Findings of the Association for Computational Linguistics 2026: all accepted papers
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- TRACE: Two-Phase RL for Causal Graph Exploration and Deeper Psychological Intervention in Dynamic Counseling Scenarios ↗Shilin Tang, Zunyi Yin, Xuefeng Liang et al.
- TRM-Planner: Offline Target Planning and Distillation for Tiny Recursive Models ↗Euijin Baek, Housam Babiker, Mi-Young Kim et al.
- TRUST: Towards Robust Social Bot Detection via Uncertainty-Guided Pseudo-Labeling and Graph Structure Purification ↗Ruixuan Xu, Mengting Hu, Zhunheng Wang et al.
- TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy Optimization ↗Shichao Ma, Zhiyuan Ma, Ming Yang et al.
- TTVS: Boosting Self-Exploring Reinforcement Learning via Test-time Variational Synthesis ↗Sikai Bai, Haoxi Li, Jie Zhang et al.
- TURTLEAI: Benchmarking Multimodal Models for Visual Programming in Turtle Graphics ↗Chao Wen, Jacqueline Staub, Adish Singla
- TVWorld: Foundations for Remote-Control TV Agents ↗Zhantao Ma, Quanfeng Lu, Shuai Zhong et al.
- Table-R1: Region-based Reinforcement Learning for Table Understanding ↗Zhenhe Wu, Jian Yang, Zhongjiang He et al.
- Table-as-Search: Agentic Information Seeking is Table Completion ↗Tian Lan, Felix Henry, Bin Zhu et al.
- TableVista: Benchmarking Multimodal Table Reasoning under Visual and Structural Complexity ↗Zheyuan Yang, Liqiang Shang, Junjie Chen et al.
- TabularMath: Understanding Math Reasoning over Tables with Large Language Models ↗Shi-Yu Tian, Zhi Zhou, Wei Dong et al.
- Take Out Your Calculators: Estimating the Real Difficulty of Question Items with LLM Student Simulations ↗Christabel Acquaye, Yi Ting Huang, Marine Carpuat et al.
- Talent or Luck? Evaluating Attribution Bias in Large Language Models ↗Chahat Raj, Mahika Banerjee, Jinhao Pan et al.
- Talk to Your Slides: High-Efficiency Slide Editing via Language-Driven Structured Data Manipulation ↗Kyudan Jung, Hojun Cho, Jooyeol Yun et al.
- Tandem: Riding Together with Large and Small Language Models for Efficient Reasoning ↗Zichuan Fu, Xian Wu, Guojing Li et al.
- Targeted Exploration via Unified Entropy Control for Reinforcement Learning ↗Chen Wang, Lai Wei, Yanzhi Zhang et al.
- Targeting the Needle, Ignoring the Haystack: Anchoring Crucial Cues for Evolving Scam Call Detection via an LLM-Assisted Classifier ↗Tong Wu, Qinliang Su, Jianxing Yu et al.
- Task Matters: Knowledge Requirements Shape LLM Responses to Context–Memory Conflict ↗Kaiser Sun, Fan Bai, Mark Dredze
- Task-Related In-Context Learning ↗Wenqiang Wang, Peng Chen, Yan Xiao et al.
- Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models ↗Chenxi Zhou, Pengfei Cao, Jiang Li et al.
- Task-aware Block Pruning with Output Distribution Signals for Large Language Models ↗Song-ha Jo, Youngrok Ko, Sang-goo Lee et al.
- Teaching Language Models to Forecast Research Success Through Comparative Idea Evaluation ↗Srujan P Mule, Aniketh Garikaparthi, Manasi Patwardhan
- Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pretrained Models ↗Taido Purason, Pavel Chizhov, Ivan P. Yamshchikov et al.
- Telling Speculative Stories to Help Humans Imagine the Harms of Healthcare AI ↗Xingmeng Zhao, Tongnian Wang, Dan Schumacher et al.
- TempTool-R1: Tool-Augmented Reinforcement Learning for Temporal Knowledge Graph Question Answering ↗Zicheng Huang, Yajuan Tong, Xinhui Tu et al.
