---
title: "TACL 2026 — all accepted papers with summaries and citations"
description: "All 105 papers of TACL 2026 · page 1 of 2, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/tacl/2026/papers/"
---
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# TACL 2026: all accepted papers

105 papers · page 1 of 2 · the most cited first · [← TACL 2026](https://md.research.elamur.ai/free/en/venues/tacl/2026/)

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1. **[A Context-aware Framework for Translation-mediated Conversations ↗](https://aclanthology.org/2026.tacl-1.26/)**José Pombal, Sweta Agrawal, Emmanouil Zaranis et al.
2. **[A Survey on Memory-Efficient Fine-Tuning for Large Language Models ↗](https://aclanthology.org/2026.tacl-1.43/)**Yeachan Kim, Mingyu Lee, SangKeun Lee
3. **[A Systematic Assessment of Language Models with Linguistic Minimal Pairs in Chinese ↗](https://aclanthology.org/2026.tacl-1.34/)**Yikang Liu, Yeting Shen, Hongao Zhu et al.
4. **[Accelerating Language Model Workflows with Prompt Choreography ↗](https://aclanthology.org/2026.tacl-1.13/)**TJ Bai, Jason Eisner
5. **[ActiveLLM: Large Language Model-Based Active Learning for Textual Few-Shot Scenarios ↗](https://aclanthology.org/2026.tacl-1.1/)**Markus Bayer, Justin Lutz, Christian Reuter
6. **[Aligned Probing: Relating Toxic Behavior and Model Internals ↗](https://aclanthology.org/2026.tacl-1.14/)**Andreas Waldis, Vagrant Gautam, Anne Lauscher et al.
7. **[Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is Missing ↗](https://aclanthology.org/2026.tacl-1.69/)**Dennis Ulmer, Alexandra Lorson, Ivan Titov et al.
8. **[As Easy as Rocket Science: Assessing the Ability of Large Language Models to Interpret Negation in Figurative Language ↗](https://aclanthology.org/2026.tacl-1.83/)**Jasmine Owers, Edwin Simpson, Martha Lewis
9. **[Automated Essay Scoring and Language Certification: Assessing Generalizability, Agreement and Validity for French](https://md.research.elamur.ai/free/en/papers/wilkens-2026-automated-essay-scoring-language-certification/)**Rodrigo Wilkens, Rémi Cardon, Vincent Folny et al.*our summary*
10. **[Automatic Machine Translation Detection Using a Surrogate Multilingual Translation Model ↗](https://aclanthology.org/2026.tacl-1.55/)**Cristian García-Romero, Miquel Esplà-Gomis, Felipe Sánchez-Martínez
11. **[Automatic Reviewers Fail to Detect Faulty Reasoning in Research Papers: A New Counterfactual Evaluation Framework ↗](https://aclanthology.org/2026.tacl-1.22/)**Nils Dycke, Iryna Gurevych
12. **[BP-LLM: Belief Propagation for Binary Feedback in Large Language Model Alignment ↗](https://aclanthology.org/2026.tacl-1.64/)**Jessica E. Liang
13. **[Beyond Majority Voting: Agreement-Based Clustering to Model Annotator Perspectives in Subjective NLP Tasks ↗](https://aclanthology.org/2026.tacl-1.61/)**Tadesse Destaw Belay, Ibrahim Said Ahmad, Idris Abdulmumin et al.
14. **[Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts ↗](https://aclanthology.org/2026.tacl-1.31/)**Hanhua Hong, Chenghao Xiao, Yang Wang et al.
15. **[Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks ↗](https://aclanthology.org/2026.tacl-1.94/)**Shoumik Saha, Jifan Chen, Sam Mayers et al.
16. **[Bridging Auxiliary Constraints to Resolve Instruction Following in Large Reasoning Models ↗](https://aclanthology.org/2026.tacl-1.60/)**Zhengyi Zhao, Shubo Zhang, Huimin Wang et al.
17. **[CAuSE: Decoding Multimodal Classifiers using Faithful Natural Language Explanation ↗](https://aclanthology.org/2026.tacl-1.37/)**Dibyanayan Bandyopadhyay, Soham Bhattacharjee, Mohammed Hasanuzzaman et al.
18. **[CG-TTRL: Context-Guided Test-Time Reinforcement Learning for On-Device Large Language Models ↗](https://aclanthology.org/2026.tacl-1.85/)**Peyman Hosseini, Ondrej Bohdal, Taha Ceritli et al.
19. **[CONSPIR ED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety ↗](https://aclanthology.org/2026.tacl-1.96/)**Luke Bates, Max Glockner, Preslav Nakov et al.
