Findings of the Association for Computational Linguistics 2026: all accepted papers
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- PhysPRM: A Generative Process Reward Model with Fine-grained Diagnosis for Physics Problem Solving ↗Yuxuan Dong, Xinyu Zhang, Lingling Zhang et al.
- PiCSAR: Probabilistic Confidence Selection and Ranking for Reasoning Chains ↗Joshua Ong Jun Leang, Zheng Zhao, Aryo Pradipta Gema et al.
- PibE-MPP: A Play-it-by-Ear Masking Performance Plug-in for LLMs ↗Mengwei Wang, Simin Niu, Xun Liang et al.
- PictoEduca: Building a Dataset for Spanish Text-to-Pictogram Generation ↗Alfonso Manuel Paredes Umeres, Marco Antonio Sobrevilla Cabezudo
- PivotAttack: Rethinking the Search Trajectory in Hard-Label Text Attacks via Pivot Words ↗Yuzhi Liang, Shiliang Xiao, Jingsong Wei et al.
- PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMs ↗Zijing Wang, YongKang Liu, Mingyang Wang et al.
- PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs ↗Jiacheng Wang, Weiyan Zhang, Guangya Yu
- PlanRAG-Audio: Planning and Retrieval Augmented Generation for Long-form Audio Understanding ↗Masao Someki, Chien-yu Huang, Siddhant Arora et al.
- Planning Beyond Text: Graph-based Reasoning for Complex Narrative Generation ↗Hanwen Gu, Chao Guo, Junle Wang et al.
- PlotGen-Bench: Evaluating VLMs on Generating Visualization Code from Diverse Plots across Multiple Libraries ↗Yi Zhao, Zhen Yang, Shuaiqi Duan et al.
- Plug-and-Play Data Module for Code RL: Adaptive Ambiguity Replay ↗Jianqing Zhang, Wei Xia, Zhezheng Hao et al.
- Policy-Guided Stepwise Action Planning for Controllable LLM Reasoning ↗Jianpeng Zhou, Qisheng Hu, Jiahai Wang et al.
- PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models ↗Han Bao, Penghao Zhang, Yue Huang et al.
- Poller: Are LLMs Suitable for Evaluating Poetry Understanding Task? ↗Shanshan Wang, Derek F. Wong, Jingming Yao et al.
- PolyAudio: Advancing Multi-Audio Reasoning in Large Audio Language Models with Interleaved Multi-Audio Contexts ↗Sonal Kumar, Sreyan Ghosh, Yueqian Lin et al.
- Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers ↗Atsushi Shimizu, Shohei Taniguchi, Yutaka Matsuo
- Position Paper: How Should We Responsibly Adopt LLMs in the Peer Review Process? ↗Juhwan Choi, JungMin Yun, Changhun Kim et al.
- Position: From Noise to Signal to Selbstzweck - Reframing Human Label Variation in the Era of Post-training in NLP ↗Shanshan Xu, Santosh T.Y.S.S, Barbara Plank
- Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption ↗Yepeng Liu, Xuandong Zhao, Dawn Song et al.
- PrefIx: Understand and Adapt to User Preference in Human-Agent Interaction ↗Jialin Li, Zhenhao Chen, Hanjun Luo et al.
- Preference Estimation via Opponent Modeling in Multi-Agent Negotiation ↗Yuta Konishi, Kento Yamamoto, Eisuke Sonomoto et al.
- Preference Learning Unlocks LLMs' Psycho-Counseling Skills ↗Mian Zhang, Shaun M. Eack, Zhiyu Chen
- Preference Optimization for Review Question Generation Improves Writing Quality ↗Karun Sharma, Vidushee Vats, Shengzhi LI et al.
- Preserving Language Capabilities in Vision-Language Models via Representation Regulation ↗ZiXuan Chen, Juncheng Tao, Ziqian Zeng
- PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning ↗Langming Liu, Kangtao Lv, Haibin Chen et al.
- Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints ↗Songping Peng, Zhiheng Zhang, Daojian Zeng et al.
- Principled Detection of Hallucinations in Large Language Models via Multiple Testing ↗Jiawei Li, Akshayaa Magesh, Venugopal Veeravalli
- PrinciplismQA: A Philosophy-Grounded Approach to Assessing LLM-Human Clinical Medical Ethics Alignment ↗Chang Hong, Minghao Wu, Qingying Xiao et al.
- Prior Beliefs Prejudice LLM-as-Judge: Evidence from Persuasion Evaluation ↗Pardis Sadat Zahraei, Xiaoning Wang, Nimet Beyza Bozdag et al.
- Privacy Risks of Intermediate Representations: Attribute Inference in Distributed LLM Inference ↗Yang Lyu, Jin Cao, Yang Xiao et al.
- Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation ↗Jinwen Chen, Hainan Zhang, Liang Pang et al.
- Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation ↗Qian Ma, Sarah Rajtmajer
- ProCeedRL: Process Critic with Explorative Demonstration Reinforcement Learning for LLM Agentic Reasoning ↗Jingyue Gao, Yanjiang Guo, Chen Xiaoshuai et al.
- ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection ↗Tao Liu, Taiqiang Wu, Runming Yang et al.
- ProMCP: Profiling Token Flows and Latency Costs in Model Context Protocol–Based LLM Agents ↗Sumera Anjum, Weijian Zheng, Rajkumar Kettimuthu et al.
- ProMediate: A Simulation Testbed for Evaluating Proactive Mediation in Multi-Party Negotiation ↗Ziyi Liu, Bahareh Sarrafzadeh, Pei Zhou et al.
- ProToM: Promoting Prosocial Behaviour via Theory of Mind-Informed Feedback ↗Matteo Bortoletto, Yichao Zhou, Lance Ying et al.
- ProUIE: A Macro-to-Micro Progressive Learning Method for LLM-based Universal Information Extraction ↗Wenda Liu, Song Zhigang, Shuai Nie et al.
- Probabilistic Depression Detection from Textual Time Series ↗Fabian Schmidt, Seyedehmoniba Ravan, Vladimir Vlassov
- Probing Multimodal Large Language Models on Cognitive Biases in Chinese Short-Video Misinformation ↗Jen-tse Huang, Chang Chen, Shiyang Lai et al.
- Probing Social Identity Bias in Chinese LLMs with Gendered Pronouns and Social Groups ↗Geng Liu, Li Feng, Junjie Mu et al.
- Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not Stable ↗Zhenheng Tang, Qihua Pan, Jingya Shen et al.
- Progra: Progress-Aware Reinforcement Learning for Multi-Turn Function Calling ↗Huacan Chai, Zijie Cao, Maolin Ran et al.
- Program Structure-aware Language Models: Targeted Software Testing beyond Textual Semantics ↗Khang Tran, Khoa Nguyen, Cristian Borcea et al.
- Program-of-Thought Reveals LLM Abstraction Ceilings ↗Mike Zhou, Fenil Bardoliya, Vivek Gupta et al.
- Progress Ratio Embeddings: An Impatience Signal for Robust Length Control in Neural Text Generation ↗Ivanhoé Botcazou, Tassadit Amghar, Sylvain Lamprier et al.
- Progressive Planning and Reinforced Reasoning: Large Language Model-Guided Multi-hop Question Answering over Knowledge Graph ↗Xiang Li, Runhai Jiao, Ruifan Li et al.
- Progressive Re-ranking for Multimodal Retrieval-Augmented Generation via Curriculum Learning ↗Zhu Min, Yanchao Hao, Jian Liu et al.
- Prompt Injection in Automated Résumé Screening with Large Language Models: Single and Multi-Injection Settings ↗Preet Baxi, Jiannan Xu, Jane Yi Jiang et al.
- Prompt Optimization for Relation Extraction using Reinforcement Learning ↗Ying Liu, Dong Shuai, Cui Zibo et al.
- Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning ↗Wenjin Liu, Haoran Luo, Xueyuan Lin et al.
- PromptPrism: A Linguistically-Inspired Taxonomy for Prompts ↗Sullam Jeoung, Yueyan Chen, Yi Zhang et al.
- Prompting Across Time: Evaluating LLMs on Historical and Contemporary Offensive Language ↗Sanne Hoeken, Sophie Jasmin Spliethoff, Silke Schwandt et al.
- Prompting Test-Time Scaling Is A Strong LLM Reasoning Data Augmentation ↗Sondos Mahmoud Bsharat, Zhiqiang Shen
- Propaganda Signals in LLMs: Perspectival Divergence and Narrative Framing in the Russia-Ukraine War ↗Ofir Shabat, Ido Guy, Kira Radinsky
- ProtoCycle: Reflective Tool-Augmented Planning for Text-Guided Protein Design ↗Yutang Ge, Guojiang Zhao, Sihang Li et al.
- Pru-CoT: Towards Efficient Reasoning Distillation via Pruning Chain-of-Thought ↗Han Liu, Shuotian Ma, Hui Li et al.
- Pseudo2Real: Task Arithmetic for Pseudo-Label Correction in Automatic Speech Recognition ↗Yi-Cheng Lin, Yu-Hsuan Li Liang, Hsuan Su et al.
- PseudoGD: Enhancing Spatial Reasoning in Vision-Language Models through Pseudo Geometric Knowledge Distillation ↗Gwanghee Lee, Yeeun Choi, Kyoungson Jhang
- PseudoSeer: a Search Engine for Pseudocode ↗Levent Toksoz, Mukund Srinath, Gang Tan et al.
- PsyChain: A Collaborative Chain-of-Agents Framework for Generating Personalized and Professional Counseling Dialogues ↗Yi Feng, Zijie Yang, Chen Zhang et al.
- PsyPath: Psychologically-guided Self-Exploration for Personality Detection ↗Zheng Li, Hongxin Ding, Chenyu Zhang et al.
- PsyProbe: Proactive and Interpretable Dialogue through User State Modeling for Exploratory Counseling ↗Sohhyung Park, Hyunji Kang, Sungzoon Cho et al.
- PsychePass: Calibrating LLM Therapeutic Competence via Trajectory-Anchored Tournaments ↗Zhuang Chen, Dazhen Wan, Zhangkai Zheng et al.
- Psychological Counseling Cannot Be Achieved Overnight: Automated Psychological Counseling Through Multi-Session Conversations ↗Bichen Wang, Junzhe Wang, Yixin Sun et al.
- Punctuations and Predicates in Language Models ↗Sonakshi Chauhan, Maheep Chaudhary, Choy Kwan Kiu et al.
- Purging the Gray Zone: Latent-Geometric Denoising for Precise Knowledge Boundary Awareness ↗Hao An, Yibin Lou, Jiayi Guo et al.
- Pushing the Frontiers of Scientific Fact-Checking: The SCINLP Dataset ↗Iffat Maab, Junichi Yamagishi
- Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation ↗Yupu Hao, Zhuoran Jin, Huanxuan Liao et al.
- PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data ↗Kai Xiong, Yanwei Huang, Rongjunchen Zhang et al.
- PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models ↗Zetian Ouyang, Linlin Wang, Gerard de Melo et al.
- Q2EI: Query-to-Entity Inference for Semantic Condensation in Domain-Specific Retrieval ↗Yixuan Sun, Zhenqin Xu, HanFeng Zhai et al.
- QFrBLiMP: a Quebec-French Benchmark of Linguistic Minimal Pairs ↗David Beauchemin, Pier-Luc Veilleux, Richard Khoury et al.
- QUARTZ: Quantile-Aware Routing and Queueing for TTFT SLOs in LLM Serving ↗Zhipeng Liu, Yifan Zheng, Fanqi Kong et al.
