng, Hou Pong Chan, Chenghao Xiao
· 2026
KVEraser: Learning to Steer KV Cache for Efficient Localized Context Erasing
Mufei Li, Shikun Liu, Dongqi Fu, Haoyu Wang, Yinglong Xia, Hong Li, Hong Yan, Pan Li
· 2026
Context-Aware RL for Agentic and Multimodal LLMs
Peiyang Xu, Bangzheng Li, Sijia Liu, Karthik R. Narasimhan, Pramod Viswanath, Prateek Mittal, Xingyu Fu
· 2026
Can LLM Agents Infer World Models? Evidence from Agentic Automata Learning
Reef Menaged, Gili Lior, Shauli Ravfogel, Roee Aharoni, Gabriel Stanovsky
· 2026
SING: Synthetic Intention Graph for Scalable Active Tool Discovery in LLM Agents
Qiao Xiao, Haochen Shi, Yisen Gao, Wenbin Hu, Huihao Jing, Tianshi Zheng, Baixuan Xu, Ziheng Zhang, Weiqi Wang, Haoran Li, Jiaxin Bai, Yangqiu Song
· 2026
Verifiable User Simulation for Search and Recommendation Systems
Chenglong Ma, Xinye Wanyan, Danula Hettiachchi, Ziqi Xu, Yongli Ren, Jeffrey Chan
· 2026
Private Information Retrieval for Large-Scale DNA-Based Data Storage
Gökberk Erdoğan, Daniella Bar-Lev, Rawad Bitar, Antonia Wachter-Zeh, Zohar Yakhini
· 2026
Simulating Students' Java Programming Errors with Large Language Models
Ali Keramati, Jie Cao, Iman Mohammadi, Mark Warschauer, Yang Shi
· 2026
SuperThoughts: Reasoning Tokens in Superposition
Zheyang Xiong, Shivam Garg, Max Yu, Vaishnavi Shrivastava, Haoyu Zhao, Anastasios Kyrillidis, Dimitris Papailiopoulos
· 2026
Learning to Hear Hesitation: Continual Learning for Disfluency-Aware ASR
Henri-Leon Kordt, Theresa Pekarek Rosin, Jae Hee Lee, Stefan Wermter
· 2026
AdaSR: Adaptive Streaming Reasoning with Hierarchical Relative Policy Optimization
Junlong Tong, Wenqi Xu, Yingqi Fan, Anhao Zhao, Xuan Lu, Yang Tan, Xiaoyu Shen
· 2026
ClinHallu: A Benchmark for Diagnosing Stage-Wise Hallucinations in Medical MLLM Reasoning
Sicheng Yang, Hangjie Yuan, Wenjun Zhang, Jinwang Wang, Yichen Qian, Weihua Chen, Fan Wang, Lei Zhu
· 2026
DeRes: Decoupling Residual Stability and Adaptivity for Scalable CTR Prediction
Wenzhuo Cheng, Shipeng Nie, Qixin Guo, Xuefeng Sun, Jianguo Lou, Zhengwei Zheng
· 2026
GIScholarBench: Benchmarking LLM Overconfidence in GIS Research
Zongrng Li, Mingzheng Yang, Lei Zou, Hongxu Ma, Hao Tian, Siqi Zhou, Wenjing Gong, Kaili Zhang, Bingqian Chen, Mitch Zhang, Yifan Yang
· 2026
CompRank: Efficient LLM Reranking via Token-Level Compression and Decoding-Free Scoring
Xuan Lu, Haohang Huang, Yingqi Fan, Junlong Tong, Yuxuan Zhang, Ping Nie, Rui Meng, Xiaoyu Shen
· 2026
MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling
Jiacheng Chen, Xinyu Zhang, Shunkai Zhang, Yanmohan Wang, Lin Li, Tiancheng Qin, Qin Wang, Zhengmao Zhu, Tianle Li, Jingyang Li, Zehan Li, Binyang Jiang, Jin Zhu, Han Ding, Fei Yu, Chenyu Du, Zijian Song, Jiayuan Song, Zhi Zhang, Yunan Huang, Weiyu Cheng, Pengyu Zhao, Yu Cheng
· 2026
SupraBench: A Benchmark for Supramolecular Chemistry
Tianyi Ma, Yijun Ma, Zehong Wang, Weixiang Sun, Ziming Li, Connor R. Schmidt, Chuxu Zhang, Matthew J. Webber, Yanfang Ye
· 2026
HyperTool: Beyond Step-Wise Tool Calls for Tool-Augmented Agents
Yaxin Du, Yifan Zhou, Yujie Ge, Jiajun Wang, Xianghe Pang, Shuo Tang, Tuney Zheng, Bryan Dai, Jian Yang, Siheng Chen
· 2026
Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning
Zilin Xiao, Qi Ma, Chun-cheng Jason Chen, Xintao Chen, Avinash Atreya, Hanjie Chen, Vicente Ordonez
· 2026
EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments
Jundong Xu, Qingchuan Li, Jiaying Wu, Yihuai Lan, Shuyue Stella Li, Huichi Zhou, Bowen Jiang, Lei Wang, Jun Wang, Anh Tuan Luu, Caiming Xiong, Hae Won Park, Bryan Hooi, Zhiyuan Hu
· 2026
Stability in Competitive Search with Results Diversification
Itamar Reinman, Omer Madmon, Moshe Tennenholtz, Oren Kurland
· 2026
Mult-DPO: Multinomial Direct Preference Optimization for Recommender Systems
Yaochen Zhu, Harald Steck, James McInerney, Aditya Sinha, Yinhan He, Nathan Kallus, Jundong Li
· 2026
OneRetrieval: Unifying Multi-Branch E-commerce Retrieval with an Editable Generative Model
