Findings of the Association for Computational Linguistics 2026: all accepted papers
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- ENPMR-Bench: Benchmarking Proactive Memory Retrieval for Emotional Support Agents ↗Xing Fu, Yulin Hu, Mengtong Ji et al.
- EOP-LLM: Energy Oriented Pruning for Large Language Models ↗Guan Huang, Tao Shu
- EPIR: Capturing Promoting and Inhibiting Relationships between Events ↗Bowen Dong, Wenjun Wang, Xueli Liu et al.
- ERRV: Eliciting Efficient Reasoning through Reasoning Vectors for Policy Optimization in Large Language Models ↗Zhuowen Han, Lei Yang, Renren Jin et al.
- ETHICA-MT: Introducing a Framework and Dataset for Studying Ethical Orientations in LLM-based Machine Translation ↗Omri Asscher, Arif Ahmad, Ananya Agrawal et al.
- ETOM: A Five-Level Benchmark for Evaluating Tool Orchestration within the MCP Ecosystem ↗Jia-Kai Dong, I-Wei Huang, Chun-Tin Wu et al.
- EULoInf: Efficient Hessian-Free Entropy Based Uncertainty-Aware Data Influence Approximation ↗Runxin Cai, Jingtan Wang, Bryan Kian Hsiang Low
- EVA: Evolving Semantic Adversaries for Red-Teaming GUI Agents Against Environmental Injection Attacks ↗Yijie Lu, Manman Zhao, Tianjie Ju et al.
- EVADE: LLM-Based Explanation Generation and Validation for Error Detection in NLI ↗Longfei Zuo, Barbara Plank, Siyao Peng
- EVGeoQA: Benchmarking LLMs on Dynamic, Multi-Objective Geo-Spatial Exploration ↗Jianfei Wu, Zhichun Wang, Zhensheng Wang et al.
- EXPO-SQL: Execution-based Clause-level Policy Optimization for Text-to-SQL ↗Jaehoon Lee, CheolWon Na, Suyoung Bae et al.
- Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement Learning ↗Zhiyin Yu, Bo Zhang, Qibin Hou et al.
- EchoMLLM: Incentivizing Echocardiographic Video Understanding with Keyframe Grounding and Report Generation ↗Heyu Huang, Wanran Sun, Chi Chen et al.
- EduMARS: Can Vision-Language Models Grade Like Teachers? Benchmarking Multimodal, Rubric-Based Assessment on Chinese K-12 Answers ↗Xuan Zhao, Jiashun Chen, Wanting xu et al.
- Efficient Hallucination Detection in Automatic Code Generation ↗Georgii Andriushchenko, Roman Garaev, Lyudmila Rvanova et al.
- Efficient PRM Training Data Synthesis via Formal Verification ↗Ryo Kamoi, Yusen Zhang, Nan Zhang et al.
- Efficient Reasoning for LLMs through Speculative Chain-of-Thought ↗Jikai Wang, Juntao Li, Jianye Hou et al.
- Efficient Table Retrieval and Understanding with Multimodal Large Language Models ↗Zhuoyan Xu, Haoyang Fang, Boran Han et al.
- Efficient Test-Time Scaling via Temporal Reasoning Aggregation ↗Jiakun Li, Xingwei He, Kefan Li et al.
- Efficient Training for Cross-lingual Speech Language Models ↗Yan Zhou, Qingkai Fang, Yun Hong et al.
- Efficient Transformer Parameter Reuse via Zero-Token Mechanism ↗Guanghao Li, Wenhao Jiang, Li Shen et al.
- Efficient and Effective Internal Memory Retrieval for LLM-Based Healthcare Prediction ↗Mingchen Li, Jiatan Huang, Zonghai Yao et al.
- EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video ↗Yuanmin Tang, Jue Zhang, Xiaoting Qin et al.
- ElasticFlow: One-Step Physics-Consistent Policy with Elastic Time Horizons for Language-Guided Manipulation ↗Kewei Chen, Yayu Long, Shuai Li et al.
- Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach ↗Haolin Li, Shuyang Jiang, Ruipeng Zhang et al.