20. **[CROC: Evaluating and Training T2I Metrics with Pseudo- and Human-Labeled Contrastive Robustness Checks ↗](https://aclanthology.org/2026.tacl-1.50/)**Christoph Leiter, Yuki M. Asano, Margret Keuper et al.
21. **[CURE: Cultural Value-based Reasoning for Enhancing the Cultural Adaptability of Large Language Models ↗](https://aclanthology.org/2026.tacl-1.97/)**Mirae Han, Harksoo Kim
22. **[CUS-QA: Local-Knowledge-Oriented Open-Ended Question Answering Dataset ↗](https://aclanthology.org/2026.tacl-1.67/)**Jindrich Libovický, Jindrich Helcl, Andrei-Alexandru Manea et al.
23. **[Can LLMs Automate Fact-Checking Article Writing? ↗](https://aclanthology.org/2026.tacl-1.23/)**Dhruv Sahnan, David Corney, Irene Larraz et al.
24. **[Can Language Models Learn Typologically Implausible Languages? ↗](https://aclanthology.org/2026.tacl-1.27/)**Tianyang Xu, Tatsuki Kuribayashi, Yohei Oseki et al.
25. **[Can Large Language Models Generalize Analogy Solving Like Children Can? ↗](https://aclanthology.org/2026.tacl-1.28/)**Claire E. Stevenson, Alexandra Pafford, Han L. J. van der Maas et al.
26. **[Citation Failure: Definition, Analysis and Efficient Mitigation ↗](https://aclanthology.org/2026.tacl-1.66/)**Jan Buchmann, Iryna Gurevych
27. **[Common Objects Out of Context (COOCo): Investigating Multimodal Context and Semantic Scene Violations in Referential Communication ↗](https://aclanthology.org/2026.tacl-1.52/)**Filippo Merlo, Ece Takmaz, Wenkai Chen et al.
28. **[CorefInst: Leveraging LLMs for Multilingual Coreference Resolution](https://md.research.elamur.ai/free/en/papers/arslan-2026-corefinst-leveraging-llms-multilingual-coreference/)**Tuğba Pamay Arslan, Emircan Erol, Gülşen Eryiğit*our summary*
29. **[Cross-layer Attention Sharing for Pre-trained Large Language Models ↗](https://aclanthology.org/2026.tacl-1.30/)**Yongyu Mu, Yuzhang Wu, Yuchun Fan et al.
30. **[Data Foundations of Long-Context Language Models: A Survey ↗](https://aclanthology.org/2026.tacl-1.81/)**Zechen Sun, Yuyang Sun, Zhaochen Su et al.
31. **[DeepTrans: Deep Reasoning Translation via Reinforcement Learning ↗](https://aclanthology.org/2026.tacl-1.3/)**Jiaan Wang, Fandong Meng, Jie Zhou
32. **[Dissecting GraphRAG: A Modular Analysis of Knowledge Structuring for Factoid Question Answering ↗](https://aclanthology.org/2026.tacl-1.29/)**Noriki Nishida, Rumana Ferdous Munne, Shanshan Liu et al.
33. **[Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023 ↗](https://aclanthology.org/2026.tacl-1.12/)**Ting-Yao `Edward' Hsu, Yi-Li Hsu, Shaurya Rohatgi et al.
34. **[Early Risk Prediction with Temporally and Contextually Grounded Clinical Language Processing ↗](https://aclanthology.org/2026.tacl-1.78/)**Rochana Chaturvedi, Yue Zhou, Andrew Boyd et al.
35. **[Emergent Communication in Continuous Worlds: Self-Organisation of Conceptually Grounded Vocabularies at Scale ↗](https://aclanthology.org/2026.tacl-1.101/)**Jérôme Botoko Ekila, Lara Verheyen, Jens Nevens et al.
36. **[Erratum: Language Models Can Resolve Reference Compositionally, But It's Not Their Native Strength: The Case of the Personal Relation Task ↗](https://aclanthology.org/2026.tacl-1.105/)**Bart Evelo, Meaghan Fowlie, Denis Paperno
37. **[Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking ↗](https://aclanthology.org/2026.tacl-1.25/)**Mubashara Akhtar, Michael Schlichtkrull, Andreas Vlachos
38. **[FeedTrans: Enhance Machine Translation via Feedback ↗](https://aclanthology.org/2026.tacl-1.86/)**Zengkui Sun, Jiali Zeng, Jiaan Wang et al.
