Findings of the Association for Computational Linguistics 2026: all accepted papers
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- RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual Sensitivity ↗Jisu Shin, Hoyun Song, Juhyun Oh et al.
- Rolling Out Data Quality Overnight, without losing the plot: A Multi-Agent System for Speech Data Quality Management ↗Rishabh Kumar, Abhinav Painuli, Chriss Philip Saji et al.
- Rotation Control Unlearning: Quantifying and Controlling Continuous Unlearning for LLM with The Cognitive Rotation Space ↗Xiang Zhang, Kun Wei, Xu Yang et al.
- RouterHGC: Optimized Router for LLM-based Multi-Agent Systems via Heterogeneous Graph Contrastive Learning ↗Yitao Xiao, Shaoyong Guo, Guoming Yang et al.
- S2H-DPO: Hardness-Aware Preference Optimization for Vision–Language Models ↗Nitish Shukla, Surgan Jandial, Arun Ross
- S2ST-Omni: Hierarchical Language-Aware SpeechLLM Adaptation for Multilingual Speech-to-Speech Translation ↗Yu Pan, Xiongfei Wu, Yang Yuguang et al.
- SAFER: A Controllable Safeguard for LLMs against Backdoor Attacks ↗Zirui Hu, Zheng Zhang, Yingjie Wang et al.
- SAFER: Advancing Safety Alignment via Efficient Ex-Ante Reasoning ↗Kehua Feng, Keyan Ding, Yuhao Wang et al.
- SAGE : A Top-Down Bottom-Up Knowledge-Grounded User Simulator for Multi-turn Agent Evaluation ↗Ryan Shea, Yunan Lu, Liang Qiu et al.
- SAGE: Sign-Adaptive Gradient for Memory-Efficient LLM Optimization ↗Wooin Lee, Hyun-Tae Kim
- SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback ↗Fangyuan Xu, Rujun Han, Yanfei Chen et al.
- SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph ↗Jiazheng Li, Yawei Wang, Qiaojing Yan et al.
- SAM-NER: Semantic Archetype Mediation for Zero-Shot Named Entity Recognition ↗Ruichu Cai, Juntao Gan, Miao Mai et al.
- SAMem: State-Aware Memory as a Fine-Grained Memory for LLM Agents in Decision-Making ↗Tong Wang, Pei Xu, Shiyue Cao et al.
- SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning ↗Boyan Shi, Wei Chen, Shuyuan Zhao et al.
- SARA: Unlocking Multilingual Knowledge in Mixture-of-Experts via Semantically Anchored Routing Alignment ↗Tianyu Dong, Yangyang Liu, Jiang Zhou et al.
- SCALE: Upscaled Continual Learning of Large Language Models ↗Jin-woo Lee, Junhwa Choi, Bongkyu Hwang et al.
- SCALER: Synthetic Scalable Adaptive Learning Environment for Reasoning ↗Caijun Xu, Changyi Xiao, Zhongyuan Peng et al.
- SCMAPR: Self-Correcting Multi-Agent Prompt Refinement for Complex-Scenario Text-to-Video Generation ↗Chengyi Yang, Pengzhen Li, Jiayin Qi et al.
- SCOPE: Preserving Modality-Specific Cues to Mitigate Modality Laziness in Multimodal Learning ↗Jingfan Yang, Rui Zhang, Liang Hong et al.
- SCRIPT: A Subcharacter Compositional Representation Injection Module for Korean Pre-Trained Language Models ↗SungHo Kim, Juhyeong Park, Eda Atalay et al.
- SCURank: Ranking Multiple Candidate Summaries with Summary Content Units for Enhanced Summarization ↗Bo-Jyun Wang, Ying-Jia Lin, Hung-Yu Kao
- SD-E2: Semantic Exploration for Reasoning Under Token Budgets ↗Kshitij Mishra, Nils Lukas, Salem Lahlou
- SDC-LoRA: Singular-Subspace Drift Controlled LoRA to Mitigate Knowledge Forgetting ↗Geyuan Zhang, Xiaofei Zhou, Shihao Liu et al.