- Embedding-based In-Context Prompt Training for Enhancing LLMs as Text Encoders ↗Ailiang Lin, Zhuoyun Li, Keyu Mao et al.
- Emergence and Localisation of Semantic Role Circuits in LLMs ↗Nura Aljaafari, Danilo Carvalho, Andre Freitas
- Emergent Relational Order in LLM Agent Societies: From Collective Affect to Authority Stratification ↗Zhiyuan Ji, Xinyu Chen, Ziqi Dai et al.
- EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and Missingness ↗Yueru Sun, Yimeng Zhang, Haoyu Gu et al.
- EmoRes: Toward Adaptive Psychological Support via User-Agnostic Benchmark and Topic-Mining Agent ↗Zhengwei Zou, Xuanming Jiang, Baoyi An et al.
- Emotion Recognition in Multi-Speaker Conversations through Speaker Identification, Knowledge Distillation, and Hierarchical Fusion ↗Li Xiao, Kotaro Funakoshi, Manabu Okumura
- Emotion Trajectory-aware Retrieval for Markov-driven Emotion Anticipation in LLM-based Emotional Support Conversation ↗Hongyan Wu, Zhiliang Tian, Zhen Huang et al.
- Emotion–Cause Pair Extraction in Conversations via Semantic Decoupling and Alignment ↗Tianxiang Ma, Weijie Feng, Xinyu Wang et al.
- Empathy Applicability Modeling for General Health Queries ↗Shan Randhawa, Agha Ali Raza, Kentaro Toyama et al.
- Empowering Reliable Visual-Centric Instruction Following in MLLMs ↗Weilei He, Feng Ju, Zhiyuan Fan et al.
- Enabling Autoregressive Models to Fill In Masked Tokens ↗Daniel Mingyi Israel, Aditya Grover, Guy Van den Broeck
- Enabling Stroke-Level Structural Analysis of Hieroglyphic Scripts without Language-Specific Priors ↗Fuwen Luo, Zihao Wan, Ziyue Wang et al.
- Enhancing Factuality through Consensus and Consistency in Summarization Using Minimum Bayes Risk Decoding ↗Riza Setiawan Soetedjo, Yusuke Sakai, Hidetaka Kamigaito et al.
- Enhancing Hallucination Detection via Future Context ↗Joosung Lee, Cheonbok Park, Hwiyeol Jo et al.
- Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection ↗Zhuoyang Wu, Xinze Li, Zhenghao Liu et al.
- Enhancing Multilingual RAG Systems with Debiased Language Preference-Guided Query Fusion ↗Jeonghyun Park, Byeongjeong Kim, Seojin Hwang et al.
- Enhancing Multilingual Reasoning via Steerable Model Merging ↗Zhuoran Li, Rui Xu, Jian Yang et al.
- Enhancing Reliability in Community Question Answering with an Expert-Oriented RAG System ↗Seyyede Zahra Aftabi, Saeed Farzi
- Enhancing Zero-Shot Time Series Forecasting in Off-the-Shelf LLMs via Noise Injection Prompting ↗Xingyou Yin, Ceyao Zhang, Min Hu et al.
- Enrich, Aggregate, and Generate: Three-stage Biomedical Data-to-Text Generation Using Large Language Models in Low-resource Scenarios ↗Yupian Lin, Guangya Yu, Yuang Bian et al.
- EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles ↗Aakriti Agrawal, Mucong Ding, Chenghao Deng et al.
- Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks ↗Haowei Fu, Bo Ni, Han Xu et al.
- Entity-aware Cross-lingual Claim Detection for Automated Fact-checking ↗Rrubaa Panchendrarajan, Arkaitz Zubiaga
- EntroBench: Evaluating LLM Watermarking Under Multi-Entropy Scenarios and Practical User Operations ↗Pengyuan Qin, Linnan Tu, Yuhan Ke et al.
- Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning ↗Zhenpeng Su, Leiyu Pan, Minxuan Lv et al.