- QaRL: Rollout-Aligned Quantization-Aware RL for Fast and Stable Training under Training–Inference Mismatch ↗Hao Gu, Hao Wang, Jiacheng Liu et al.
- Quantifying Data Contamination in Psychometric Evaluations of LLMs ↗Jongwook Han, Woojung Song, Jonggeun Lee et al.
- Quantize What Counts: More for Keys, Less for Values ↗Mohsen Hariri, Alan Luo, Weicong Chen et al.
- QueerGen: How LLMs Reflect Societal Norms on Gender and Sexuality in Sentence Completion Task ↗Mae Sosto, Delfina S. Martinez Pandiani, Laura Hollink
- Query-Aware Graph Attention for Precise Subgraph Retrieval in Knowledge-Augmented Reasoning ↗Yuanye Xu, Linyi Guo, Yue Zhang et al.
- Query-Focused Individual Simulation with Progressive Persona Completion ↗Weiwen SU, Naoki Yoshinaga, Masashi Toyoda
- Query4Regex: Verifiable Regex Transformation through Formal Operations from NL and DSL Queries ↗Joonghyuk Hahn, Yo-Sub Han
- QueryLink: Leveraging Query-Memory Alignment for Long-Term Reasoning in LLM Agents ↗Xuxian Hu, Zhu Teng, Wei Zhang et al.
- QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs ↗Taolin Zhang, Haidong Kang, Dongyang Li et al.
- R$^3$-SQL: Ranking Reward and Resampling for Text-to-SQL ↗Hojae Han, Yeonseok Jeong, Seung-won Hwang et al.
- R-GDA: Reflective Guidance Data Augmentation with Multi-Agent Feedback for Domain-Specific Named Entity Recognition ↗Hyeonseok Kang, Hyuk Namgoong, Goun Pyeon et al.
- R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning ↗Qingfei Zhao, Ruobing Wang, Dingling Xu et al.
- RACC: Regret-Aware Confidence Calibration for Consistent Masked Discrete Diffusion Decoding ↗Qinglin Zeng, Jusheng Zhang, Jing Yang et al.
- RADAR: A Reasoning-Guided Attribution Framework for Explainable Visual Data Analysis ↗Anku Rani, Aparna Garimella, Apoorv Saxena et al.
- RADS: Reinforcement Learning-Based Sample Selection Improves Transfer Learning in Low-resource and Imbalanced Clinical Settings ↗Wei Han, David Martinez Iraola, Anna Khanina et al.
- RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation ↗Ran Xu, Yuchen Zhuang, Yue Yu et al.
- RAG or Learning? Understanding the Limits of LLM Adaptation under Continuous Knowledge Drift in the Real World ↗Hanbing Liu, Lang Cao, Yang Li
- RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking ↗Jiaru Zou, Dongqi Fu, Sirui Chen et al.
- RAG-KT: Cross-platform Explainable Knowledge Tracing with Multi-view Fusion Retrieval Generation ↗Zhiyi Duan, Hongyu Yuan, Rui Liu
- RAMP: Risk-Aware Multi-Turn Planning for Jailbreak Red-Teaming ↗Yize Liu, Yunyun Hou, Aina Sui
- RAP-ID: Mechanistic Prompt Injection Detection via Impostor Behavior Analysis ↗Yuchen Yang, Lei Peng, Yujie He et al.
- RATION: Entropy-Driven Task-Adaptive Visual Attention Allocation Framework for Multimodal Reasoning ↗Xingle Xu, Fanheng Kong, Dexian Cai et al.
- RB-LoRA: Rank-Balanced Aggregation for Low-Rank Adaptation with Federated Fine-Tuning ↗Sihyeon Ha, Yongjeong Oh, Yo-Seb Jeon
- RCBSF: A Multi-Agent Framework for Automated Contract Revision via Stackelberg Game ↗Shijia Xu, Yu Wang, Xiaolong Jia et al.
- RCTEA: Richness-guided Co-training for Temporal Entity Alignment ↗Jiayun Li, Wen Hua, Shiqi Fan et al.
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