- SEA-Guard: Culturally Grounded Multilingual Safeguard for Southeast Asia ↗Panuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji et al.
- SEA-SafeguardBench: Culturally Grounded Safety Benchmark for Southeast Asian Languages ↗Panuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji et al.
- SEAD: A Surrogate-free Label-only Membership Inference Attack against Pre-trained LLMs with Semantic-Aware Density ↗Biao Yi, Jiahao Li, Yiming Li et al.
- SEAD: Self-Evolving Agent for Multi-Turn Service Dialogue ↗Yuqin Dai, Ning Gao, Wei Zhang et al.
- SEAM: Bridging the Temporal-Semantic Granularity Gap for LLM-based Speech Recognition ↗Junseok Oh, Ji-Hwan Kim
- SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering ↗FU Yuqing, Yimin Deng, Wanyu Wang et al.
- SEC-FinTables: Evaluating Large Language Models for Detecting Logical Inconsistencies on Tabular Data ↗Shuyan Ke, Qiong Wu, Hui Li et al.
- SEMA-RAG: A Self-Evolving Multi-Agent Retrieval-Augmented Generation Framework for Medical Reasoning ↗Yongfeng Huang, Ruiying Chen, James Cheng
- SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification ↗Zhifeng Hao, Zhongjie Chen, Junhao Lu et al.
- SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams ↗Chenglong Wang, Canjia Li, Xingzhao Zhu et al.
- SGA-MCTS: Decoupling Planning from Execution via Training-Free Atomic Experience Retrieval ↗Xin Xie, Dongyun Xue, Wuguannan Yao et al.
- SGG-R$^\rm 3$: From Next-Token Prediction to End-to-End Unbiased Scene Graph Generation ↗Jiaye Feng, Qixiang Yin, Yuankun Liu et al.
- SIRAJ: Diverse and Efficient Red-Teaming for LLM Agents via Distilled Structured Reasoning ↗Kaiwen Zhou, Ahmed Elgohary, A S M Iftekhar et al.
- SIV-Bench: A Video Benchmark for Social Interaction Understanding and Reasoning ↗Fanqi Kong, Weiqin Zu, Xinyu Chen et al.
- SLANG-GraphRAG: Multi-Layered Retrieval with Domain-Specific Knowledge for Low Resource Social Media Conversations ↗Ifeoluwa Wuraola, Daniel Marciniak, Nina Dethlefs
- SLIP: Soft Label Mechanism and Key-Extraction-Guided CoT-based Defense Against Instruction Backdoor in APIs ↗Wu Zhengxian, Juan Wen, Wanli Peng et al.
- SMART-Editor: A Multi-Agent Framework for Human-Like Design Editing with Structural Integrity ↗Ishani Mondal, Meera Bharadwaj, Ayush Roy et al.
- SMART: Semantic Header Flattening and Pseudo-Code-Style Reasoning for LLM-based Complex Table Question Answering ↗Yongshuo Zhang, Jixiong Chen, Kaihe xu et al.
- SOLAR-RL: Semi-Online Long-horizon Assignment Reinforcement Learning ↗Jichao Wang, Liuyang Bian, Yufeng Zhou et al.
- SOP-Maze: Evaluating Large Language Models on Complicated Business Standard Operating Procedures ↗Jiaming Wang, Zhe Tang, Zehao Jin et al.
- SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models ↗Weijiang Lv, Yaoxuan Feng, Xiaobo Xia et al.
- SPIDE: Serial and Parallel Intertwined Speculative Decoding ↗Wenru Xu, Peixuan Xu, Ziqi Yang et al.
- SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models ↗Yifu Huo, Chenglong Wang, Ziming Zhu et al.
- SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning ↗Dai Do, Manh Nguyen, Svetha Venkatesh et al.
- SParK-Eval: Evaluating Structure-Aware Knowledge Acquisition in LLMs for Domain Adaptation to Industrial Records ↗Ekant Muljibhai Amin, Yuta Koreeda, Yasuhiro Sogawa
- SQL-ASTRA: Alleviating Sparse Feedback in Agentic SQL via Column-Set Matching and Trajectory Aggregation ↗Long Li, Zhijian Zhou, Jiangxuan Long et al.
