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# Findings of the Association for Computational Linguistics 2026: all accepted papers

2,517 papers · page 23 of 26 · the most cited first · [← Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

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2201. **[TRACE: Two-Phase RL for Causal Graph Exploration and Deeper Psychological Intervention in Dynamic Counseling Scenarios ↗](https://aclanthology.org/2026.findings-acl.1711/)**Shilin Tang, Zunyi Yin, Xuefeng Liang et al.
2202. **[TRM-Planner: Offline Target Planning and Distillation for Tiny Recursive Models ↗](https://aclanthology.org/2026.findings-acl.1350/)**Euijin Baek, Housam Babiker, Mi-Young Kim et al.
2203. **[TRUST: Towards Robust Social Bot Detection via Uncertainty-Guided Pseudo-Labeling and Graph Structure Purification ↗](https://aclanthology.org/2026.findings-acl.1575/)**Ruixuan Xu, Mengting Hu, Zhunheng Wang et al.
2204. **[TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy Optimization ↗](https://aclanthology.org/2026.findings-acl.1428/)**Shichao Ma, Zhiyuan Ma, Ming Yang et al.
2205. **[TTVS: Boosting Self-Exploring Reinforcement Learning via Test-time Variational Synthesis ↗](https://aclanthology.org/2026.findings-acl.1634/)**Sikai Bai, Haoxi Li, Jie Zhang et al.
2206. **[TURTLEAI: Benchmarking Multimodal Models for Visual Programming in Turtle Graphics ↗](https://aclanthology.org/2026.findings-acl.334/)**Chao Wen, Jacqueline Staub, Adish Singla
2207. **[TVWorld: Foundations for Remote-Control TV Agents ↗](https://aclanthology.org/2026.findings-acl.1792/)**Zhantao Ma, Quanfeng Lu, Shuai Zhong et al.
2208. **[Table-R1: Region-based Reinforcement Learning for Table Understanding ↗](https://aclanthology.org/2026.findings-acl.1364/)**Zhenhe Wu, Jian Yang, Zhongjiang He et al.
2209. **[Table-as-Search: Agentic Information Seeking is Table Completion ↗](https://aclanthology.org/2026.findings-acl.743/)**Tian Lan, Felix Henry, Bin Zhu et al.
2210. **[TableVista: Benchmarking Multimodal Table Reasoning under Visual and Structural Complexity ↗](https://aclanthology.org/2026.findings-acl.1745/)**Zheyuan Yang, Liqiang Shang, Junjie Chen et al.
2211. **[TabularMath: Understanding Math Reasoning over Tables with Large Language Models ↗](https://aclanthology.org/2026.findings-acl.759/)**Shi-Yu Tian, Zhi Zhou, Wei Dong et al.
2212. **[Take Out Your Calculators: Estimating the Real Difficulty of Question Items with LLM Student Simulations ↗](https://aclanthology.org/2026.findings-acl.1807/)**Christabel Acquaye, Yi Ting Huang, Marine Carpuat et al.
2213. **[Talent or Luck? Evaluating Attribution Bias in Large Language Models ↗](https://aclanthology.org/2026.findings-acl.534/)**Chahat Raj, Mahika Banerjee, Jinhao Pan et al.
2214. **[Talk to Your Slides: High-Efficiency Slide Editing via Language-Driven Structured Data Manipulation ↗](https://aclanthology.org/2026.findings-acl.166/)**Kyudan Jung, Hojun Cho, Jooyeol Yun et al.
2215. **[Tandem: Riding Together with Large and Small Language Models for Efficient Reasoning ↗](https://aclanthology.org/2026.findings-acl.2098/)**Zichuan Fu, Xian Wu, Guojing Li et al.
2216. **[Targeted Exploration via Unified Entropy Control for Reinforcement Learning ↗](https://aclanthology.org/2026.findings-acl.828/)**Chen Wang, Lai Wei, Yanzhi Zhang et al.
