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# Transactions of the Association for Computational Linguistics (TACL) 2024 — papers

The works of Transactions of the Association for Computational Linguistics (TACL) published in 2024 that our library holds (publisher: The MIT Press): 15 works, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**95** works that year](#all) · [**15** works in our library](https://md.research.elamur.ai/free/en/venues/tacl/2024/#works) · [**2,501** citations of these works](https://md.research.elamur.ai/free/en/venues/tacl/2024/#works)

## Awards

As the ACL Anthology records them.

1. **[Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers ↗](https://aclanthology.org/2024.tacl-1.71/)**Melanie Subbiah, Sean Zhang, Lydia B. Chilton et al. · 🏆 TACL 2024 Best Paper

## All works of the year (95)

The most cited first; 15 with our summary link to their page here, the others to the original.

1. **[A Closer Look at Classification Evaluation Metrics and a Critical Reflection of Common Evaluation Practice ↗](https://aclanthology.org/2024.tacl-1.46/)**Juri Opitz
2. **[A Survey on Model Compression for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2024-survey-model-compression-large-language/)**Xunyu Zhu, Jian Li, Yong Liu et al.*our summary*
3. **[ARN: Analogical Reasoning on Narratives ↗](https://aclanthology.org/2024.tacl-1.59/)**Zhivar Sourati, Filip Ilievski, Pia Sommerauer et al.
4. **[Addressing Topic Leakage in Cross-Topic Evaluation for Authorship Verification ↗](https://aclanthology.org/2024.tacl-1.75/)**Jitkapat Sawatphol, Can Udomcharoenchaikit, Sarana Nutanong
5. **[Addressing the Binning Problem in Calibration Assessment through Scalar Annotations ↗](https://aclanthology.org/2024.tacl-1.7/)**Zhengping Jiang, Anqi Liu, Benjamin Van Durme
6. **[AmbiFC: Fact-Checking Ambiguous Claims with Evidence ↗](https://aclanthology.org/2024.tacl-1.1/)**Max Glockner, Ieva Staliūnaitė, James Thorne et al.
7. **[An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation ↗](https://aclanthology.org/2024.tacl-1.8/)**Cheng Yang, Guoping Huang, Mo Yu et al.
8. **[Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation ↗](https://aclanthology.org/2024.tacl-1.22/)**Lukas Edman, Gabriele Sarti, Antonio Toral et al.
9. **[Are Language Models More Like Libraries or Like Librarians? Bibliotechnism, the Novel Reference Problem, and the Attitudes of LLMs ↗](https://aclanthology.org/2024.tacl-1.60/)**Harvey Lederman, Kyle Mahowald
10. **[Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions?](https://md.research.elamur.ai/free/en/papers/agrawal-2024-assessing-role-context-chat-translation/)**Sweta Agrawal, Amin Farajian, Patrick Fernandes et al.*our summary*
11. **[AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning ↗](https://aclanthology.org/2024.tacl-1.29/)**Han Zhou, Xingchen Wan, Ivan Vulić et al.
12. **[Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies](https://md.research.elamur.ai/free/en/papers/pan-2024-automatically-correcting-large-language-models/)**Liangming Pan, Michael Saxon, Wenda Xu et al.*our summary*
13. **[Benchmarking Large Language Models for News Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2024-benchmarking-large-language-models-news/)**Tianyi Zhang, Faisal Ladhak, Esin Durmus et al.*our summary*
14. **[Beyond Boundaries: A Human-like Approach for Question Answering over Structured and Unstructured Information Sources ↗](https://aclanthology.org/2024.tacl-1.44/)**Jens Lehmann, Dhananjay Bhandiwad, Preetam Gattogi et al.
15. **[Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMs ↗](https://aclanthology.org/2024.tacl-1.76/)**Tanise Ceron, Neele Falk, Ana Barić et al.
16. **[Can Authorship Attribution Models Distinguish Speakers in Speech Transcripts? ↗](https://aclanthology.org/2024.tacl-1.49/)**Cristina Aggazzotti, Nicholas Andrews, Elizabeth Allyn Smith
17. **[Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and Stability ↗](https://aclanthology.org/2024.tacl-1.74/)**Tyler A. Chang, Zhuowen Tu, Benjamin K. Bergen
18. **[Comparing Humans and Large Language Models on an Experimental Protocol Inventory for Theory of Mind Evaluation (EPITOME) ↗](https://aclanthology.org/2024.tacl-1.45/)**Cameron R. Jones, Sean Trott, Benjamin Bergen
19. **[Computational Complexity of Natural Morphology Revisited ↗](https://aclanthology.org/2024.tacl-1.36/)**Hajime Senuma, Akiko Aizawa
20. **[Conformal Prediction for Natural Language Processing: A Survey ↗](https://aclanthology.org/2024.tacl-1.82/)**Margarida Campos, António Farinhas, Chrysoula Zerva et al.
21. **[Conformalizing Machine Translation Evaluation ↗](https://aclanthology.org/2024.tacl-1.80/)**Chrysoula Zerva, André F. T. Martins
22. **[Context-Aware Machine Translation with Source Coreference Explanation ↗](https://aclanthology.org/2024.tacl-1.48/)**Huy Hien Vu, Hidetaka Kamigaito, Taro Watanabe
23. **[ConvoSense: Overcoming Monotonous Commonsense Inferences for Conversational AI ↗](https://aclanthology.org/2024.tacl-1.26/)**Sarah E. Finch, Jinho D. Choi
24. **[CreoleVal: Multilingual Multitask Benchmarks for Creoles ↗](https://aclanthology.org/2024.tacl-1.53/)**Heather Lent, Kushal Tatariya, Raj Dabre et al.
25. **[Cultural Adaptation of Recipes ↗](https://aclanthology.org/2024.tacl-1.5/)**Yong Cao, Yova Kementchedjhieva, Ruixiang Cui et al.

