--- title: "Transactions of the Association for Computational" description: "Transactions of the Association for Computational Linguistics (TACL) 2025 — papers: 3 papers in the Elamur Research library, with our…" canonical: "https://research.elamur.ai/free/en/venues/tacl/2025/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/tacl/2025/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [TACL](https://md.research.elamur.ai/free/en/venues/tacl/) / 2025 # Transactions of the Association for Computational Linguistics (TACL) 2025 — papers The works of Transactions of the Association for Computational Linguistics (TACL) published in 2025 that our library holds (publisher: The MIT Press): 3 works, listed below with the most cited first; each has a page with our summary, its key points and its references. [**82** works that year](#all) · [**3** works in our library](https://md.research.elamur.ai/free/en/venues/tacl/2025/#works) · [**216** citations of these works](https://md.research.elamur.ai/free/en/venues/tacl/2025/#works) ## All works of the year (82) The most cited first; 3 with our summary link to their page here, the others to the original. 1. **[(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts ↗](https://aclanthology.org/2025.tacl-1.42/)**Minghao Wu, Jiahao Xu, Yulin Yuan et al. 2. **[A Comparative Approach for Auditing Multilingual Phonetic Transcript Archives ↗](https://aclanthology.org/2025.tacl-1.29/)**Farhan Samir, Emily P. Ahn, Shreya Prakash et al. 3. **[A Confidence-based Acquisition Model for Self-supervised Active Learning and Label Correction ↗](https://aclanthology.org/2025.tacl-1.7/)**Carel van Niekerk, Christian Geishauser, Michael Heck et al. 4. **[A Systematic Review of NLP for Dementia: Tasks, Datasets, and Opportunities ↗](https://aclanthology.org/2025.tacl-1.56/)**Lotem Peled-Cohen, Roi Reichart 5. **[A Unifying Scheme for Extractive Content Selection Tasks ↗](https://aclanthology.org/2025.tacl-1.74/)**Shmuel Amar, Ori Shapira, Aviv Slobodkin et al. 6. **[Accurate and Efficient Fine-Tuning of Quantized Large Language Models Through Optimal Balance in Adaptation ↗](https://aclanthology.org/2025.tacl-1.40/)**Ao Shen, Zhiquan Lai, Qiang Wang et al. 7. **[Active Knowledge Structuring for Large Language Models in Materials Science Text Mining ↗](https://aclanthology.org/2025.tacl-1.55/)**Xin Zhang, Jingling Yuan, Peiliang Zhang et al. 8. **[Adding Chocolate to Mint: Mitigating Metric Interference in Machine Translation ↗](https://aclanthology.org/2025.tacl-1.60/)**José Pombal, Nuno M. Guerreiro, Ricardo Rei et al. 9. **[Adversarial Defense without Adversarial Defense: Enhancing Language Model Robustness via Instance-level Principal Component Removal ↗](https://aclanthology.org/2025.tacl-1.63/)**Yang Wang, Chenghao Xiao, Yizhi Li et al. 10. **[Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet? ↗](https://aclanthology.org/2025.tacl-1.51/)**Evgeniia Razumovskaia, Ivan Vulić, Anna Korhonen 11. **[Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment ↗](https://aclanthology.org/2025.tacl-1.22/)**Karel D'Oosterlinck, Winnie Xu, Chris Develder et al. 12. **[Are Triggers Needed for Document-Level Event Extraction? ↗](https://aclanthology.org/2025.tacl-1.71/)**Shaden Shaar, Wayne Chen, Maitreyi Chatterjee et al. 13. **[BenCzechMark: A Czech-Centric Multitask and Multimetric Benchmark for Large Language Models with Duel Scoring Mechanism ↗](https://aclanthology.org/2025.tacl-1.50/)**Martin Fajcik, Martin Docekal, Jan Dolezal et al. 14. **[Benchmarking Linguistic Diversity of Large Language Models ↗](https://aclanthology.org/2025.tacl-1.69/)**Yanzhu Guo, Guokan Shang, Chloé Clavel 15. **[Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph](https://md.research.elamur.ai/free/en/papers/vashurin-2025-benchmarking-uncertainty-quantification-methods-large/)**Roman Vashurin, Ekaterina Fadeeva, Artem Vazhentsev et al.*our summary* 16. **[BharatBBQ: A Multilingual Bias Benchmark for Question Answering in the Indian Context ↗](https://aclanthology.org/2025.tacl-1.75/)**Aditya Tomar, Nihar Ranjan Sahoo, Pushpak Bhattacharyya 17. **[CLAPnq: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems ↗](https://aclanthology.org/2025.tacl-1.3/)**Sara Rosenthal, Avirup Sil, Radu Florian et al. 18. **[CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation ↗](https://aclanthology.org/2025.tacl-1.76/)**Ingo Ziegler, Abdullatif Köksal, Desmond Elliott et al. 19. **[CRVQ: Channel-Relaxed Vector Quantization for Extreme Compression of LLMs ↗](https://aclanthology.org/2025.tacl-1.68/)**Yuzhuang Xu, Shiyu Ji, Qingfu Zhu et al. 20. **[Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries ↗](https://aclanthology.org/2025.tacl-1.41/)**Chaitanya Malaviya, Joseph Chee Chang, Dan Roth et al. 21. **[Continual Pre-training on Character-level Noisy Texts Makes Decoder-based Language Models Robust Few-shot Learners ↗](https://aclanthology.org/2025.tacl-1.38/)**Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa 22. **[Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art](https://md.research.elamur.ai/free/en/papers/liu-2025-culturally-aware-adapted-nlp-taxonomy/)**Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen*our summary* 23. **[DARE: Diverse Visual Question Answering with Robustness Evaluation ↗](https://aclanthology.org/2025.tacl-1.52/)**Hannah Sterz, Jonas Pfeiffer, Ivan Vulić 24. **[DEAR: Disentangled Event-Agnostic Representation Learning for Early Fake News Detection ↗](https://aclanthology.org/2025.tacl-1.16/)**Xiao Pu, Hao Wu, Xiuli Bi et al. 25. **[Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models ↗](https://aclanthology.org/2025.tacl-1.37/)**Shahriar Golchin, Mihai Surdeanu [See all 82 papers in Transactions of the Association for Computational Linguistics (TACL) 2025 — papers →](https://md.research.elamur.ai/free/en/venues/tacl/2025/papers/) ## Works with our summary in our library (3) The most cited first (OpenAlex citations plus our library's). 