- SQLAgent: Learning to Explore Before Generating as a Data Engineer ↗Wenjia Jiang, Yiwei Wang, Boyan Han et al.
- SR-RAG: Verifiable Multi-Hop Reasoning via On-the-fly Symbolic Graph Construction ↗Zehua Wang, Zhaojin Zhang, Boyu Qiu et al.
- SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation ↗Wenjie Yang, Mao Zheng, Mingyang Song et al.
- STAR-Teaming: A Strategy-Response Multiplex Network Approach to Automated LLM Red Teaming ↗Min Jae Jung, YongTaek Lim, Chaeyun Kim et al.
- STEP: Success-Rate-Aware Trajectory-Efficient Policy Optimization ↗Yuhan Chen, Yuxuan Liu, Long Zhang et al.
- STaD: Scaffolded Task Design for Identifying Compositional Skill Gaps in LLMs ↗Sungeun An, Swanand Ravindra Kadhe, Shailja Thakur et al.
- SWE-AGILE: A Software Agent Framework for Efficiently Managing Dynamic Reasoning Context ↗Shuquan Lian, Juncheng Liu, Yazhe Chen et al.
- SWE-Mutation: Can LLMs Generate Reliable Test Suites in Software Engineering? ↗Yuxuan Sun, Yuze Zhao, Yufeng Wang et al.
- SWE-QA-Pro: A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding ↗Songcheng Cai, Zhiheng Lyu, Yuansheng Ni et al.
- SWE-Swiss: A Multi-Task Fine-Tuning and RL Recipe for High-Performance Issue Resolution ↗Zhenyu He, Qingping Yang, Wei Shen et al.
- Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework ↗Jiaqi Weng, Han Zheng, Hanyu Zhang et al.
- SafeMERGE: Preserving Safety Alignment in Fine-Tuned Large Language Models via Selective Layer-Wise Model Merging ↗Aladin Djuhera, Swanand Ravindra Kadhe, Farhan Ahmed et al.
- SafeSearch: Do Not Trade Safety for Utility in LLM Search Agents ↗Qiusi Zhan, Angeline Budiman-Chan, Abdelrahman Zayed et al.
- SafeSteer: A Decoding-level Defense Mechanism for Multimodal Large Language Models ↗Xinyi Zeng, Xue Yang, Jingyuan Zhang et al.
- Safety Guardrails of Large Language Models Are Vulnerable to Value-Driven Adversarial Prompting ↗Xiaohao Luo, Ying Wei, Zhijun Li
- Safety Is Not Universal: The Selective Safety Trap in LLM Alignment ↗Iago Alves Brito, Walcy Rios, Julia Soares Dollis et al.
- Safety Sidecar: Reflection-Driven Runtime Control for Safer Agents ↗Wang Bin, Quan Jiazheng, Xingrui Yu et al.
- Safety-Aware Dialogue System for Postoperative Oral Cancer Care with Structured Clarification and a Clinically Curated Dataset ↗Tzu-Chi Liu, Hui-Ying Yang, Shiow-Ching Shun et al.
- SafetyALFRED: Evaluating Safety-Conscious Planning of Vision Language Models ↗Josue Torres-Fonseca, Naihao Deng, Yinpei Dai et al.
- Save the Good Prefix: Precise Error Penalization via Process-Supervised RL to Enhance LLM Reasoning ↗Haolin Liu, Dian Yu, Sidi Lu et al.
- Scaling Collaborative Effort with Agents ↗Shannon Zejiang Shen, Valerie Chen, Ken Gu et al.
- Scaling Cultural Resources for Improving Generative Models ↗Hayk Stepanyan, Aishwarya Verma, Andrew Zaldivar et al.
- Scaling Data-Constrained Language Models with Synthetic Data ↗Hirokazu Kiyomaru, Yusuke Oda, Takashi Kodama et al.