[See all 95 papers in Transactions of the Association for Computational Linguistics (TACL) 2024 — papers →](https://md.research.elamur.ai/free/en/venues/tacl/2024/papers/)

## Works with our summary in our library (15)

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

1. **[Benchmarking Large Language Models for News Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2024-benchmarking-large-language-models-news/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tianyi Zhang, Faisal Ladhak, Esin Durmus, et al.*2024 · 666 citations*
2. **[A Survey on Model Compression for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2024-survey-model-compression-large-language/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Xunyu Zhu, Jian Li, Yong Liu, et al.*2024 · 381 citations*
3. **[xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection](https://md.research.elamur.ai/free/en/papers/guerreiro-2024-xcomet-transparent-machine-translation-evaluation/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nuno M. Guerreiro, Ricardo Rei, Daan van Stigt, et al.*2024 · 333 citations*
4. **[Exploring Human-Like Translation Strategy with Large Language Models](https://md.research.elamur.ai/free/en/papers/he-2024-exploring-human-like-translation-strategy/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zhiwei He, Tian Liang, Wenxiang Jiao, et al.*2024 · 207 citations*
5. **[When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs](https://md.research.elamur.ai/free/en/papers/kamoi-2024-when-can-llms-actually-correct/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ryo Kamoi, Yusen Zhang, Nan Zhang, et al.*2024 · 159 citations*
6. **[Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering](https://md.research.elamur.ai/free/en/papers/adlakha-2024-evaluating-correctness-faithfulness-instruction-following/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu, et al.*2024 · 145 citations*
7. **[Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies](https://md.research.elamur.ai/free/en/papers/pan-2024-automatically-correcting-large-language-models/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Liangming Pan, Michael Saxon, Wenda Xu, et al.*2024 · 140 citations*
8. **[Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design](https://md.research.elamur.ai/free/en/papers/tjuatja-2024-do-llms-exhibit-human-like/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Lindia Tjuatja, Valerie Chen, Tongshuang Wu, et al.*2024 · 136 citations*
9. **[Large Language Models Enable Few-Shot Clustering](https://md.research.elamur.ai/free/en/papers/viswanathan-2024-large-language-models-enable-few/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, et al.*2024 · 109 citations*
10. **[Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions](https://md.research.elamur.ai/free/en/papers/li-2024-eliciting-translation-ability-large-language/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiahuan Li, Hao Zhou, Shujian Huang, et al.*2024 · 99 citations*
11. **[KoBBQ: Korean Bias Benchmark for Question Answering](https://md.research.elamur.ai/free/en/papers/jin-2024-kobbq-korean-bias-benchmark-question/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiho Jin, Jiseon Kim, Nayeon Lee, et al.*2024 · 77 citations*
12. **[Semantics of Multiword Expressions in Transformer-Based Models: A Survey](https://md.research.elamur.ai/free/en/papers/miletic-2024-semantics-multiword-expressions-transformer-based/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Filip Miletić, Sabine Schulte im Walde*2024 · 20 citations*
13. **[The Thai Discourse Treebank: Annotating and Classifying Thai Discourse Connectives](https://md.research.elamur.ai/free/en/papers/prasertsom-2024-thai-discourse-treebank-annotating-classifying/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ponrawee Prasertsom, Apiwat Jaroonpol, Attapol T. Rutherford*2024 · 11 citations*
14. **[How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?](https://md.research.elamur.ai/free/en/papers/srikanth-2024-how-often-are-errors-natural/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Neha Srikanth, Marine Carpuat, Rachel Rudinger*2024 · 10 citations*
15. **[Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions?](https://md.research.elamur.ai/free/en/papers/agrawal-2024-assessing-role-context-chat-translation/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Sweta Agrawal, Amin Farajian, Patrick Fernandes, et al.*2024 · 8 citations*