- Entropy Scheduling in Reinforcement Learning for Large Language Models ↗Xingjin Wang, Howe Tissue, Lu Wang et al.
- Entropy-Aware Reshaping of Reinforcement Signals for Multi-Answer Reasoning ↗Zhi Li, Huidan Xu, Zhen Hu et al.
- EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis ↗Xiaoshuai Song, Haofei Chang, Guanting Dong et al.
- Escaping the Sisyphus Dilemma: Experience Replay for Robust Text-to-Optimization Modeling ↗Wantong Xie, Yinghao Chen, Yi-Xiang Hu et al.
- Establishing a Scale for Kullback-Leibler Divergence in Language Models Across Various Settings ↗Ryo Kishino, Yusuke Takase, Momose Oyama et al.
- Eval-RAR: Evaluation-Driven Retrieval-Augmented Reasoning via Reinforcement Learning ↗Heng Yu, Rui Li, Qi Liu et al.
- Evaluating Implicit Biases in LLM Reasoning through Logic Grid Puzzles ↗Fatima Jahara, Mark Dredze, Sharon Levy
- Evaluating Large Vision Language Models on Bangla Medical Visual Question Answering ↗Rafid Ahmed, Intesar Tahmid, Mir Sazzat Hossain et al.
- Evaluating Machine Translation Datasets for Low-Web Data Languages: A Gendered LensHellina Hailu Nigatu, Bethelhem Yemane Mamo, Bontu Fufa Balcha et al.our summary
- Evaluating Memory Capability in Continuous Lifelog Scenario ↗Jianjie Zheng, Zhichen Liu, Zhanyu Shen et al.
- Evaluating Morphological Plausibility of Subword Tokenization via Statistical Alignment with Morpho-Syntactic Features ↗Abishek Stephen, Jindřich Libovický
- Evaluating Multi-Hop Reasoning in Large Language Models: A Chemistry-Centric Benchmark ↗Mohammad Khodadad, Ali Shiraee Kasmaee, Mahdi Astaraki et al.
- Evaluating Perspectival Biases in Cross-Modal Retrieval ↗Teerapol Saengsukhiran, Peerawat Chomphooyod, Narabodee Rodjananant et al.
- Evaluating Reasoning Models for Queries with Presuppositions ↗Rose Sathyanathan, Kinshuk Vasisht, Danish Pruthi
- Evaluating Scene-based In-Situ Item Labeling for Immersive Conversational Recommendation ↗Jiazhou Liang, Yifan Simon Liu, David Guo et al.
- Evaluating the Impact of Reviewer Guideline Design on LLM-Based Automated Peer Review ↗Haowen Li, Yoichi Ishibashi, Masafumi Oyamada
- Evaluation Pitfalls and Sparsity Limitations in LLM-based Confidence Estimates for Classification ↗Elena Merdjanovska, Omar Zaidan, Andreas Rücklé
- Event Detection with a Context-Aware Encoder and LoRA for Improved Performance on Long-Tailed Classes ↗Abdullah Al Monsur, Nitesh Vamshi Bommisetty, Gene Louis Kim
- EviReport: From Reasoned Outlines to Evidence Tracked Long-Form Reports ↗Zihan Liu, Jianhui li, Zexin Wang et al.
- Evian: Towards Explainable Visual Instruction-tuning Data Auditing ↗Zimu Jia, Mingjie Xu, Andrew Estornell et al.
- Evidence-Aligned Entity Verification for Hallucination Detection in Retrieval-Augmented Generation ↗Runsong Jia, Zhen Fang, Mengjia Wu et al.
- EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning for LLMs ↗Huanyu Liu, Jia Li, Yihong Dong et al.
- EvoEdit: Evolving Null-space Alignment for Robust and Efficient Knowledge Editing ↗Sicheng Lyu, Yu Gu, Xinyu Wang et al.
- EvoHyper: Evolving Hypergraph Topologies for Unified Collaboration in Multi-Agent Communication ↗Heng Zhang, Yihao Zhong, Lubin Gan et al.