Xuxin Zhang, Ben Chen, Yue Lv, Siyuan Wang, Yupeng Li, Yufei Ma, Zihan Liang, Tong Zhao, Ying Yang, Huangyu Dai, Lingtao Mao, Zhipeng Qian, Xinyu Sun, Chenyi Lei, Wenwu Ou, Kun Gai
· 2026
MDForge: Agentic Molecular Dynamics Pipeline Design under Sparse Simulator Feedback
Zehong Wang, Yijun Ma, Connor R. Schmidt, Tianyi Ma, Weixiang Sun, Ziming Li, Xiaoguang Guo, Chuxu Zhang, Matthew J. Webber, Yanfang Ye
· 2026
Polar: A Benchmark for Evaluating Political Bias in LLMs
Sangho Kim, Heejin Kim, Yoonhee Park, Hyunggeun Jeon, Jaejin Lee
· 2026
Order Is Not Control
Gareth Seneque, Lap-Hang Ho, Nafise Erfanian Saeedi, Jeffrey Molendijk, Tim Elson
· 2026
Gated Bidirectional Linear Attention for Generative Retrieval
Artem Matveev, Vladislav Tytskiy, Sergei Makeev, Sergei Liamaev
· 2026
Report on CHIIR 2026 Workshop on Generative AI and Academic Search (GAI&AS)
Yifan Liu, Jaime Arguello, Orland Hoeber, Chang Liu, Soo Young Rieh, Luanne Sinnamon, Dean Alvarez, Susan Archambault, Rob Capra, Henson Chen, Charles Costa, Anita Crescenzi, Zhitong, Guan, Jacek Gwizdka, Pao-Pei Huang, Gavindya Jayawardena, Ghazal Kalhor, Dagmar Kern, Oliver Koop, Alice Li, Afra Mashhadi, Gaohui Meng, Marta Micheli, Anil B. Murthy, Kevin Schott, Sebastian Schultheiß, Jiwoo Seo, Phaneendra Sivangula, Frans van der Sluis, Xiaoxuan Song, Silang Wang, Dan Zhang
· 2026
EviProp: Seeded Relevance Diffusion on Chunk-Page Graphs for Long Multimodal Document Retrieval
Hongwei Zhang, Xiaoman Wang, Zehui Ling, Ruicheng Zhu, Yue Zhang, Pinlong Cai, Fuke Shen, Botian Shi, Tongquan Wei, Guohang Yan
· 2026
Dummy Backdoor as a Defense: Removing Unknown Backdoors via Shared Internal Mechanisms for Generative LLMs
Kazuki Iwahana, Masaru Matsubayashi, Takuma Koyama, Toshiki Shibahara, Kenichiro Omintato, Akira Ito
· 2026
Findings of the MAGMaR 2026 Shared Task
Alexander Martin, Dengjia Zhang, Joel Brogan, Francis Ferraro, Jeremy Gwinnup, Reno Kriz, Teng Long, Kenton Murray, Andrew Yates, Xiang Xiang
· 2026
OpenMedReason: Scientific Reasoning Supervision for Medical Vision-Language Models
Negin Baghbanzadeh, Pritam Sarkar, Michael Colacci, Abeer Badawi, Adibvafa Fallahpour, Arash Afkanpour, Leonid Sigal, Ali Etemad, Elham Dolatabadi
· 2026
Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application
Jiachun Li, Zhuoran Jin, Tianyi Men, Yupu Hao, Kejian Zhu, Lingshuai Wang, Dongqi Huang, Longxiang Wang, Shengjia Hua, Lu Wang, Jinshan Gao, Hongbang Yuan, Ruilin Xu, Kang Liu, Jun Zhao
· 2026
Doc-to-Atom: Learning to Compile and Compose Memory Atoms
Xingjian Diao, Wenbo Li, Yashas Malur Saidutta, Avinash Amballa, Lazar Valkov, Srinivas Chappidi
· 2026
Context-Driven Incremental Compression for Multi-Turn Dialogue Generation
Yeongseo Jung, Jaehyeok Kim, Eunseo Jung, Jiachuan Wang, Yongqi Zhang, Ka Chun Cheung, Simon See, Lei Chen
· 2026
Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training
Michal Chudoba, Sergey Alyaev, Petra Galuscakova, Tomasz Wiktorski
· 2026
Notes2Skills: From Lab Notebooks to Certainty-Aware Scientific Agent Skills
Shi Liu, Jiayao Chen, Chengwei Qin, Yanqing Hu, Jufan Zhang, Linyi Yang
· 2026
miniReranker: Efficient Multimodal Reranking through Visual Cache Reuse and Interaction Sparsity
Yingqi Fan, Xuan Lu, Anhao Zhao, Junlong Tong, Ping Nie, Kai Zou, Yunpu Ma, Wei Zhang, Xiaoyu Shen
· 2026
Decoy-Calibrated Failure Audits for Language Models
Vyzantinos Repantis, Ameya Gawde, Harshvardhan Singh
· 2026
Dynamic Linear Attention
Xin Wang, Hui Shen, Boyuan Zheng, Xueshen Liu, Minkyoung Cho, Zhongwei Wan, Zesen Zhao, Zhuoqing Mao, Shen Yan, Mi Zhang
· 2026
Speaker Group Encoding in Self-supervised Speech Recognition Models
Felix Herron, Solange Rossato Alexandre Allauzen, Benoit Favre, François Portet
· 2026
Are We Evaluating Knowledge or Phrasing? Mitigating MCQA Sensitivity with ParaEval
João Maria Janeiro, Mathurin Videau, Andrea Caciolai, Benjamin Piwowarski, Patrick Gallinari, Loic Barrault
· 2026
Generative Archetype-Grounded Item Representations for Sequential Recommendation
Yifan Li, Jiahong Liu, Xinni Zhang, Hao Chen, Yankai Chen, Wenhao Yu, Jianting Chen, Irwin King