2217. **[Targeting the Needle, Ignoring the Haystack: Anchoring Crucial Cues for Evolving Scam Call Detection via an LLM-Assisted Classifier ↗](https://aclanthology.org/2026.findings-acl.1025/)**Tong Wu, Qinliang Su, Jianxing Yu et al.
2218. **[Task Matters: Knowledge Requirements Shape LLM Responses to Context–Memory Conflict ↗](https://aclanthology.org/2026.findings-acl.202/)**Kaiser Sun, Fan Bai, Mark Dredze
2219. **[Task-Related In-Context Learning ↗](https://aclanthology.org/2026.findings-acl.2154/)**Wenqiang Wang, Peng Chen, Yan Xiao et al.
2220. **[Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models ↗](https://aclanthology.org/2026.findings-acl.1165/)**Chenxi Zhou, Pengfei Cao, Jiang Li et al.
2221. **[Task-aware Block Pruning with Output Distribution Signals for Large Language Models ↗](https://aclanthology.org/2026.findings-eacl.320/)**Song-ha Jo, Youngrok Ko, Sang-goo Lee et al.
2222. **[Teaching Language Models to Forecast Research Success Through Comparative Idea Evaluation ↗](https://aclanthology.org/2026.findings-acl.1918/)**Srujan P Mule, Aniketh Garikaparthi, Manasi Patwardhan
2223. **[Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pretrained Models ↗](https://aclanthology.org/2026.findings-eacl.341/)**Taido Purason, Pavel Chizhov, Ivan P. Yamshchikov et al.
2224. **[Telling Speculative Stories to Help Humans Imagine the Harms of Healthcare AI ↗](https://aclanthology.org/2026.findings-acl.413/)**Xingmeng Zhao, Tongnian Wang, Dan Schumacher et al.
2225. **[TempTool-R1: Tool-Augmented Reinforcement Learning for Temporal Knowledge Graph Question Answering ↗](https://aclanthology.org/2026.findings-acl.797/)**Zicheng Huang, Yajuan Tong, Xinhui Tu et al.
2226. **[Temporal Contrastive Decoding: A Training-Free Method for Large Audio-Language Models ↗](https://aclanthology.org/2026.findings-acl.733/)**Yanda Li, Yuhan Liu, Zirui Song et al.
2227. **[Temporal Flattening in LLM-Generated Text: Comparing Human and LLM Writing Trajectories ↗](https://aclanthology.org/2026.findings-acl.682/)**Zhanwei Cao, YeoJin Go, Yifan Hu et al.
2228. **[Temporal Token Matters: Investigating and Interpreting the Consistency of Temporal Ordering in Large Language Models ↗](https://aclanthology.org/2026.findings-acl.123/)**Zhen Yang, Xinyue Zhang, Ping Jian et al.
2229. **[Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and Reasoning ↗](https://aclanthology.org/2026.findings-acl.383/)**Cong Wan, Ying He, Zhongzhan Huang et al.
2230. **[Testing Low-Resource Language Support in LLMs Using Language Proficiency Exams: the Case of Luxembourgish ↗](https://aclanthology.org/2026.findings-eacl.128/)**Cedric Lothritz, Jordi Cabot, Laura Bernardy
2231. **[Text Embedding as Treatment: A Meta Causal Approach for Robust Sentiment Classification ↗](https://aclanthology.org/2026.findings-acl.2055/)**Fengxiang Cheng, Chuan Zhou, Xiang Li et al.
2232. **[Text-to-TrajVis: Enabling Trajectory Data Visualizations from Natural Language Questions ↗](https://aclanthology.org/2026.findings-acl.972/)**Tian Bai, Huiyan Ying, Kailong Suo et al.
2233. **[Text2Mem: A Unified Memory Operation Language for Memory Operating System ↗](https://aclanthology.org/2026.findings-acl.100/)**Leo Wang, Lihai Yang, Boyu Chen et al.
