Elamur Research⌕
☰
home / venues / TACL / 2026 / papers

TACL 2026: all accepted papers

105 papers · page 1 of 2 · the most cited first · ← TACL 2026

1 2

  1. A Context-aware Framework for Translation-mediated Conversations ↗José Pombal, Sweta Agrawal, Emmanouil Zaranis et al.
  2. Aligned Probing: Relating Toxic Behavior and Model Internals ↗Andreas Waldis, Vagrant Gautam, Anne Lauscher et al.
  3. Automatic Machine Translation Detection Using a Surrogate Multilingual Translation Model ↗Cristian García-Romero, Miquel Esplà-Gomis, Felipe Sánchez-Martínez
  4. CAuSE: Decoding Multimodal Classifiers using Faithful Natural Language Explanation ↗Dibyanayan Bandyopadhyay, Soham Bhattacharjee, Mohammed Hasanuzzaman et al.
  5. CUS-QA: Local-Knowledge-Oriented Open-Ended Question Answering Dataset ↗Jindrich Libovický, Jindrich Helcl, Andrei-Alexandru Manea et al.
  6. Can LLMs Automate Fact-Checking Article Writing? ↗Dhruv Sahnan, David Corney, Irene Larraz et al.
  7. Can Language Models Learn Typologically Implausible Languages? ↗Tianyang Xu, Tatsuki Kuribayashi, Yohei Oseki et al.
  8. Can Large Language Models Generalize Analogy Solving Like Children Can? ↗Claire E. Stevenson, Alexandra Pafford, Han L. J. van der Maas et al.
  9. CorefInst: Leveraging LLMs for Multilingual Coreference ResolutionTuğba Pamay Arslan, Emircan Erol, Gülşen Eryiğitour summary
  10. Data Foundations of Long-Context Language Models: A Survey ↗Zechen Sun, Yuyang Sun, Zhaochen Su et al.
  11. Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking ↗Mubashara Akhtar, Michael Schlichtkrull, Andreas Vlachos
  12. FeedTrans: Enhance Machine Translation via Feedback ↗Zengkui Sun, Jiali Zeng, Jiaan Wang et al.
  13. Fine-Grained Reward Optimization for Machine Translation using Error Severity MappingsMiguel Moura Ramos, Tomás Almeida, Daniel Vareta et al.our summary
  14. Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide ↗Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe et al.
  15. From Belief Entrenchment to Robust Reasoning in LLM Agents ↗Jihwan Oh, Minchan Jeong, Jongwoo Ko et al.
  16. From Benchmarks to Skills: Low-Rank Factors for LLM Evaluation ↗Aviya Maimon, Amir David Nisan Cohen, Gal Vishne et al.
  17. Goal Alignment in LLM-Based User Simulators for Conversational AI ↗Shuhaib Mehri, Xiaocheng Yang, Takyoung Kim et al.
  18. Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs ↗Sara Papi, Javier Garcia Gilabert, Zachary Hopton et al.
  19. Humans and LLMs Diverge on Probabilistic Inferences ↗Gaurav Kamath, Sreenath Madathil, Sebastian Schuster et al.
  20. Lightweight Latent Reasoning for Narrative Tasks ↗Alexander Gurung, Esmeralda S. Whitammer, Mirella Lapata
  21. MERLIN: A Testbed for Multilingual Multimodal Entity Recognition and Linking ↗Sathyanarayanan Ramamoorthy, Vishwa Shah, Simran Khanuja et al.
  22. Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders ↗Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar et al.
  23. ORCA: Open-ended Response Correctness Assessment for Audio Question Answering ↗Šimon Sedláček, Sara Barahona, Cecilia Bolaños et al.
  24. Rethinking the Relationship between the Power Law and Hierarchical StructuresKai Nakaishi, Ryo Yoshida, Kohei Kajikawa et al.our summary
  25. Simulating Hard Attention Using Soft Attention ↗Andy Yang, Lena Strobl, David Chiang et al.
  26. Simulating Sense Extension ↗Rowan Hall Maudslay, Simone Teufel
  27. Text-to-SQL Task-oriented Dialogue Ontology Construction ↗Renato Vukovic, Carel van Niekerk, Michael Heck et al.
  28. Value Drifts: Tracing Value Alignment During LLM Post-Training ↗Mehar Bhatia, Shravan Nayak, Gaurav Kamath et al.

1 2

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/tacl/2026/papers/