· 2026
Multi-Faceted Interactivity Alignment in Full-Duplex Speech Models
Atsumoto Ohashi, Neil Zeghidour, Alexandre Défossez, Eugene Kharitonov
· 2026
iOSWorld: A Benchmark for Personally Intelligent Phone Agents
Lawrence Keunho Jang, Mareks Woodside, Geronimo Carom, Andrew Keunwoo Jang, Jing Yu Koh, Ruslan Salakhutdinov
· 2026
SIGA: Self-Evolving Coding-Agent Adapters for Scientific Simulation
Matthew Ho, Brian Liu, Jixuan Chen, Audrey Wang, Lianhui Qin
· 2026
Causally Evaluating the Learnability of Formal Language Tasks
Vésteinn Snæbjarnarson, Anej Svete, Josef Valvoda, Reda Boumasmoud, Brian DuSell, Ryan Cotterell
· 2026
Driving Video Retrieval for Complex Queries with Structured Grounding
Manyi Yao, Sparsh Garg, Christian Shelton, Amit Roy-Chowdhury, Abhishek Aich
· 2026
MUDIDI: A Two-Stage Framework for Multilingual Dictionary Digitization with Language Models
David Setiawan, Temuulen Khishigsuren, Milind Agarwal, Pagnarith Pit, Aso Mahmudi, Ekaterina Vylomova
· 2026
A Vision-language Framework for Comparative Reasoning in Radiology
Tengfei Zhang, Ziheng Zhao, Xiaoman Zhang, Lisong Dai, Pengcheng Qiu, Ya Zhang, Yanfeng Wang, Weidi Xie
· 2026
Symbolic and Abstractive Reasoning with Complex Visual Queries
Yichi Zhang, Jingdian Lu, Zhuo Chen, Lingbing Guo, Jun Xu, Wen Zhang, Huajun Chen
· 2026
One Model, Multiple Goals: Adaptive Multi-Objective Learning for E-commerce Dialogue Systems
Mingzhe Li, Jing Xiang, Enguo Zhou, Lang Gao, Tai Li, Qishen Zhang, Xiangliang Zhang, Xiuying Chen
· 2026
TABVERSE: Benchmarking Cross-Format Table Understanding in LLMs and VLMs
Momina Ahsan, Sarfraz Ahmad, Ming Shan Hee, Roy Ka-Wei Lee, Preslav Nakov
· 2026
Clinically Grounded Privacy Evaluation of Medical LMs
Sasha Ronaghi, Sana Tonekaboni, Lena Stempfle, Vivian Utti, Jordan Li Cahoon, Nathaniel Hendrix, Ayin Vala, Marzyeh Ghassemi, Emily Alsentzer
· 2026
Emergent Misalignment Can Be Induced by Sycophancy and Reversed via Alignment Gating
Sicheng Wang, Xiangyang Zhu, Han Wang, Zongrui Wang, Yuan Tian, Kaiwei Zhang, Kaiyuan Ji, Qi Jia, Guangtao Zhai
· 2026
A Unifying Lens on Reward Uncertainty in RLHF
Ely Hahami, Yoel Zimmermann, Ray Zhou, Jack Benarroch Jedlicki
· 2026
Gated Bidirectional Linear Attention for Generative Retrieval
Artem Matveev, Vladislav Tytskiy, Sergei Makeev, Sergei Liamaev
· 2026
PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams
Fuqiang Wang, Song Tan, Zheng Guo, Jiaohao Fu, Xinglong Xu, Bihui Yu, Jie Dong, Zheng Sun, Siyuan Li, Jingxuan Wei, Cheng Tan
· 2026
Principles of Concept Representation in Sentence Encoders
Isabelle Mohr, John Dujany, Jonathan Souquet, Andre Freitas
· 2026
RASFT: Rollout-Adaptive Supervised Fine-Tuning for Reasoning
Yongliang Miao, Fengyuan Liu, Wei Shi, Yanguang Liu, Fei Sun, Na Zou, Mengnan Du
· 2026
Bradley-Terry Rankings for Recommender Systems Across Dataset Taxonomies
Ekaterina Grishina, Stepan Kuznetsov, Askar Tsyganov, Ilya Ivanov, Daria Korovaitceva, Margarita Rusanova, Uliana Parkina, Alexander Derevyagin, Evgeny Frolov, Sergey Samsonov, Anton Lysenko
· 2026
Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings
Songhao Wu, Zhongxin Chen, Yuxuan Liu, Heng Cui, Cong Li, Rui Yan
· 2026
Agentopia: Long-Term Life Simulation and Learning in Agent Societies
Xintao Wang, Sirui Zheng, Hongqiu Wu, Weiyuan Li, Jen-tse Huang, Minghao Zhu, Can Zu, Qi Deng, Jiawei Wang, Qianyu He, Heng Wang, Xiaojian Wu, Yunzhe Tao
· 2026
Adversarial Creation and Detection of AI-Generated Social Bot Content
Mykola Trokhymovych, Ricardo Baeza-Yates, Alessandro Flammini, Diego Saez-Trumper, Filippo Menczer
· 2026
DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarios
Tongzhou Yu, Mingjia Li, Hong Qian, Wenkai Wang, Zongbao Zhang, Yaoyu Jiang, Xiangfeng Wang, Aimin Zhou, Jiajun Guo
· 2026
Archi: Agentic Operations at the CMS Experiment
Pietro Lugato, Luca Lavezzo, Jason Mohoney, Hasan Ozturk, Muhammad Hassan Ahmed, Juan Pablo Salas, Viphava Ohm, Krittin Phornsiricharoenphant, Gabriele Benelli, Mariarosaria D'Alfonso, Manasvita Joshi, Warren Nam, Aron Soha, Samantha Sunnarborg, Austin Swinney, Jack Tucker, Dmytro Kovalskyi, Tim Kraska, Christoph Paus