- Temporal Contrastive Decoding: A Training-Free Method for Large Audio-Language Models ↗Yanda Li, Yuhan Liu, Zirui Song et al.
- Temporal Flattening in LLM-Generated Text: Comparing Human and LLM Writing Trajectories ↗Zhanwei Cao, YeoJin Go, Yifan Hu et al.
- Temporal Token Matters: Investigating and Interpreting the Consistency of Temporal Ordering in Large Language Models ↗Zhen Yang, Xinyue Zhang, Ping Jian et al.
- Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and Reasoning ↗Cong Wan, Ying He, Zhongzhan Huang et al.
- Testing Low-Resource Language Support in LLMs Using Language Proficiency Exams: the Case of Luxembourgish ↗Cedric Lothritz, Jordi Cabot, Laura Bernardy
- Text Embedding as Treatment: A Meta Causal Approach for Robust Sentiment Classification ↗Fengxiang Cheng, Chuan Zhou, Xiang Li et al.
- Text-to-TrajVis: Enabling Trajectory Data Visualizations from Natural Language Questions ↗Tian Bai, Huiyan Ying, Kailong Suo et al.
- Text2Mem: A Unified Memory Operation Language for Memory Operating System ↗Leo Wang, Lihai Yang, Boyu Chen et al.
- TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine Action ↗Chenyue Zhou, Gürkan Solmaz, Flavio Cirillo et al.
- The Adaptive Interrogator: Detecting Trojan LLMs in Multi-Agent Systems via Evolved Conversational Strategies ↗Rana Muhammad Shahroz Khan, Ruichen Zhang, Zhen Tan et al.
- The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios ↗Daocheng Fu, Jianbiao Mei, Rong Wu et al.
- The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training ↗Rui Zhang, Hongwei Li, Yun Shen et al.
- The Best of Both Worlds: Combining Parallel and Sequential Inference Scaling via Aggregation Fine-Tuning ↗Yafu Li, Zhilin Wang, Tingchen Fu et al.
- The Confidence Paradox: Unveiling the Latent Discriminative Power of Diffusion Large Language Models in Mathematical Reasoning ↗Yansi Li, Gongshen Liu, Zhuosheng Zhang
- The Correlation Between Emotion in Text and Speech Segments is Limited: A Cross-Modal Study ↗David Lindevelt, Suzan Verberne, Joost Broekens
- The Curse of Verbalization: How Presentation Order Constrains LLM Reasoning ↗Yue Zhou, Henry Peng Zou, Barbara Di Eugenio et al.
- The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning ↗Mingkai Tian, Guorong Li, Yuankai Qi et al.
- The Double Bind: Revisiting Preprinting and Peer Review Two Years After the Removal of the ACL Anonymity Period ↗A Pranav, Shane Storks, Anne Lauscher
- The Illusion of Insight in Reasoning Models ↗Liv G. d'Aliberti, Manoel Horta Ribeiro
- The Impact of Off-Policy Training Data on Probe Generalisation ↗Adrians Skapars, Nathalie Maria Kirch, Samuel Dower et al.
- The Inner Monologue of Language Models: When Reasoning Traces Reveal More Than They Hide ↗Pratham Singla, Shivank Garg, Ayush Singh et al.
- The Learnability of Model-Theoretic Interpretation Functions in Artificial Neural Networks ↗Adrian Brasoveanu, Jakub Dotlacil
- The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM WatermarksYusheng Zhao, Jian Zhao, Tianle Zhang et al.our summary
- The Mechanics of Interference: Defusing Distractors in RAG via Sparse Autoencoder Interventions ↗Christian Giannetti, Giovanni Trappolini, Nicola Tonellotto et al.
- The Mediomatix Corpus: Parallel Data for Romansh Language Varieties via Comparable Schoolbooks ↗Zachary Hopton, Jannis Vamvas, Andrin Büchler et al.
- The Model Agreed, But Didn't Learn: Diagnosing Surface Compliance in Large Language Models ↗Xiaojie Gu, Ziying Huang, Weicong Hong et al.