39. **[Fine-Grained Reward Optimization for Machine Translation using Error Severity Mappings](https://md.research.elamur.ai/free/en/papers/ramos-2026-fine-grained-reward-optimization-machine/)**Miguel Moura Ramos, Tomás Almeida, Daniel Vareta et al.*our summary*
40. **[Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide ↗](https://aclanthology.org/2026.tacl-1.17/)**Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe et al.
41. **[Fodor and Pylyshyn's Systematicity Challenge Still Stands ↗](https://aclanthology.org/2026.tacl-1.73/)**Michael Goodale, Salvador Mascarenhas
42. **[From Belief Entrenchment to Robust Reasoning in LLM Agents ↗](https://aclanthology.org/2026.tacl-1.58/)**Jihwan Oh, Minchan Jeong, Jongwoo Ko et al.
43. **[From Benchmarks to Skills: Low-Rank Factors for LLM Evaluation ↗](https://aclanthology.org/2026.tacl-1.75/)**Aviya Maimon, Amir David Nisan Cohen, Gal Vishne et al.
44. **[From Explicit to Implicit: A Theoretical Framework and Transfer Method for Preference Internalization in Language Models ↗](https://aclanthology.org/2026.tacl-1.48/)**Binrui Wang, Yongping Du, Yu Pei et al.
45. **[GTPO: Stabilizing Group Relative Policy Optimization via Gradient and Entropy Control ↗](https://aclanthology.org/2026.tacl-1.102/)**Marco Simoni, Aleksandar Fontana, Giulio Rossolini et al.
46. **[Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning ↗](https://aclanthology.org/2026.tacl-1.90/)**Hanjun Cho, Gahyun Yoo, Hanseong Kim et al.
47. **[Generating Visual Stories with Grounded and Coreferent Characters ↗](https://aclanthology.org/2026.tacl-1.21/)**Danyang Liu, Mirella Lapata, Frank Keller
48. **[Generative Induction of Dialogue Task Schemas with Streaming Refinement and Simulated Interactions ↗](https://aclanthology.org/2026.tacl-1.5/)**James D. Finch, Yasasvi Josyula, Jinho D. Choi
49. **[Goal Alignment in LLM-Based User Simulators for Conversational AI ↗](https://aclanthology.org/2026.tacl-1.38/)**Shuhaib Mehri, Xiaocheng Yang, Takyoung Kim et al.
50. **[Grammatical Error Correction Evaluation by Optimally Transporting Edit Representation ↗](https://aclanthology.org/2026.tacl-1.77/)**Takumi Goto, Yusuke Sakai, Taro Watanabe
51. **[Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs ↗](https://aclanthology.org/2026.tacl-1.89/)**Sara Papi, Javier Garcia Gilabert, Zachary Hopton et al.
52. **[Human-like Fleeting Memory Improves Language Learning but Impairs Reading Time Prediction in Transformer Language Models](https://md.research.elamur.ai/free/en/papers/thamma-2026-human-like-fleeting-memory-improves/)**Abishek Thamma, Micha Heilbron*our summary*
53. **[Humans and LLMs Diverge on Probabilistic Inferences ↗](https://aclanthology.org/2026.tacl-1.93/)**Gaurav Kamath, Sreenath Madathil, Sebastian Schuster et al.
54. **[In Generative AI We (Dis)Trust? Computational Analysis of Trust and Distrust in Reddit Discussions ↗](https://aclanthology.org/2026.tacl-1.74/)**Aria Pessianzadeh, Naima Sultana, Hildegarde Van den Bulck et al.
55. **[In-N-Out: A Parameter-Level API Graph Dataset for Tool Agents ↗](https://aclanthology.org/2026.tacl-1.45/)**Seungkyu Lee, Nalim Kim, Yohan Jo
56. **[Inferring Scientific Cross-Document Coreference and Hierarchy with Definition-Augmented Relational Reasoning ↗](https://aclanthology.org/2026.tacl-1.36/)**Lior Forer, Tom Hope
57. **[IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance ↗](https://aclanthology.org/2026.tacl-1.16/)**Paul Röttger, Musashi Hinck, Valentin Hofmann et al.
58. **[KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning? ↗](https://aclanthology.org/2026.tacl-1.59/)**Soumadeep Saha, Akshay Chaturvedi, Saptarshi Saha et al.
59. **[LLA MADRS: Evaluating Open-Source LLMs on Real Clinical Interviews–-To Reason or Not to Reason? ↗](https://aclanthology.org/2026.tacl-1.71/)**Gaoussou Youssouf Kebe, Jeffrey M. Girard, Einat Liebenthal et al.
