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title: "Transactions of the Association for Computational"
description: "Transactions of the Association for Computational Linguistics (TACL) 2026 — papers: 6 papers in the Elamur Research library, with our…"
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# Transactions of the Association for Computational Linguistics (TACL) 2026 — papers

The works of Transactions of the Association for Computational Linguistics (TACL) published in 2026 that our library holds (publisher: The MIT Press): 6 works, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**105** works that year](#all) · [**6** works in our library](https://md.research.elamur.ai/free/en/venues/tacl/2026/#works) · [**79** citations of these works](https://md.research.elamur.ai/free/en/venues/tacl/2026/#works)

## All works of the year (105)

The most cited first; 6 with our summary link to their page here, the others to the original.

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.

[See all 105 papers in Transactions of the Association for Computational Linguistics (TACL) 2026 — papers →](https://md.research.elamur.ai/free/en/venues/tacl/2026/papers/)

## Works with our summary in our library (6)

The most cited first (OpenAlex citations plus our library's).

1. **[VoiceBench: Benchmarking LLM-Based Voice Assistants](https://md.research.elamur.ai/free/en/papers/chen-2026-voicebench-benchmarking-llm-based-voice/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yiming Chen, Xianghu Yue, Chen Zhang, et al.*2026 · 70 citations*
2. **[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/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Miguel Moura Ramos, Tomás Almeida, Daniel Vareta, et al.*2026 · 7 citations*
3. **[CorefInst: Leveraging LLMs for Multilingual Coreference Resolution](https://md.research.elamur.ai/free/en/papers/arslan-2026-corefinst-leveraging-llms-multilingual-coreference/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tuğba Pamay Arslan, Emircan Erol, Gülşen Eryiğit*2026 · 1 citation*
4. **[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/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Abishek Thamma, Micha Heilbron*2026 · 1 citation*
5. **[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/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Kai Nakaishi, Ryo Yoshida, Kohei Kajikawa, et al.*2026*
6. **[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/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Rodrigo Wilkens, Rémi Cardon, Vincent Folny, et al.*2026*

## Top topics

Topics of its works in our library, with the number of works on each.

[Coreference resolution (1)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Machine translation (1)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Speech & spoken language (1)](https://md.research.elamur.ai/free/en/topics/speech/) · [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Psycholinguistics & language acquisition (1)](https://md.research.elamur.ai/free/en/topics/psycholinguistics/) · [Grammatical error correction & learner language (1)](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) · [French (1)](https://md.research.elamur.ai/free/en/topics/french/)

## Fields

[Arts and Humanities (6)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (6)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Psychology (2)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Neuroscience (1)](https://md.research.elamur.ai/free/en/shelves/neuroscience/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Chen Zhang**1 work here · 70 citations](https://md.research.elamur.ai/free/en/authors/chen-zhang/) · [🧑‍🔬**Haizhou Li**1 work here · 70 citations](https://md.research.elamur.ai/free/en/authors/haizhou-li/) · [🧑‍🔬**André F. T. Martins**1 work here · 7 citations](https://md.research.elamur.ai/free/en/authors/andre-f-t-martins/) · [🧑‍🔬**Patrick Fernandes**1 work here · 7 citations](https://md.research.elamur.ai/free/en/authors/patrick-fernandes/) · [🧑‍🔬**Sweta Agrawal**1 work here · 7 citations](https://md.research.elamur.ai/free/en/authors/sweta-agrawal/) · [🧑‍🔬**Gülşen Eryiğit**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/gulsen-eryigit/) · [🧑‍🔬**Rodrigo Wilkens**1 work here](https://md.research.elamur.ai/free/en/authors/rodrigo-wilkens/) · [🧑‍🔬**Ryo Yoshida**1 work here](https://md.research.elamur.ai/free/en/authors/ryo-yoshida/) · [🧑‍🔬**Thomas François**1 work here](https://md.research.elamur.ai/free/en/authors/thomas-francois/) · [🧑‍🔬**Yohei Oseki**1 work here](https://md.research.elamur.ai/free/en/authors/yohei-oseki/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🏛️**Agency for Science, Technology and Research** Singapore · Singapore 1 work here](https://md.research.elamur.ai/free/en/government/agency-for-science-technology-and-research/) · [🎓**University of Lisbon** Lisbon · Portugal 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-lisbon/) · [🎓**Tianjin University** Tianjin · China 1 work here](https://md.research.elamur.ai/free/en/universities/tianjin-university/) · [🎓**National University of Singapore** Singapore · Singapore 1 work here](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🎓**Georgetown University** Washington · United States 1 work here](https://md.research.elamur.ai/free/en/universities/georgetown-university/) · [🔬**National Institute of Informatics** Tokyo · Japan 1 work here](https://md.research.elamur.ai/free/en/labs/national-institute-of-informatics/) · [🎓**University of Exeter** Exeter · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-exeter/) · [🔬**Institute for Infocomm Research** Singapore · Singapore 1 work here](https://md.research.elamur.ai/free/en/labs/institute-for-infocomm-research/) · [🔬**Max Planck Institute for Psycholinguistics** Nijmegen · Netherlands 1 work here](https://md.research.elamur.ai/free/en/labs/max-planck-institute-for-psycholinguistics/) · [🎓**Shenzhen Research Institute of Big Data** Shenzhen · China 1 work here](https://md.research.elamur.ai/free/en/universities/shenzhen-research-institute-of-big-data/) · [🔬**RIKEN** Wako · Japan 1 work here](https://md.research.elamur.ai/free/en/labs/riken/) · [🎓**Chinese University of Hong Kong, Shenzhen** Shenzhen · China 1 work here](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong-shenzhen/)

works and citations from OpenAlex and our library.

- [← previous TACL 2025](https://md.research.elamur.ai/free/en/venues/tacl/2025/)
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