2234. **[TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine Action ↗](https://aclanthology.org/2026.findings-eacl.130/)**Chenyue Zhou, Gürkan Solmaz, Flavio Cirillo et al.
2235. **[The Adaptive Interrogator: Detecting Trojan LLMs in Multi-Agent Systems via Evolved Conversational Strategies ↗](https://aclanthology.org/2026.findings-acl.1348/)**Rana Muhammad Shahroz Khan, Ruichen Zhang, Zhen Tan et al.
2236. **[The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios ↗](https://aclanthology.org/2026.findings-acl.1505/)**Daocheng Fu, Jianbiao Mei, Rong Wu et al.
2237. **[The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training ↗](https://aclanthology.org/2026.findings-acl.164/)**Rui Zhang, Hongwei Li, Yun Shen et al.
2238. **[The Best of Both Worlds: Combining Parallel and Sequential Inference Scaling via Aggregation Fine-Tuning ↗](https://aclanthology.org/2026.findings-acl.1568/)**Yafu Li, Zhilin Wang, Tingchen Fu et al.
2239. **[The Confidence Paradox: Unveiling the Latent Discriminative Power of Diffusion Large Language Models in Mathematical Reasoning ↗](https://aclanthology.org/2026.findings-acl.2142/)**Yansi Li, Gongshen Liu, Zhuosheng Zhang
2240. **[The Correlation Between Emotion in Text and Speech Segments is Limited: A Cross-Modal Study ↗](https://aclanthology.org/2026.findings-eacl.136/)**David Lindevelt, Suzan Verberne, Joost Broekens
2241. **[The Curse of Verbalization: How Presentation Order Constrains LLM Reasoning ↗](https://aclanthology.org/2026.findings-eacl.218/)**Yue Zhou, Henry Peng Zou, Barbara Di Eugenio et al.
2242. **[The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning ↗](https://aclanthology.org/2026.findings-eacl.98/)**Mingkai Tian, Guorong Li, Yuankai Qi et al.
2243. **[The Double Bind: Revisiting Preprinting and Peer Review Two Years After the Removal of the ACL Anonymity Period ↗](https://aclanthology.org/2026.findings-acl.222/)**A Pranav, Shane Storks, Anne Lauscher
2244. **[The Illusion of Insight in Reasoning Models ↗](https://aclanthology.org/2026.findings-acl.47/)**Liv G. d'Aliberti, Manoel Horta Ribeiro
2245. **[The Impact of Off-Policy Training Data on Probe Generalisation ↗](https://aclanthology.org/2026.findings-acl.1139/)**Adrians Skapars, Nathalie Maria Kirch, Samuel Dower et al.
2246. **[The Inner Monologue of Language Models: When Reasoning Traces Reveal More Than They Hide ↗](https://aclanthology.org/2026.findings-acl.2078/)**Pratham Singla, Shivank Garg, Ayush Singh et al.
2247. **[The Learnability of Model-Theoretic Interpretation Functions in Artificial Neural Networks ↗](https://aclanthology.org/2026.findings-acl.531/)**Adrian Brasoveanu, Jakub Dotlacil
2248. **[The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM Watermarks](https://md.research.elamur.ai/free/en/papers/zhao-2026-mark-fades-adaptive-evolutionary-paraphrase/)**Yusheng Zhao, Jian Zhao, Tianle Zhang et al.*our summary*
2249. **[The Mechanics of Interference: Defusing Distractors in RAG via Sparse Autoencoder Interventions ↗](https://aclanthology.org/2026.findings-acl.583/)**Christian Giannetti, Giovanni Trappolini, Nicola Tonellotto et al.
2250. **[The Mediomatix Corpus: Parallel Data for Romansh Language Varieties via Comparable Schoolbooks ↗](https://aclanthology.org/2026.findings-eacl.16/)**Zachary Hopton, Jannis Vamvas, Andrin Büchler et al.