60. **[LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations ↗](https://aclanthology.org/2026.tacl-1.76/)**Daniela Gottesman, Alon Gilaie-Dotan, Ido Cohen et al.
61. **[Language Models Can Resolve Reference Compositionally, But It's Not Their Native Strength: The Case of the Personal Relation Task ↗](https://aclanthology.org/2026.tacl-1.72/)**Bart Evelo, Meaghan Fowlie, Denis Paperno
62. **[Learning Speech Representations with Variational Predictive Coding ↗](https://aclanthology.org/2026.tacl-1.68/)**Sung-Lin Yeh, Peter Bell, Hao Tang
63. **[Learning to Optimize Multi-Objective Alignment Through Dynamic Reward Weighting ↗](https://aclanthology.org/2026.tacl-1.47/)**Yining Lu, Zilong Wang, Shiyang Li et al.
64. **[Lightweight Latent Reasoning for Narrative Tasks ↗](https://aclanthology.org/2026.tacl-1.98/)**Alexander Gurung, Esmeralda S. Whitammer, Mirella Lapata
65. **[Literally Concrete or Figuratively Abstract? Multilingual Concreteness Norms for Verb-Object Expressions ↗](https://aclanthology.org/2026.tacl-1.54/)**Urban Knupleš, Diego Frassinelli, Alexander Fraser et al.
66. **[Localizing Factual Inconsistencies in Attributable Text Generation ↗](https://aclanthology.org/2026.tacl-1.6/)**Arie Cattan, Paul Roit, Shiyue Zhang et al.
67. **[MERLIN: A Testbed for Multilingual Multimodal Entity Recognition and Linking ↗](https://aclanthology.org/2026.tacl-1.19/)**Sathyanarayanan Ramamoorthy, Vishwa Shah, Simran Khanuja et al.
68. **[MO-GRPO: Mitigating Reward Hacking of Group Relative Policy Optimization on Multi-Objective Problems ↗](https://aclanthology.org/2026.tacl-1.84/)**Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura et al.
69. **[MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents ↗](https://aclanthology.org/2026.tacl-1.2/)**Tomer Wolfson, Harsh Trivedi, Mor Geva et al.
70. **[Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders ↗](https://aclanthology.org/2026.tacl-1.99/)**Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar et al.
71. **[Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research ↗](https://aclanthology.org/2026.tacl-1.32/)**Molly R. Petersen, Claire E. Stevenson, Lonneke van der Plas
72. **[MultiBLiMP 1.0: A Massively Multilingual Benchmark of Linguistic Minimal Pairs ↗](https://aclanthology.org/2026.tacl-1.10/)**Jaap Jumelet, Leonie Weissweiler, Joakim Nivre et al.
73. **[No Shortcuts to Culture: Indonesian Multi-hop Question Answering for Complex Cultural Understanding ↗](https://aclanthology.org/2026.tacl-1.56/)**Vynska Amalia Permadi, Xingwei Tan, Nafise Sadat Moosavi et al.
74. **[ORCA: Open-ended Response Correctness Assessment for Audio Question Answering ↗](https://aclanthology.org/2026.tacl-1.100/)**Šimon Sedláček, Sara Barahona, Cecilia Bolaños et al.
75. **[On the Limitations of Language-targeted Pruning: Investigating the Calibration Language Impact in Multilingual LLM Pruning ↗](https://aclanthology.org/2026.tacl-1.9/)**Simon Kurz, Jian-Jia Chen, Lucie Flek et al.
76. **[OrthoEdit: Principled and Stable Knowledge Editing via Orthogonal Subspace Projection ↗](https://aclanthology.org/2026.tacl-1.51/)**Shanbao Qiao, Xuebing Liu, Akshat Gupta et al.
77. **[PiKGL: Leveraging Pruned Knowledge Graphs for Explainable Stance Detection ↗](https://aclanthology.org/2026.tacl-1.11/)**Bingbing Wang, Jingjie Lin, Zhixin Bai et al.
78. **[Preferences for Idiomatic Language are Acquired Slowly –- and Forgotten Quickly: A Case Study on Swedish ↗](https://aclanthology.org/2026.tacl-1.57/)**Jenny Kunz
79. **[PsyMem: Fine-grained Psychological Alignment and Explicit Memory Control for Advanced Role-Playing LLMs ↗](https://aclanthology.org/2026.tacl-1.24/)**Xilong Cheng, Yunxiao Qin, Yuting Tan et al.