- The Overlooked Role of Graded Relevance Thresholds in Multilingual Dense Retrieval ↗Tomer Wullach, Ori Shapira, Amir David Nissan Cohen
- The Price of Thought: A Multilingual Analysis of Reasoning, Performance, and Cost of Negotiation in Large Language Models ↗Sherzod Hakimov, Roland Bernard, Tim Leiber et al.
- The Sonar Moment: An Audio Geo-Localization Benchmark for Audio-Language Models ↗Ruixing Zhang, Zihan Liu, Leilei Sun et al.
- The Thin Line Between Comprehension and Persuasion in LLMs ↗Adrian de Wynter, Tangming Yuan
- TheraAgent: Self-Improving Therapeutic Agent for Precise and Comprehensive Treatment Planning ↗Junkai Li, Yunghwei Lai, Tianyi Zhu et al.
- Think Before you Write: QA-Guided Reasoning for Character Descriptions in Books ↗Argyrios Papoudakis, Mirella Lapata, Frank Keller
- Think Earlier, Not Longer: Prompt Optimization via Reducing Unhealthy Exploration ↗Ling-I Wu, Minyu Chen, Jingyang Li et al.
- Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time Compute ↗Hyewon Suh, Chaojian Li, Cheng-Jhih Shih et al.
- Think Just Enough: Leveraging Self-Assessed Confidence for Adaptive Reasoning in Language Models ↗Junyeob Kim, Sang-goo Lee, Taeuk Kim
- Think Less, Know More: State-Aware Reasoning Compression with Knowledge Guidance for Efficient Reasoning ↗Yi Sui, Chaozhuo Li, Dawei Song
- Think Outside the Policy: In-Context Steered Policy Optimization ↗Hsiu-Yuan Huang, Chenming Tang, Weijie Liu et al.
- Think Smart, Not Hard: Difficulty Adaptive Reasoning for Large Audio Language Models ↗Zhichao Sheng, Shilin Zhou, Chen Gong et al.
- ThinkBrake: Efficient Reasoning via Log-Probability Margin Guided Decoding ↗Sangjun Song, Minjae Oh, Seungkyu Lee et al.
- ThinkLinker: From Low-Rank Interaction to Knowledge-Aware Verification for Multimodal Entity Linking ↗Yingyao Ma, Yuanyuan Zhou, Congyu Zhang et al.
- ThinkPilot: Steering Reasoning Models via Automated Think-prefixes Optimization ↗Sunzhu Li, Zhiyu Lin, Jiale Zhao et al.
- Thinking Beyond the Local: Multi-View Instructed Adaptive Reasoning in KG-Enhanced LLMs ↗Minghan Zhang, Shu Zhao, Zhen Yang et al.
- Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs ↗Yubo Gao, Haotian Wu, Hong Chen et al.
- Thinking Like a Botanist: Challenging Multimodal Language Models with Intent Driven Chain-of-Inquiry ↗Syed Nazmus Sakib, Nafiul Haque, Shahrear Bin Amin et al.
- Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models ↗Michael R. Metel, Yufei Cui, Boxing Chen et al.
- Thinking Traps in Long Chain-of-Thought: A Measurable Study and Trap-Aware Adaptive Restart ↗Chenkang, Fan Yu, Junjie Nian et al.
- Thinking Twice Makes Large Language Models Safer and More Helpful ↗Yutao Mou, Yuxiao Luo, Shikun Zhang et al.
- Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization ↗Yuxiang Ji, Yong Wang, Ziyu Ma et al.
- Thought-Action Graph Reasoning: Faithful and Efficient Reasoning of Large Language Models via Reusing Past Experience ↗Zhixiao Qi, Feng Huang, Yunqi Zhang et al.
- Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers ↗Nguyen Viet Anh, Shiqian Zhao, Gia Dao et al.
- Thunder-KoNUBench: A Corpus-Aligned Benchmark for Korean Negation Understanding ↗Sungmok Jung, Yeonkyoung So, Joonhak Lee et al.