· 2026
MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery
Shangheng Du, Xiangchao Yan, Jinxin Shi, Zongsheng Cao, Shiyang Feng, Zichen Liang, Boyuan Sun, Tianshuo Peng, Yifan Zhou, Xin Li, Jie Zhou, Liang He, Bo Zhang, Lei Bai
· 2026
Self-Augmenting Retrieval for Diffusion Language Models
Paul Jünger, Justin Lovelace, Linxi Zhao, Dongyoung Go, Kilian Q. Weinberger
· 2026
OneReason Technical Report
OneRec Team, Biao Yang, Boyang Ding, Chenglong Chu, Dunju Zang, Fei Pan, Han Li, Hao Jiang, Honghui Bao, Huanjie Wang, Jian Liang, Jiangxia Cao, Jiao Ou, Jiaxin Deng, Jinghao Zhang, Kun Gai, Lu Ren, Peiru Du, Pengfei Zheng, Rongzhou Zhang, Ruiming Tang, Shiyao Wang, Siyang Mao, Siyuan Lou, Teng Shi, Wei Yuan, Wenlong Xu, Xingchen Liu, Xingmei Wang, Xinqi Jin, Yan Sun, Yan Wang, Yifei Hu, Yingzhi He, Yufei Ye, Yuhao Wang, Yunhao Zhou, Yuqin Dai, Zhao Liu, Zhipeng Wei, Zhixin Ling, Ziming Li, Zixi
· 2026
A Vision-language Framework for Comparative Reasoning in Radiology
Tengfei Zhang, Ziheng Zhao, Lisong Dai, Xiaoman Zhang, Pengcheng Qiu, Ya Zhang, Yanfeng Wang, Weidi Xie
· 2026
SkillComposer: Learning to Evolve Agent Skills for Specification and Generalization
Qi Zhang, Zhaopeng Feng, Xiaonan Shi, Xiaomeng Hu, Chu Liu, Pengjun Xie, Xiaobin Wang, Jieping Ye, Bryan Hooi, Haobo Wang, Junbo Zhao
· 2026
On Advantage Estimates for Max@K Policy Gradients
Shota Takashiro, Soichiro Nishimori, Paavo Parmas, Yongmin Kim, Kohsei Matsutani, Gouki Minegishi, Yusuke Iwasawa, Takeshi Kojima, Yutaka Matsuo
· 2026
Attention Calibration for Position-Fair Dense Information Retrieval
Andrianos Michail, Elias Schuhmacher, Juri Opitz, Simon Clematide, Rico Sennrich
· 2026
MemoryCard: Topic-Aware Multi-Modal Clue Compression for Long-Video Question Answering
Qing Yang, Pengcheng Huang, Xinze Li, Zhenghao Liu, Yukun Yan, Yu Gu, Ge Yu, Gang Li, Maosong Sun
· 2026
Asuka-Bench: Benchmarking Code Agents on Underspecified User Intent and Multi-Round Refinement
Xin Wang, Liangtai Sun, Yaoming Zhu, Shuang Zhou, Jiaxing Liu, Fengjiao Chen, Lin Qiu, Xuezhi Cao, Xunliang Cai, Licheng Zhang, Zhendong Mao
· 2026
Retrospective Harness Optimization: Improving LLM Agents via Self-Preference over Trajectory Rollouts
Wenbo Pan, Shujie Liu, Chin-Yew Lin, Jingying Zeng, Xianfeng Tang, Xiangyang Zhou, Yan Lu, Xiaohua Jia
· 2026
Deep Learning for NLP
Akshay Kulkarni, Adarsha Shivananda
· 2019
Text Summarization using Formal Argumentation
Isada Sukprapa, Nguyen Duy Hung, Thepchai Supnithi
· 2021
Dual-Stream MLP is All You Need for CTR Prediction
Kesha Ou, Zhen Tian, Wayne Xin Zhao, Long Zhang, Sheng Chen, Ji-Rong Wen
· 2026
Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses
Pengcheng Jiang, Zhiyi Shi, Kelly Hong, Xueqiang Xu, Jiashuo Sun, Jimeng Sun, Hammad Bashir, Jiawei Han
· 2026
Dynamic Spectral Denoising with Global-Context Attention for Multi-Behavior Recommendation
Miaomiao Cai, Yunshan Ma, Fangqi Zhu, Junfeng Fang, Zhijie Zhang, Zhiyong Cheng, Xiang Wang, See-Kiong Ng
· 2026
HERO'S JOURNEY: Testing Complex Rule Induction with Text Games
Anshun Asher Zheng, Kanishka Misra, David I. Beaver, Junyi Jessy Li
· 2026
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges
Bohao Wang, Yu Cui, Zhenxiang Xu, Jujia Zhao, Chenxiao Fan, Jizhi Zhang, Weiqin Yang, Shengjia Zhang, Sirui Chen, Yang Zhang, Xiaoyan Zhao, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He, Jiawei Chen
· 2026
MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation
Chuanjie Wu, Zhishang Xiang, Yunbo Tang, Zerui Chen, Qinggang Zhang, Jinsong Su
· 2026
K-BrowseComp: A Web Browsing Agent Benchmark Grounded in Korean Contexts
Nahyun Lee, Dongkeun Yoon, Guijin Son, Geewook Kim, Dayoon Ko, Jeonghun Park, Haneul Yoo, Jaewon Cho, Junghun Park, Changyoon Lee, Kyochul Jang, Jaeyeon Kim, Eunsu Kim, Woojin Cho, Seungone Kim
· 2026
On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters
Mind Lab, :, Song Cao, Vic Cao, Kaijie Chen, Bunny Fan, Hera Feng, Huan Feng, Arthur Fu, Jun Gao, Hongquan Gu, Aaron Guan, Mutian Hong, Hailee Hou, Peixuan Hua, Charles Huang, Miles Jiang, Nora Jiang, Yuyi Jiang, Autumn Jin, Fancy Kong, Kyrie Lei, Alexy Li, Dawn Li, Ray Li, Theo Li, Wenhao Li, Jiayi Lin, Domini Liu, Heshan Liu, Kairus Liu, Logan Liu, Maeve Luo, Runism Lv, Pony Ma, Verity Niu, Anson Qiu, Vincent Wang, Maxwell Yao, Regis Ye, Wenlin Ye, Yanying Ye, Josh Ying, Danney Zeng, Salmon Zh
· 2026
SkillBrew: Multi-Objective Curation of Skill Banks for LLM Agents
Wentao Hu, Zhendong Chu, Yiming Zhang, Junda Wu, Ming Jin, Xiangyu Zhao, Yilei Shao, Yanfeng Wang, Qingsong Wen
· 2026
Better with Experience: Self-Evolving LLM Agents for Evidence-Grounded Health Community Notes
Zihang Fu, Fanxiao Li, Jianyang Gu, Haonan Wang, Preslav Nakov, Bryan Hooi, Min-Yen Kan, Jiaying Wu
· 2026
MobEvolve: An Agentic Self-Evolving Heuristic System for Interpretable Human Mobility Generation
Junlin He, Yihong Tang, Tong Nie, Ao Qu, Yuebing Liang, Hamzeh Alizadeh, Bang Liu, Wei Ma, Lijun Sun
· 2026
PROTOCOL: Late Interaction Retrieval for Protein Homolog Search
Gabrielle Cohn, Rohan Gumaste, Minh Hoang, Vihan Lakshman
· 2026
Mellum2 Technical Report
Marko Kojic, Ivan Bondyrev, Aral de Moor, Joseph Shtok, Petr Borovlev, Kseniia Lysaniuk, Madeeswaran Kannan, Ivan Dolgov, Nikita Pavlichenko
· 2026
ConsisGuard: Aligning Safety Deliberation with Policy Enforcement in LLM Guardrails
Yan Wang, Zhixuan Chu, Zihao Xue, Zhen Bi, Bingyu Zhu, YueFeng Chen, Zeyu Yang, Jungang Lou, Longtao Huang, Ningyu Zhang, Kui Ren, Hui Xue
· 2026
Beyond Static Dialogues: Benchmarking Realistic, Heterogeneous, and Evolving Long-Term Memory
Han Zhang, Zihao Tang, Xin Yu, Xiao Liu, Yeyun Gong, Haizhen Huang, Yan Lu, Weiwei Deng, Feng Sun, Qi Zhang, Hanfang Yang
· 2026
DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark
Ruofan Hu, Menghui Zhu, Jieming Zhu, Bo Chen, Shengyang Xu, Minjie Hong, Xiaoda Yang, Sashuai Zhou, Li Tang, Tao Jin, Zhou Zhao
· 2026
No More K-means:Single-Stage Sparse Coding for Efficient Multi-Vector Retrieval
Lixuan Guo, Yifei Wang, Tiansheng Wen, Aosong Feng, Stefanie Jegelka, Chenyu You
· 2026
When Should Models Change Their Minds? Contextual Belief Management in Large Language Models
Haoming Xu, Weihong Xu, Zongrui Li, Mengru Wang, Yunzhi Yao, Chiyu Wu, Jin Shang, Yu Gong, Shumin Deng
· 2026
Do Language Models Track Entities Across State Changes?
Zilu Tang, Qiao Zhao, Gabriel Franco, Derry Wijaya, Aaron Mueller, Sebastian Schuster, Najoung Kim
· 2026
Generative Spatiotemporal Intent Sequence Recommendation via Implicit Reasoning in Amap
Sicong Wang, Ruiting Dong, Yue Liu, Bowen Zheng, Jun Meng, Jie Li, Shuaijun Guo, Yu Gu, Fanyi Di, Xin Li
· 2026
On the Practice of Scaling Search Conversion Rate Prediction
James Pak, Jyun-Yu Jiang, Fan Zhang, Sen Wang, Taekmin Kim, Henry Tsai, Vijay Rajaram, Juexin Lin, Mohitdeep Singh, Alessandro Magnani, Johnny Chen, Qian Zhao, Rao Fu, Zhirong Liang, Jordan Gilliland, Winter Jiao
· 2026
OmniRetrieval: Unified Retrieval across Heterogeneous Knowledge Sources
Jinheon Baek, Soyeong Jeong, Sangwoo Park, Woongyeong Yeo, Minki Kang, Patara Trirat, Heejun Lee, Sung Ju Hwang
· 2026
SAAS: Self-Aware Reinforcement Learning for Over-Search Mitigation in Agentic Search
Yunbo Tang, Chengyi Yang, Shiyu Liu, Zhishang Xiang, Zerui Chen, Qinggang Zhang, Jinsong Su
· 2026
AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security
Dongrui Liu, Yu Li, Zhonghao Yang, Peng Wang, Guanxu Chen, Yuejin Xie, Qinghua Mao, Wanying Qu, Yanxu Zhu, Tianyi Zhou, Leitao Yuan, Zhijie Zheng, Qihao Lin, Yimin Wang, Haoyu Luo, Shuai Shao, Chen Qian, Qingyu Liu, Ling Tang, Ruiyang Qin, Qihan Ren, Junxiao Yang, Kun Wang, Zhiheng Xi, Linfeng Zhang, Ranjie Duan, Bo Zhang, Wenjie Wang, Wen Shen, Qiaosheng Zhang, Yan Teng, Chaochao Lu, Rui Mei, Man Li, Jialing Tao, Xi Lin, Tianhang Zheng, Yong Liu, Quanshi Zhang, Lei Zhu, Xingjun Ma, Junhua Liu,
· 2026