- Scaling Evaluation-Time Compute with Reasoning Models as Evaluators ↗Seungone Kim, Ian Wu, Jinu Lee et al.
- Scaling Laws for Code: Every Programming Language Matters ↗Jian Yang, Shuyue Guo, Linzheng Chai et al.
- Scaling Laws or Threshold Effects: Exploring the Optimal Vocabulary Size for Balancing Performance and Efficiency in Low-Resource Languages ↗Ao Han, Andong Chen, Yuan Sun et al.
- Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity Recognition ↗Qi Zhang, Fangping Lan, Cornelia Caragea et al.
- Scaling Unverifiable Rewards: A Case Study on Visual Insights ↗Shuyu Gan, James Mooney, Pan Hao et al.
- Scaling is Not All You Need: Clinical-Oriented Reinforcement Learning Makes Parameter-Efficient Clinical Reasoning ↗Chi Liu, Yan Shu, Mengzhuo Chen et al.
- Scattered Hypothesis Generation for Open-Ended Event Forecasting ↗He Chang, Zhulin Tao, Lifang Yang et al.
- SceneLM: 3D-Aware Language Models for Editable 3D Scene Synthesis ↗Xingbo Yao, Xiaoyu Chen, Doudou Zhang et al.
- SchemaGraphSQL: Efficient Schema Linking with Pathfinding Graph Algorithms for Text-to-SQL on Large-Scale Databases ↗AmirHossein Safdarian, Milad Mohammadi, Ehsan Jahanbakhsh Bashirloo et al.
- SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information Integration ↗Yinhao Tang, Youqing Fang, Yanan Sun et al.
- SciImpact: A Multi-Dimensional, Multi-Field Benchmark for Scientific Impact Prediction ↗Hangxiao Zhu, Yuyu Zhang, Ping Nie et al.
- SciText2Eq: Assessing LLMs for Explainable Equation Generation for Scientific Creativity ↗Yifan Mo, Xiao Fu, Yue Su et al.
- SciVQR: A Multidisciplinary Multimodal Benchmark for Advanced Scientific Reasoning Evaluation ↗Longteng Guo, Xuanxu Lin, Dongze Hao et al.
- Scripts Through Time: A Survey of the Evolving Role of Transliteration in NLP ↗Thanmay Jayakumar, Deepon Halder, Raj Dabre
- Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework ↗Yibo Yan, Mingdong Ou, Yi Cao et al.
- See More, Store Less: Memory-Efficient Resolution for Video Moment Retrieval ↗Mingyu Jeon, Sungjin Han, Jinkwon Hwang et al.
- See or Say Graphs: Agent-Driven Scalable Graph Understanding with Vision-Language Models ↗Shuo Han, Yukun Cao, Zezhong Ding et al.
- Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science ↗Sifan Wu, Huan Zhang, Yizhan Li et al.
- Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied Agents ↗Hanlin Wang, Chak Tou Leong, Jian Wang et al.
- Seek-and-Solve: Benchmarking MLLMs for Visual Clue-Driven Reasoning in Daily Scenarios ↗Xiaomin Li, Tala Wang, Zichen Zhong et al.
- Seer Self-Consistency: Advance Budget Estimation for Adaptive Test-Time Scaling ↗Shiyu Ji, Yixuan Wang, Yijun Liu et al.
- SegDRE: A Salient Entity Guided Approach to Document-Level Relation Extraction ↗Xing Yang, Chengxiang Tan
- Selective Steering: Norm-Preserving Control Through Discriminative Layer Selection ↗Quy-Anh Dang, Chris Ngo
- Self-Awareness before Action: Mitigating Logical Inertia via Proactive Cognitive Awareness ↗Fulong Fan, Peilin Liu, Liu FengZhe et al.
- Self-Consistency from Only Two Samples: CoT–PoT Ensembling for Efficient LLM Reasoning ↗Raman Saparkhan, Majd Hawasly, Md Rizwan Parvez et al.
- Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTS ↗Shijia Xu, Zhou Wu, Xiaolong Jia et al.
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