- TiMem: Temporal-Hierarchical Memory Consolidation for Long-Horizon Conversational Agents ↗Kai Li, Xuanqing Yu, Ziyi Ni et al.
- Time-for-Accuracy: Formalizing Chain-of-Thought as an Expansion of Logical DepthYue Wang, Zhi Zhang, Wang Xi et al.our summary
- Timesteps of Mamba Align with Human Reading Times ↗Yuji Yamamoto, Shinnosuke Isono, Yoshinobu Kawahara et al.
- TinyAlign: Boosting Lightweight Vision-Language Models by Mitigating Modal Alignment Bottlenecks ↗Yuanze Hu, Xinyu Wang, Zhichao Yang et al.
- TinyAttack: Exploring Stylistic Vulnerabilities in Large Language Models ↗Mamta Mamta, Bogdan Grecu, Oana Cocarascu
- To Diff or Not to Diff? Structure-Aware and Adaptive Output Formats for Efficient LLM-based Code Editing ↗Wei Cheng, Yongchang Cao, Chen Shen et al.
- To Intervene or Not: Guiding Inference-time Alignment with Probabilistic Model Blending ↗Jin Gan, Xin Li, Jun Luo
- ToM-Synth: Scaling Robust Theory of Mind in LLMs via 6,912 Structured Social Units ↗Guiyang Hou, Xiang Huang, Shangke Lyu et al.
- ToMELP: A Theory-of-Mind Benchmark for Route-Controlled Persuasion under the Elaboration Likelihood Model ↗Ruirui Wang, Haoran Zhang, Tian Lan et al.
- Token-Level Precise Attack on RAG: Searching for the Best Alternatives to Mislead Generation ↗Zizhong Li, Haopeng Zhang, Jiawei Zhang
- Token-Wise Kernels (TWiKers) for Vicinity-Aware Attention in Transformers ↗Kuangdai Leng, Jia Bi, Samuel Pinilla et al.
- Token-level Inference-Time Alignment for Vision-Language Models ↗Kejia Chen, Junjun Zheng, Jiawen Zhang et al.
- TokenPenalty: Alleviating Attention Sinks and Positional Decay in LVLMs ↗Xiaofeng Zhang, Yuanchao Zhu, Qiyan Zhao et al.
- Too Fast, Too Shallow – LLMs, Including Reasoning LLMs, Are Unreliable Constitutional Reasoners ↗Reto Gubelmann, Peter Hongler
- Too Good to be Bad: On the Failure of LLMs to Role-Play Villains ↗Zihao Yi, Qingxuan Jiang, Ruotian Ma et al.
- ToolCPT: Improving Tool Utilization in LLM Agents via Continuous Pre-training ↗Yifan Yang, Jinghui Lu, Evadeng et al.
- ToolDNA: Autonomous Evolution of Tool Metadata for Robust Dialogue Agents ↗Qiuyuan Ai, Cong Wang, Jiaqi Zhang et al.
- ToolGrad: Efficient Tool-use Dataset Generation with Textual “Gradients” ↗Zhongyi Zhou, Kohei Uehara, Haoyu Zhang et al.
- ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents ↗Dawei Li, Yuguang Yao, Zhen Tan et al.
- ToolRM: Towards Agentic Tool-Use Reward Modeling ↗Renhao Li, Jianhong Tu, Yang Su et al.
- ToolScope: An Agentic Framework for Vision-Guided and Long-Horizon Tool Use ↗Mengjie Deng, Guanting Dong, Zhicheng Dou
- Topic-Based Watermarks for Large Language Models ↗Alexander Nemecek, Yuzhou Jiang, Erman Ayday
- TopoRAG: Graph-based RAG via Topology-aware Approximate Nearest Neighbor Search ↗Tianhao Wu, Siqiang Luo
- TopoSHIELD: Reshaping the Flow of Malice via Spatio-Temporal Risk-Aware Topological Evolution in Multi-Agent Systems ↗Ruiyang Huang, Chenxi Wang, Tinghe Zhang et al.
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