LLMSurgeon: Diagnosing Data Mixture of Large Language Models
Yaxin Luo, Jiacheng Cui, Xiaohan Zhao, Xinyi Shang, Jiacheng Liu, Xinyue Bi, Zhaoyi Li, Zhiqiang Shen
· 2026
Personal Visual Memory from Explicit and Implicit Evidence
Viet Nguyen, Thao Nguyen, Vishal M. Patel, Yuheng Li
· 2026
Self-Improving Language Models with Bidirectional Evolutionary Search
Guowei Xu, Zhenting Qi, Huangyuan Su, Weirui Ye, Himabindu Lakkaraju, Sham M. Kakade, Yilun Du
· 2026
Credit-assigned Policy Gradient for Early Stage Retrieval in Two-stage Ranking
Haruka Kiyohara, Mihaela Curmei, Ariel Evnine, Shankar Kalyanaraman, Israel Nir, Ana-Roxana Pop, Nitzan Razin, Sarah Dean, Thorsten Joachims, Udi Weinsberg
· 2026
Plans for Evaluating Structured Generative Search Summaries
Tetsuya Sakai, Jina Lee, Hanpei Fang, Young-In Song
· 2026
Uniboost: Global Coordination with Value Alignment for Fair and Efficient Traffic Allocation
Ge Fan, Nan Zhao, Kai Meng, Cong Luo, Yang Fu, Huiping Chu, Jialin Liu, Yuning Jiang, Bo Zheng
· 2026
Temporal Simultaneity Predicts Annotation Quality in Sentiment Corpora
Idris Abdulmumin, Mokgadi Penelope Matloga, Tadesse Destaw Belay, Botshelo Kondowe, Letlhogonolo Mohleleng, Hareaipha Nkopo Letsoalo, Shamsuddeen Hassan Muhammad, Vukosi Marivate
· 2026
Search-E1: Self-Distillation Drives Self-Evolution in Search-Augmented Reasoning
Zihan Liang, Yufei Ma, Ben Chen, Zhipeng Qian, Xuxin Zhang, Huangyu Dai, Lingtao Mao
· 2026
Rethinking Agentic RAG: Toward LLM-Driven Logical Retrieval Beyond Embeddings
Yuqi Zeng, Qixiang Deng, Yulei Wan, Ruiquan Jiang, Xiaoqing Zheng, Xuanjing Huang
· 2026
Separating Semantic Competition from Context Length in RAG Reading
Vyzantinos Repantis, Ameya Gawde, Harshvardhan Singh, Rohit Alekar, Cien Zhang, Svetlana Karslioglu, Akash Vishwakarma
· 2026
Triplet-Block Diffusion RWKV
Ke Lin, Yiyang Luo, Zhaolong Su, Yunya Song, Anyi Rao
· 2026
SIREN: Unified Multi-Granularity Semantic Interaction for Multi-Modal Lifelong User Interest Modeling
Yaqian Zhang, Ruyi Yu, Tianyi Li, Bohan Liu, Maoquan Ye, Ke Wang, Shifeng Wen, Junwei Pan, Lijie Wang, Qi Zhou, Yeshou Cai, Chengguo Yin, Lifeng Wang, Hui Li, Lei Xiao, Haijie Gu
· 2026
DeGRe: Dense-supervised Generative Reranking for Recommendation
Chaotian Song, Jingyao Zhang, Chenghao Chen, Zisen Sang, Dehai Zhao, Guodong Cao, Boxi Wu, Deng Cai, Jia Jia
· 2026
Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents
Haoyi Hu, Qirong Lyu, Xianghan Kong, Weiwen Liu, Jianghao Lin, Zixuan Guo, Yan Xu, Yasheng Wang, Weinan Zhang, Yong Yu
· 2026
RotMoLE: Enhancing Mixture of Low-Rank Experts through Rotational Gating Mechanism
Mengyang Sun, Maochuan Dou, Tao Feng, Dan Zhang, Yihao Wang, Junpeng Liu, Yifan Zhu, Jie Tang
· 2026
PennySynth: RAG-Driven Data Synthesis for Automated Quantum Code Generation
Minghao Shao, Nouhaila Innan, Hariharan Janardhanan, Muhammad Kashif, Alberto Marchisio, Muhammad Shafique
· 2026
Multilingual Phonological Feature Recognition with Self-Supervised Speech Models
Abner Hernandez, Tomás Arias-Vergara, Daiqi Liu, Andreas Maier, Paula Andrea Pérez-Toro
· 2026
Metacognition as Reward: Reinforcing LLM Reasoning via Knowledge and Regulation Signals
Sirui Chen, Lei Xu, Yuying Zhao, Yutian Chen, Yu Wang, Beier Zhu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu
· 2026
EquiSumm : A Gender Bias-Aware Framework for Inclusive Tweet Summarization
Chaitanya Wanjari, Jessica Kamal, Riddhi Jain, Samruddhi Kurhe, Roshni Chakraborty
· 2026
Naturalistic measure of social norms alignment
Yevhen Kostiuk, Kenneth Enevoldsen, Peter Bjerregaard Vahlstrup, Márton Kardos, Kristoffer Nielbo
· 2026
Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommenders
Jun Yin, Bangguo Zhu, Peng Huo, Ruochen Liu, Hao Chen, Senzhang Wang, Shirui Pan, Chengqi Zhang
· 2026
RAGR: Review-Augmented Generative Recommendation
Yingyi Zhang, Junyi Li, Yejing Wang, Wenlin Zhang, Xiaowei Qian, Sheng Zhang, Yue Feng, Yichao Wang, Yong Liu, Xiangyu Zhao, Xianneng Li
· 2026
Dual-Diffusional Generative Fashion Recommendation