1. **[Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art](https://md.research.elamur.ai/free/en/papers/liu-2025-culturally-aware-adapted-nlp-taxonomy/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen*2025 · 89 citations* 2. **[Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph](https://md.research.elamur.ai/free/en/papers/vashurin-2025-benchmarking-uncertainty-quantification-methods-large/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Roman Vashurin, Ekaterina Fadeeva, Artem Vazhentsev, et al.*2025 · 66 citations* 3. **[SpiRit-LM: Interleaved Spoken and Written Language Model](https://md.research.elamur.ai/free/en/papers/nguyen-2025-spirit-lm-interleaved-spoken-written/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tu Anh Nguyen, Benjamin Muller, Bokai Yu, et al.*2025 · 61 citations* ## Top topics Topics of its works in our library, with the number of works on each. [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) ## Fields [Arts and Humanities (3)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (3)](https://md.research.elamur.ai/free/en/shelves/computer-science/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Anna Korhonen**1 work here · 89 citations](https://md.research.elamur.ai/free/en/authors/anna-korhonen/) · [🧑‍🔬**Iryna Gurevych**1 work here · 89 citations](https://md.research.elamur.ai/free/en/authors/iryna-gurevych/) · [🧑‍🔬**Abdelrahman Sadallah**1 work here · 66 citations](https://md.research.elamur.ai/free/en/authors/abdelrahman-sadallah/) · [🧑‍🔬**Alexander Panchenko**1 work here · 66 citations](https://md.research.elamur.ai/free/en/authors/alexander-panchenko/) · [🧑‍🔬**Ekaterina Fadeeva**1 work here · 66 citations](https://md.research.elamur.ai/free/en/authors/ekaterina-fadeeva/) · [🧑‍🔬**Sergey Petrakov**1 work here · 66 citations](https://md.research.elamur.ai/free/en/authors/sergey-petrakov/) · [🧑‍🔬**Timothy Baldwin**1 work here · 66 citations](https://md.research.elamur.ai/free/en/authors/timothy-baldwin/) · [🧑‍🔬**Benjamin Muller**1 work here · 61 citations](https://md.research.elamur.ai/free/en/authors/benjamin-muller/) · [🧑‍🔬**Itai Gat**1 work here · 61 citations](https://md.research.elamur.ai/free/en/authors/itai-gat/) · [🧑‍🔬**Maha Elbayad**1 work here · 61 citations](https://md.research.elamur.ai/free/en/authors/maha-elbayad/) · [🧑‍🔬**Marta R. Costa-jussa**1 work here · 61 citations](https://md.research.elamur.ai/free/en/authors/marta-r-costa-jussa/) · [🧑‍🔬**Mary Williamson**1 work here · 61 citations](https://md.research.elamur.ai/free/en/authors/mary-williamson/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**National Research University Higher School of Economics** Moscow · Russia 1 work here](https://md.research.elamur.ai/free/en/universities/national-research-university-higher-school-of-economics/) · [🔬**Centre National de la Recherche Scientifique** Paris · France 1 work here](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) · [🎓**The University of Melbourne** Melbourne · Australia 1 work here](https://md.research.elamur.ai/free/en/universities/the-university-of-melbourne/) · [🎓**University of Cambridge** Cambridge · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**Université Paris Sciences et Lettres** Paris · France 1 work here](https://md.research.elamur.ai/free/en/universities/universite-paris-sciences-et-lettres/) · [🔬**École Normale Supérieure - PSL** Paris · France 1 work here](https://md.research.elamur.ai/free/en/labs/ecole-normale-superieure-psl/) · [🎓**Technische Universität Darmstadt** Darmstadt · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/technische-universitat-darmstadt/) · [🎓**ETH Zurich** Zurich · Switzerland 1 work here](https://md.research.elamur.ai/free/en/universities/eth-zurich/) · [🎓**Mohamed bin Zayed University of Artificial Intelligence** Abu Dhabi · United Arab Emirates 1 work here](https://md.research.elamur.ai/free/en/universities/mohamed-bin-zayed-university-of-artificial-intelligence/) · [🔬**Hessian Center for Artificial Intelligence** Darmstadt · Germany 1 work here](https://md.research.elamur.ai/free/en/labs/hessian-center-for-artificial-intelligence/) · [🔬**École des hautes études en sciences sociales** Paris · France 1 work here](https://md.research.elamur.ai/free/en/labs/ecole-des-hautes-etudes-en-sciences-sociales/) works and citations from OpenAlex and our library. - [← previous TACL 2024](https://md.research.elamur.ai/free/en/venues/tacl/2024/) - [next → TACL 2026](https://md.research.elamur.ai/free/en/venues/tacl/2026/) - [↑ back to TACL](https://md.research.elamur.ai/free/en/venues/tacl/)