- EvoMD-LLM: Learning the Language of Species Evolution in Reactive Molecular Dynamics ↗Zhichen Tang, Zhengzheng Dang, Yulin Chen et al.
- EvoMemKG: An Evolvable Memory Agent for Multi-hop Knowledge Graph Reasoning ↗Shiyu Tian, Shuyue Xing, Zhuoxin Han et al.
- Evolving Agentic Workflow Driven by Human-Agent Collaboration ↗Yuxin Liu, Jinxuan Zhang, Yuezhang Peng et al.
- ExaGPT: Example-Based Machine-Generated Text Detection for Human Interpretability ↗Ryuto Koike, Masahiro Kaneko, Ayana Niwa et al.
- Examining the Utility of Self-disclosure Types for Modeling Annotators of Social Norms ↗Kieran Henderson, Kian Omoomi, Vasudha Varadarajan et al.
- ExpSeek: Self-Triggered Experience Seeking for Web Agents ↗Wenyuan Zhang, Xinghua Zhang, Haiyang Yu et al.
- Experience is the Teacher: Reusing Atomic Thoughts from LLMs to Improve Medical Dialogue ↗Guangya Yu, Hui Luo, Qi Ye et al.
- Experience-Driven Multi-Agent Optimization for Black-Box Jailbreak Attacks on Large Language Models ↗Zhaoyang Han, Yihe Liu, Kai Zhang et al.
- Experience-Driven Reflective Co-Evolution of Prompts and Heuristics for Autonomous Algorithm Design ↗Yihong Liu, Junyi Li, Hongyu Lu et al.
- ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language Models ↗Zhen Wang, Yuqi Ren, Yuehan Cui et al.
- Explain the Flag: Contextualizing Hate Speech Beyond Censorship ↗Jason Liartis, Eirini Kaldeli, Lamprini Gyftokosta et al.
- Explainable Quantum Program Repair with Verifiable Proof Traces ↗Tingting Li, Ziming Zhao, Zhaoxuan Li et al.
- Explanation Quality Assessment as Ranking with Listwise Rewards ↗Thomas Bailleux, Tanmoy Mukherjee, Emmanuel Lonca et al.
- Exploiting Tree Structure for Credit Assignment in Reinforcement Learning with Large Language Models ↗Hieu Tran, Zonghai Yao, Hong yu
- Exploration-Exploitation Reshaping towards Efficient Reasoning for Large Language Models ↗Yufeng Shi, Weilin Luo, Yuxiang Zhang et al.
- Exploring Coding Spot: Understanding Parametric Contributions to LLM Coding Performance ↗Dongjun Kim, Minhyuk Kim, Yongchan Chun et al.
- Exploring Iterative Controllable Summarization with Large Language Models ↗Sangwon Ryu, Heejin Do, Daehui Kim et al.
- Exploring Layer-wise Information Effectiveness for Post-Training Quantization in Small Language Models ↗He Xiao, Qingyao Yang, Dirui Xie et al.
- Exploring Multilingual Pre-trained Language Model for Aspect-based Sentiment Analysis ↗Ye Wang, Ruijun Jiang, Zhongqing Wang et al.
- Exploring Reasoning Reward Model for Agents ↗Kaixuan Fan, Kaituo Feng, Manyuan Zhang et al.
- Exploring Two-Phase Continual Instruction Fine-tuning for Multilingual Adaptation in Large Language Models ↗Divyanshu Aggarwal, Sankarshan Damle, Navin Goyal et al.
- Exploring the Capability Boundaries of LLMs in Mastering of Chinese Chouxiang Language ↗Dianqing Lin, Tian Lan, Jiali Zhu et al.
- ExpressivityBench: Can LLMs Communicate Implicitly? ↗Joshua Tint, Som Sagar, Aditya Taparia et al.
- Extraction of Texters' Explicit Emotion Expressions in Crisis Conversations ↗Greg Buda, Ignacio J. Tripodi, Kelly L. Zuromski et al.
- F-Actor: Controllable Conversational Behavior in Full-Duplex Models ↗Maike Züfle, Ondrej Klejch, Nicholas Sanders et al.
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