2251. **[The Model Agreed, But Didn't Learn: Diagnosing Surface Compliance in Large Language Models ↗](https://aclanthology.org/2026.findings-acl.119/)**Xiaojie Gu, Ziying Huang, Weicong Hong et al.
2252. **[The Overlooked Role of Graded Relevance Thresholds in Multilingual Dense Retrieval ↗](https://aclanthology.org/2026.findings-acl.382/)**Tomer Wullach, Ori Shapira, Amir David Nissan Cohen
2253. **[The Price of Thought: A Multilingual Analysis of Reasoning, Performance, and Cost of Negotiation in Large Language Models ↗](https://aclanthology.org/2026.findings-eacl.27/)**Sherzod Hakimov, Roland Bernard, Tim Leiber et al.
2254. **[The Sonar Moment: An Audio Geo-Localization Benchmark for Audio-Language Models ↗](https://aclanthology.org/2026.findings-acl.1297/)**Ruixing Zhang, Zihan Liu, Leilei Sun et al.
2255. **[The Thin Line Between Comprehension and Persuasion in LLMs ↗](https://aclanthology.org/2026.findings-acl.329/)**Adrian de Wynter, Tangming Yuan
2256. **[TheraAgent: Self-Improving Therapeutic Agent for Precise and Comprehensive Treatment Planning ↗](https://aclanthology.org/2026.findings-acl.1490/)**Junkai Li, Yunghwei Lai, Tianyi Zhu et al.
2257. **[Think Before you Write: QA-Guided Reasoning for Character Descriptions in Books ↗](https://aclanthology.org/2026.findings-acl.1259/)**Argyrios Papoudakis, Mirella Lapata, Frank Keller
2258. **[Think Earlier, Not Longer: Prompt Optimization via Reducing Unhealthy Exploration ↗](https://aclanthology.org/2026.findings-acl.817/)**Ling-I Wu, Minyu Chen, Jingyang Li et al.
2259. **[Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time Compute ↗](https://aclanthology.org/2026.findings-eacl.315/)**Hyewon Suh, Chaojian Li, Cheng-Jhih Shih et al.
2260. **[Think Just Enough: Leveraging Self-Assessed Confidence for Adaptive Reasoning in Language Models ↗](https://aclanthology.org/2026.findings-eacl.263/)**Junyeob Kim, Sang-goo Lee, Taeuk Kim
2261. **[Think Less, Know More: State-Aware Reasoning Compression with Knowledge Guidance for Efficient Reasoning ↗](https://aclanthology.org/2026.findings-acl.1128/)**Yi Sui, Chaozhuo Li, Dawei Song
2262. **[Think Outside the Policy: In-Context Steered Policy Optimization ↗](https://aclanthology.org/2026.findings-acl.132/)**Hsiu-Yuan Huang, Chenming Tang, Weijie Liu et al.
2263. **[Think Smart, Not Hard: Difficulty Adaptive Reasoning for Large Audio Language Models ↗](https://aclanthology.org/2026.findings-acl.1640/)**Zhichao Sheng, Shilin Zhou, Chen Gong et al.
2264. **[ThinkBrake: Efficient Reasoning via Log-Probability Margin Guided Decoding ↗](https://aclanthology.org/2026.findings-acl.1095/)**Sangjun Song, Minjae Oh, Seungkyu Lee et al.
2265. **[ThinkLinker: From Low-Rank Interaction to Knowledge-Aware Verification for Multimodal Entity Linking ↗](https://aclanthology.org/2026.findings-acl.1248/)**Yingyao Ma, Yuanyuan Zhou, Congyu Zhang et al.
2266. **[ThinkPilot: Steering Reasoning Models via Automated Think-prefixes Optimization ↗](https://aclanthology.org/2026.findings-eacl.185/)**Sunzhu Li, Zhiyu Lin, Jiale Zhao et al.
2267. **[Thinking Beyond the Local: Multi-View Instructed Adaptive Reasoning in KG-Enhanced LLMs ↗](https://aclanthology.org/2026.findings-eacl.325/)**Minghan Zhang, Shu Zhao, Zhen Yang et al.