Mingzhe Yu, Lei Wu, Qianru Sun, Yunshan Ma
· 2026
RCTEA: Richness-guided Co-training for Temporal Entity Alignment
Jiayun Li, Wen Hua, Shiqi Fan, Fengmei Jin, Haiyang Jiang, Xue Li
· 2026
ETCHR: Editing To Clarify and Harness Reasoning
Beichen Zhang, Yuhong Liu, Jinsong Li, Yuhang Zang, Jiaqi Wang, Dahua Lin
· 2026
SkillOpt: Executive Strategy for Self-Evolving Agent Skills
Yifan Yang, Ziyang Gong, Weiquan Huang, Qihao Yang, Ziwei Zhou, Zisu Huang, Yan Li, Xuemei Gao, Qi Dai, Bei Liu, Kai Qiu, Yuqing Yang, Dongdong Chen, Xue Yang, Chong Luo
· 2026
News Signals: An NLP Library for Text and Time Series
Chris Hokamp, Demian Ghalandari, Parsa Ghaffari
· 2023
Reducing Political Manipulation with Consistency Training
Long Phan, Devin Kim, Alexander Pan, Alice Blair, Adam Khoja, Dan Hendrycks
· 2026
Evaluating Commercial AI Chatbots as News Intermediaries
Mirac Suzgun, Emily Shen, Federico Bianchi, Alexander Spangher, Thomas Icard, Daniel E. Ho, Dan Jurafsky, James Zou
· 2026
Tokenisation via Convex Relaxations
Jan Tempus, Philip Whittington, Craig W. Schmidt, Dennis Komm, Tiago Pimentel
· 2026
Linguistic Computing with UNIX Tools
Lothar M. Schmitt, Kiel Christianson, Renu Gupta
· 2024
Search-E1: Self-Distillation Drives Self-Evolution in Search-Augmented Reasoning
Zihan Liang, Yufei Ma, Ben Chen, Zhipeng Qian, Xuxin Zhang, Huangyu Dai, Lingtao Mao
· 2026
LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance
Yuchun Fan, Bei Li, Peiguang Li, Yilin Wang, Yongyu Mu, Jian Yang, Xin Chen, Rongxiang Weng, Jingang Wang, Xunliang Cai, Jingbo Zhu, Tong Xiao
· 2026
Beyond Temperature: Hyperfitting as a Late-Stage Geometric Expansion
Meimingwei Li, Yuanhao Ding, Esteban Garces Arias, Christian Heumann
· 2026
Boundary-targeted Membership Inference Attacks on Safety Classifiers
Anthony Hughes, Alexander Goldberg, Prince Jha, Adam Perer, Nikolaos Aletras, Niloofar Mireshghallah
· 2026
Hy-MT2: A Family of Fast, Efficient and Powerful Multilingual Translation Models in the Wild
Mao Zheng, Zheng Li, Tao Chen, Bo Lv, Mingrui Sun, Mingyang Song, Jinlong Song, Hong Huang, Decheng Wu, Hai Wang, Yifan Song, Yanfeng Chen, Guanwei Zhang, Guanghua Yu, Yi Su, Hong Liu, Jinxiang Ou, Keyao Wang, Weile Chen, Haozhao Kuang, Kai Wang, Nuo Chen, Zihao Zheng, Chenhao Wang, Bin Xing, Chengcheng Xu, Tinghao Yu, Binghong Wu, Long Xu, Jiacheng Shi, Yunhao Wang, Baifang Chen, Lei Zhang, Qi Yang, Zhao Wu, Jiacheng Li, Lan Jiang, Lanrui Wang, Kai Zhang, Shuaipeng Li, Zhongzhi Chen, Weixuan Su
· 2026
Faithful-MR1: Faithful Multimodal Reasoning via Anchoring and Reinforcing Visual Attention
Changyuan Tian, Zhicong Lu, Huaxing Liu, Xiang Wang, Shuai Li, Yu Chen, Wenqian Lv, Zichuan Lin, Juncheng Diao, Deheng Ye
· 2026
Text Mining
S. Karthikeyan, Jeevanandam Jotheeswaran, B. Balamurugan, Jyotir Moy Chatterjee
· 2020
MARQUIS: A Three-Stage Pipeline for Video Retrieval-Augmented Generation
Debashish Chakraborty, Dengjia Zhang, Jialiang Jin, Hanting Liu, Katherine Guerrerio, Hanxiang Qin, Tyler Skow, Alexander Martin, Reno Kriz, Benjamin Van Durme
· 2026
Uncertainty-Calibrated Recommendations for Low-Active Users
Bob Junyi Zou, Sai Li, Tianyun Sun, Wentao Guo, Qinglei Wang
· 2026
Accelerating AI-Powered Research: The PuppyChatter Framework for Usable and Flexible Tooling
Chun-Hsiung Tseng, Hao-Chiang Koong Lin, Andrew Chih-Wei Huang, Yung-Hui Chen, Jia-Rou Lin
· 2026
ClinSeekAgent: Automating Multimodal Evidence Seeking for Agentic Clinical Reasoning
Juncheng Wu, Letian Zhang, Yuhan Wang, Haoqin Tu, Hardy Chen, Zijun Wang, Cihang Xie, Yuyin Zhou
· 2026
From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models
Juncheng Wu, Hardy Chen, Haoqin Tu, Xianfeng Tang, Freda Shi, Hui Liu, Hanqing Lu, Cihang Xie, Yuyin Zhou
· 2026
The 99% Success Paradox: When Near-Perfect Retrieval Equals Random Selection
Vyzantinos Repantis, Harshvardhan Singh, Tony Joseph, Cien Zhang, Akash Vishwakarma, Svetlana Karslioglu, Michael Wyatt Thot, Ameya Gawde
· 2026
Towards Self-Evolving Agentic Literature Retrieval