80. **[Psychometric Item Validation Using Virtual Respondents with Trait-Response Mediators ↗](https://aclanthology.org/2026.tacl-1.63/)**Sungjib Lim, Woojung Song, Eun-Ju Lee et al.
81. **[R ESEARCH QA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and Rubrics ↗](https://aclanthology.org/2026.tacl-1.62/)**Li S. Yifei, Allen Chang, Chaitanya Malaviya et al.
82. **[R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning ↗](https://aclanthology.org/2026.tacl-1.95/)**Minggui He, Yilun Liu, Shimin Tao et al.
83. **[RELIC: Evaluating Complex Reasoning via the Recognition of Languages In-Context ↗](https://aclanthology.org/2026.tacl-1.65/)**Jackson Petty, Michael Y. Hu, Wentao Wang et al.
84. **[Retain or Reframe? A Computational Framework for the Analysis of Framing in News Articles and Reader Comments ↗](https://aclanthology.org/2026.tacl-1.49/)**Matteo Guida, Yulia Otmakhova, Eduard Hovy et al.
85. **[Rethinking the Relationship between the Power Law and Hierarchical Structures](https://md.research.elamur.ai/free/en/papers/nakaishi-2026-rethinking-relationship-between-power-law/)**Kai Nakaishi, Ryo Yoshida, Kohei Kajikawa et al.*our summary*
86. **[Rewriting History: A Recipe for Interventional Analyses to Study Data Effects on Model Behavior ↗](https://aclanthology.org/2026.tacl-1.70/)**Rahul Nadkarni, Yanai Elazar, Hila Gonen et al.
87. **[S HARING B EYOND D ECISION: Deep Collaboration between Large Language Models via Representation Ensemble ↗](https://aclanthology.org/2026.tacl-1.79/)**Yichong Huang, Xiaocheng Feng, Jinlan Fu et al.
88. **[SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation ↗](https://aclanthology.org/2026.tacl-1.35/)**Dennis Fucci, Marco Gaido, Beatrice Savoldi et al.
89. **[STEM TOX: From Collaborative Tags to Fine-Grained Toxic Meme Detection via Entropy-Guided Multi-Task Learning ↗](https://aclanthology.org/2026.tacl-1.103/)**Subhankar Swain, Naquee Rizwan, Vishwa Gangadhar S et al.
90. **[Safety-Potential Pruning for Enhancing Safety Prompts Against VLM Jailbreaking Without Retraining ↗](https://aclanthology.org/2026.tacl-1.53/)**Chongxin Li, Hanzhang Wang, Lian Duan
91. **[Scale Can't Overcome Pragmatics: The Impact of Reporting Bias on Vision-Language Reasoning ↗](https://aclanthology.org/2026.tacl-1.41/)**Amita Kamath, Jack Hessel, Khyathi Chandu et al.
92. **[Self-Consistency Falls Short! The Adverse Effects of Positional Bias on Long-Context Problems ↗](https://aclanthology.org/2026.tacl-1.15/)**Adam Byerly, Daniel Khashabi
93. **[Simulating Hard Attention Using Soft Attention ↗](https://aclanthology.org/2026.tacl-1.8/)**Andy Yang, Lena Strobl, David Chiang et al.
94. **[Simulating Sense Extension ↗](https://aclanthology.org/2026.tacl-1.82/)**Rowan Hall Maudslay, Simone Teufel
95. **[Start Making Sense(s): A Developmental Probe of Attention Specialization Using Lexical Ambiguity ↗](https://aclanthology.org/2026.tacl-1.42/)**Pamela D. Rivière, Sean Trott
96. **[SupraTok: Cross-Boundary Tokenization for Enhanced Language Model Performance ↗](https://aclanthology.org/2026.tacl-1.80/)**Andrei-Valentin Tănase, Elena Pelican
97. **[Text-to-SQL Task-oriented Dialogue Ontology Construction ↗](https://aclanthology.org/2026.tacl-1.40/)**Renato Vukovic, Carel van Niekerk, Michael Heck et al.
98. **[Understanding Benchmark Language Under Weakened Formal Semantics ↗](https://aclanthology.org/2026.tacl-1.91/)**Haoyang Chen, Kumiko Tanaka-Ishii
99. **[Universal Jailbreak Suffixes Are Strong Attention Hijackers ↗](https://aclanthology.org/2026.tacl-1.46/)**Matan Ben-Tov, Mor Geva, Mahmood Sharif
100. **[Value Drifts: Tracing Value Alignment During LLM Post-Training ↗](https://aclanthology.org/2026.tacl-1.92/)**Mehar Bhatia, Shravan Nayak, Gaurav Kamath et al.

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