2268. **[Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs ↗](https://aclanthology.org/2026.findings-acl.1965/)**Yubo Gao, Haotian Wu, Hong Chen et al.
2269. **[Thinking Like a Botanist: Challenging Multimodal Language Models with Intent Driven Chain-of-Inquiry ↗](https://aclanthology.org/2026.findings-acl.1741/)**Syed Nazmus Sakib, Nafiul Haque, Shahrear Bin Amin et al.
2270. **[Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models ↗](https://aclanthology.org/2026.findings-eacl.153/)**Michael R. Metel, Yufei Cui, Boxing Chen et al.
2271. **[Thinking Traps in Long Chain-of-Thought: A Measurable Study and Trap-Aware Adaptive Restart ↗](https://aclanthology.org/2026.findings-acl.1930/)**Chenkang, Fan Yu, Junjie Nian et al.
2272. **[Thinking Twice Makes Large Language Models Safer and More Helpful ↗](https://aclanthology.org/2026.findings-acl.1812/)**Yutao Mou, Yuxiao Luo, Shikun Zhang et al.
2273. **[Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization ↗](https://aclanthology.org/2026.findings-acl.894/)**Yuxiang Ji, Yong Wang, Ziyu Ma et al.
2274. **[Thought-Action Graph Reasoning: Faithful and Efficient Reasoning of Large Language Models via Reusing Past Experience ↗](https://aclanthology.org/2026.findings-acl.1572/)**Zhixiao Qi, Feng Huang, Yunqi Zhang et al.
2275. **[Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers ↗](https://aclanthology.org/2026.findings-acl.355/)**Nguyen Viet Anh, Shiqian Zhao, Gia Dao et al.
2276. **[Thunder-KoNUBench: A Corpus-Aligned Benchmark for Korean Negation Understanding ↗](https://aclanthology.org/2026.findings-acl.324/)**Sungmok Jung, Yeonkyoung So, Joonhak Lee et al.
2277. **[TiMem: Temporal-Hierarchical Memory Consolidation for Long-Horizon Conversational Agents ↗](https://aclanthology.org/2026.findings-acl.1091/)**Kai Li, Xuanqing Yu, Ziyi Ni et al.
2278. **[Time-for-Accuracy: Formalizing Chain-of-Thought as an Expansion of Logical Depth](https://md.research.elamur.ai/free/en/papers/wang-2026-time-accuracy-formalizing-chain-thought/)**Yue Wang, Zhi Zhang, Wang Xi et al.*our summary*
2279. **[Timesteps of Mamba Align with Human Reading Times ↗](https://aclanthology.org/2026.findings-acl.1592/)**Yuji Yamamoto, Shinnosuke Isono, Yoshinobu Kawahara et al.
2280. **[TinyAlign: Boosting Lightweight Vision-Language Models by Mitigating Modal Alignment Bottlenecks ↗](https://aclanthology.org/2026.findings-acl.223/)**Yuanze Hu, Xinyu Wang, Zhichao Yang et al.
2281. **[TinyAttack: Exploring Stylistic Vulnerabilities in Large Language Models ↗](https://aclanthology.org/2026.findings-acl.1987/)**Mamta Mamta, Bogdan Grecu, Oana Cocarascu
2282. **[To Diff or Not to Diff? Structure-Aware and Adaptive Output Formats for Efficient LLM-based Code Editing ↗](https://aclanthology.org/2026.findings-acl.1483/)**Wei Cheng, Yongchang Cao, Chen Shen et al.
2283. **[To Intervene or Not: Guiding Inference-time Alignment with Probabilistic Model Blending ↗](https://aclanthology.org/2026.findings-acl.847/)**Jin Gan, Xin Li, Jun Luo
2284. **[ToM-Synth: Scaling Robust Theory of Mind in LLMs via 6,912 Structured Social Units ↗](https://aclanthology.org/2026.findings-acl.2113/)**Guiyang Hou, Xiang Huang, Shangke Lyu et al.