Yuwen Du, Tian Jin, Jing Kang, Xianghe Pang, Jingyi Chai, Tingjia Miao, Fenyi Liu, WenHao Wang, Sikai Yao, Yuzhi Zhang, Siheng Chen
· 2026
Efficient Generative Retrieval for E-commerce Search with Semantic Cluster IDs and Expert-Guided RL
Jianbo Zhu, Xing Fang, Jing Wang, Mingmin Jin, Bokang Wang, Guangxin Song, Zhenyu Xie, Junjie Bai
· 2026
Fairness-Aware Retrieval Optimization for Retrieval-Augmented Generation
Yingqi Zhao, Vasilis Efthymiou, Jyrki Nummenmaa, Kostas Stefanidis
· 2026
Generative Long-term User Interest Modeling for Click-Through Rate Prediction
Jiangli Shao, Kaifu Zheng, Hao Fang, Huimu Ye, Zhiwei Liu, Bo Zhang, Shu Han, Xingxing Wang
· 2026
LERA: LLM-Enhanced RAG for Ad Auction in Generative Chatbots
Haoran Sun, Xinrui Song, Xinyu Zhang, Zhaohua Chen, Xu Chu, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng, Xiaotie Deng
· 2026
CLIF: Concept-Level Influence Functions for Transparent Bottleneck Models
Yike Sun, Mingkun Xu, Mu You, Zhongzhi He, Henghua Shen, Zehan Tan, Derek F. Wong, Tao Fang
· 2026
Where Does Authorship Signal Emerge in Encoder-Based Language Models?
Francis Kulumba, Guillaume Vimont, Laurent Romary, Florian Cafiero
· 2026
🚀 NLP Colloquium
Ayana Niwa, Sho Yokoi, Junya Takayama, Itsumi Saito
· 2024
HalluWorld: A Controlled Benchmark for Hallucination via Reference World Models
Emmy Liu, Varun Gangal, Michael Yu, Zhuofu Tao, Karan Singh, Sachin Kumar, Steven Y. Feng
· 2026
Deep Learning for NLP
Akshay Kulkarni, Adarsha Shivananda
· 2021
Text Mining and Natural Language Processing
Robert Nisbet, John Elder, Gary Miner
· 2009
Prompt Compression in Diffusion Large Language Models: Evaluating LLMLingua-2 on LLaDA
Sterling Huang, Abigayle Brown, Jiyoo Noh, Jiakang Xu, Wantong Huo, Kaung Myat Kyaw, Jonathan Chan
· 2026
Universal Adversarial Triggers
Benedict Florance Arockiaraj, Alexander Feng, Jianxiong Cai, Xiaoyu Cheng
· 2026
Easier to Judge than to Find: Predicting In-Context Learning Success for Demonstration Selection
Haochun Wang, Chaofen Yang, Jiatong Liu, Jingbo Wang, Zewen Qiang, Sendong Zhao, Bing Qin, Ting Liu
· 2026
Continuous Diffusion Scales Competitively with Discrete Diffusion for Language
Zhihan Yang, Wei Guo, Shuibai Zhang, Subham Sekhar Sahoo, Yongxin Chen, Arash Vahdat, Morteza Mardani, John Thickstun
· 2026
STT-Arena: A More Realistic Environment for Tool-Using with Spatio-Temporal Dynamics
Tingfeng Hui, Hao Xu, Pengyu Zhu, Hongsheng Xin, Kun Zhan, Sen Su, Chunxiao Liu, Ning Miao
· 2026
Natural Language Processing: An Introduction
Shailendra Kadre, Shailesh Kadre, Subhendu Dey
· 2025
Judge Circuits
Nils Feldhus, Tanja Baeumel, Elena Golimblevskaia, Qianli Wang, Van Bach Nguyen, Aaron Louis Eidt, Christopher Ebert, Wojciech Samek, Jing Yang, Vera Schmitt, Sebastian Möller, Simon Ostermann
· 2026
Ascend-RaBitQ: Heterogeneous NPU-CPU Acceleration of Billion-Scale Similarity Search with 1-bit Quantization
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Argus: Evidence Assembly for Scalable Deep Research Agents
Zhen Zhang, Liangcai Su, Zhuo Chen, Xiang Lin, Haotian Xu, Simon Shaolei Du, Kaiyu Yang, Bo An, Lidong Bing, Xinyu Wang
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Dynamic Chunking for Diffusion Language Models
Yichen Zhu, Xiaoming Shi, Peng Zhao, Weiyu Chen, Debing Zhang, James Kwok
· 2026
VCG-Bench: Towards A Unified Visual-Centric Benchmark for Structured Generation and Editing
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Small, Private Language Models as Teammates for Educational Assessment Design
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Automatic Evaluation of Ontologies
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· 2024
Nexus : An Agentic Framework for Time Series Forecasting
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· 2026
Agentic Recommender System with Hierarchical Belief-State Memory
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· 2026
SWE-Chain: Benchmarking Coding Agents on Chained Release-Level Package Upgrades
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