## Top topics

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

[Language models & pretraining (5)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks (4)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Machine translation (2)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Question answering (2)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Discourse analysis (1)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Treebanks (1)](https://md.research.elamur.ai/free/en/topics/treebanks/) · [Summarization (1)](https://md.research.elamur.ai/free/en/topics/summarization/) · [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Bias, fairness & safety (1)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Efficient models & compression (1)](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Idioms & multiword expressions (1)](https://md.research.elamur.ai/free/en/topics/multiword-expressions/)

## Fields

[Arts and Humanities (15)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (15)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences (3)](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

## Top authors

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

[🧑‍🔬**André F. T. Martins**2 works here · 341 citations](https://md.research.elamur.ai/free/en/authors/andre-f-t-martins/) · [🧑‍🔬**Ricardo Rei**2 works here · 341 citations](https://md.research.elamur.ai/free/en/authors/ricardo-rei/) · [🧑‍🔬**Graham Neubig**2 works here · 245 citations](https://md.research.elamur.ai/free/en/authors/graham-neubig/) · [🧑‍🔬**Tongshuang Wu**2 works here · 245 citations](https://md.research.elamur.ai/free/en/authors/tongshuang-wu/) · [🧑‍🔬**Esin Durmus**1 work here · 666 citations](https://md.research.elamur.ai/free/en/authors/esin-durmus/) · [🧑‍🔬**Faisal Ladhak**1 work here · 666 citations](https://md.research.elamur.ai/free/en/authors/faisal-ladhak/) · [🧑‍🔬**Kathleen McKeown**1 work here · 666 citations](https://md.research.elamur.ai/free/en/authors/kathleen-mckeown/) · [🧑‍🔬**Percy Liang**1 work here · 666 citations](https://md.research.elamur.ai/free/en/authors/percy-liang/) · [🧑‍🔬**Tatsunori Hashimoto**1 work here · 666 citations](https://md.research.elamur.ai/free/en/authors/tatsunori-hashimoto/) · [🧑‍🔬**Tianyi Zhang**1 work here · 666 citations](https://md.research.elamur.ai/free/en/authors/tianyi-zhang/) · [🧑‍🔬**Jian Li**1 work here · 381 citations](https://md.research.elamur.ai/free/en/authors/jian-li/) · [🧑‍🔬**Weiping Wang**1 work here · 381 citations](https://md.research.elamur.ai/free/en/authors/weiping-wang/)

## Top institutions

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

[🎓**Carnegie Mellon University** Pittsburgh · United States 3 works here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🔬**Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento** Lisbon · Portugal 2 works here](https://md.research.elamur.ai/free/en/labs/instituto-de-engenharia-de-sistemas-e-computadores-investigacao-e/) · [🎓**University of Lisbon** Lisbon · Portugal 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-lisbon/) · [🔬**Instituto de Telecomunicações** Lisbon · Portugal 2 works here](https://md.research.elamur.ai/free/en/labs/instituto-de-telecomunicacoes/) · [🎓**Instituto Superior Técnico** Lisbon · Portugal 2 works here](https://md.research.elamur.ai/free/en/universities/instituto-superior-tecnico/) · [🎓**University of Stuttgart** Stuttgart · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-stuttgart/) · [🔬**Canadian Institute for Advanced Research** Toronto · Canada 1 work here](https://md.research.elamur.ai/free/en/labs/canadian-institute-for-advanced-research/) · [🎓**Pennsylvania State University** State College · United States 1 work here](https://md.research.elamur.ai/free/en/universities/pennsylvania-state-university/) · [🎓**University of California, Santa Barbara** Santa Barbara · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-california-santa-barbara/) · [🎓**Korea Advanced Institute of Science and Technology** Daejeon · South Korea 1 work here](https://md.research.elamur.ai/free/en/universities/korea-advanced-institute-of-science-and-technology/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Chulalongkorn University** Bangkok · Thailand 1 work here](https://md.research.elamur.ai/free/en/universities/chulalongkorn-university/)

works and citations from OpenAlex and our library.

- [← previous TACL 2023](https://md.research.elamur.ai/free/en/venues/tacl/2023/)
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