2285. **[ToMELP: A Theory-of-Mind Benchmark for Route-Controlled Persuasion under the Elaboration Likelihood Model ↗](https://aclanthology.org/2026.findings-acl.1072/)**Ruirui Wang, Haoran Zhang, Tian Lan et al.
2286. **[Token-Level Precise Attack on RAG: Searching for the Best Alternatives to Mislead Generation ↗](https://aclanthology.org/2026.findings-eacl.167/)**Zizhong Li, Haopeng Zhang, Jiawei Zhang
2287. **[Token-Wise Kernels (TWiKers) for Vicinity-Aware Attention in Transformers ↗](https://aclanthology.org/2026.findings-eacl.306/)**Kuangdai Leng, Jia Bi, Samuel Pinilla et al.
2288. **[Token-level Inference-Time Alignment for Vision-Language Models ↗](https://aclanthology.org/2026.findings-acl.1253/)**Kejia Chen, Junjun Zheng, Jiawen Zhang et al.
2289. **[TokenPenalty: Alleviating Attention Sinks and Positional Decay in LVLMs ↗](https://aclanthology.org/2026.findings-acl.628/)**Xiaofeng Zhang, Yuanchao Zhu, Qiyan Zhao et al.
2290. **[Too Fast, Too Shallow – LLMs, Including Reasoning LLMs, Are Unreliable Constitutional Reasoners ↗](https://aclanthology.org/2026.findings-acl.2016/)**Reto Gubelmann, Peter Hongler
2291. **[Too Good to be Bad: On the Failure of LLMs to Role-Play Villains ↗](https://aclanthology.org/2026.findings-acl.282/)**Zihao Yi, Qingxuan Jiang, Ruotian Ma et al.
2292. **[ToolCPT: Improving Tool Utilization in LLM Agents via Continuous Pre-training ↗](https://aclanthology.org/2026.findings-acl.776/)**Yifan Yang, Jinghui Lu, Evadeng et al.
2293. **[ToolDNA: Autonomous Evolution of Tool Metadata for Robust Dialogue Agents ↗](https://aclanthology.org/2026.findings-acl.931/)**Qiuyuan Ai, Cong Wang, Jiaqi Zhang et al.
2294. **[ToolGrad: Efficient Tool-use Dataset Generation with Textual “Gradients” ↗](https://aclanthology.org/2026.findings-acl.950/)**Zhongyi Zhou, Kohei Uehara, Haoyu Zhang et al.
2295. **[ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents ↗](https://aclanthology.org/2026.findings-acl.602/)**Dawei Li, Yuguang Yao, Zhen Tan et al.
2296. **[ToolRM: Towards Agentic Tool-Use Reward Modeling ↗](https://aclanthology.org/2026.findings-acl.419/)**Renhao Li, Jianhong Tu, Yang Su et al.
2297. **[ToolScope: An Agentic Framework for Vision-Guided and Long-Horizon Tool Use ↗](https://aclanthology.org/2026.findings-acl.11/)**Mengjie Deng, Guanting Dong, Zhicheng Dou
2298. **[Topic-Based Watermarks for Large Language Models ↗](https://aclanthology.org/2026.findings-acl.1220/)**Alexander Nemecek, Yuzhou Jiang, Erman Ayday
2299. **[TopoRAG: Graph-based RAG via Topology-aware Approximate Nearest Neighbor Search ↗](https://aclanthology.org/2026.findings-acl.1703/)**Tianhao Wu, Siqiang Luo
2300. **[TopoSHIELD: Reshaping the Flow of Malice via Spatio-Temporal Risk-Aware Topological Evolution in Multi-Agent Systems ↗](https://aclanthology.org/2026.findings-acl.426/)**Ruiyang Huang, Chenxi Wang, Tinghe Zhang et al.

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