--- title: "Workshop on Representation Learning for NLP 2025 — accepted" description: "Workshop on Representation Learning for NLP 2025 — accepted papers: 1 paper in the Elamur Research library (Albuquerque, NM), with our…" canonical: "https://research.elamur.ai/free/en/venues/repl4nlp/2025/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/repl4nlp/2025/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Workshop on Representation Learning for…](https://md.research.elamur.ai/free/en/venues/repl4nlp/) / 2025 # Workshop on Representation Learning for NLP 2025 — accepted papers Workshop on Representation Learning for NLP 2025 is the 2025 edition of the Workshop on Representation Learning for NLP, held in Albuquerque, NM, May 2025 (publisher: Association for Computational Linguistics). The ACL Anthology lists 14 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions. [**14** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/repl4nlp/2025/#works) · [**0** citations of these works](https://md.research.elamur.ai/free/en/venues/repl4nlp/2025/#works)**Albuquerque, NM** where it was held**May 2025** when ## Most cited papers By their OpenAlex citations; a paper with our summary links to its page here, the others to the original. 1. **[Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models ↗](https://aclanthology.org/2025.repl4nlp-1.11/)**Kaiser Sun, Mark Dredze*3 citations* 2. **[Cross-Modal Learning for Music-to-Music-Video Description Generation ↗](https://aclanthology.org/2025.repl4nlp-1.4/)**Zhuoyuan Mao, Mengjie Zhao, Qiyu Wu et al.*1 citation* 3. **[Punctuation Restoration Improves Structure Understanding without Supervision ↗](https://aclanthology.org/2025.repl4nlp-1.10/)**Junghyun Min, Minho Lee, Woochul Lee et al.*1 citation* ## All accepted papers (14) The most cited first; 1 with our summary link to their page here, the others to the original. 1. **[Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models ↗](https://aclanthology.org/2025.repl4nlp-1.11/)**Kaiser Sun, Mark Dredze*3 citations* 2. **[Cross-Modal Learning for Music-to-Music-Video Description Generation ↗](https://aclanthology.org/2025.repl4nlp-1.4/)**Zhuoyuan Mao, Mengjie Zhao, Qiyu Wu et al.*1 citation* 3. **[Punctuation Restoration Improves Structure Understanding without Supervision ↗](https://aclanthology.org/2025.repl4nlp-1.10/)**Junghyun Min, Minho Lee, Woochul Lee et al.*1 citation* 4. **[A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension ↗](https://aclanthology.org/2025.repl4nlp-1.5/)**Saahith Janapati, Yangfeng Ji 5. **[Choose Your Words Wisely: Domain-adaptive Masking Makes Language Models Learn Faster ↗](https://aclanthology.org/2025.repl4nlp-1.6/)**Vanshpreet S. Kohli, Aaron Monis, Radhika Mamidi 6. **[DEPTH: Discourse Education through Pre-Training Hierarchically ↗](https://aclanthology.org/2025.repl4nlp-1.1/)**Zachary Elisha Bamberger, Ofek Glick, Chaim Baskin et al. 7. **[Efficient Document-level Event Relation Extraction ↗](https://aclanthology.org/2025.repl4nlp-1.7/)**Ruochen Li, Zimu Wang, Xinya Du 8. **[Investigating Adapters for Parameter-efficient Low-resource Automatic Speech Recognition ↗](https://aclanthology.org/2025.repl4nlp-1.8/)**Ahnaf Mozib Samin, Shekhar Nayak, Andrea De Marco et al. 9. **[Large Language Models Are Overparameterized Text Encoders ↗](https://aclanthology.org/2025.repl4nlp-1.13/)**Thennal D K, Tim Fischer, Chris Biemann 10. **[Prompt Tuning Can Simply Adapt Large Language Models to Text Encoders ↗](https://aclanthology.org/2025.repl4nlp-1.3/)**Kaiyan Zhao, Qiyu Wu, Zhongtao Miao et al. 11. **[Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/anikina-2025-reverse-probing-evaluating-knowledge-transfer/)**Tatiana Anikina, Arne Binder, David Harbecke et al.*our summary* 12. **[State Space Models are Strong Text Rerankers ↗](https://aclanthology.org/2025.repl4nlp-1.12/)**Zhichao Xu, Jinghua Yan, Ashim Gupta et al. 13. **[Tracking Universal Features Through Fine-Tuning and Model Merging ↗](https://aclanthology.org/2025.repl4nlp-1.2/)**Niels Nielsen Horn, Desmond Elliott 14. **[Vocabulary-level Memory Efficiency for Language Model Fine-tuning ↗](https://aclanthology.org/2025.repl4nlp-1.14/)**Miles Williams, Nikolaos Aletras ## Papers with our summary in our library (1) The most cited first (OpenAlex citations plus our library's). 1. **[Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/anikina-2025-reverse-probing-evaluating-knowledge-transfer/) [Workshop on Representation Learning for NLP](https://md.research.elamur.ai/free/en/venues/repl4nlp/)**Tatiana Anikina, Arne Binder, David Harbecke, et al.*2025* ## 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/) · [Interpretability (1)](https://md.research.elamur.ai/free/en/topics/interpretability/) ## Fields [Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](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. [🧑‍🔬**Josef van Genabith**1 work here](https://md.research.elamur.ai/free/en/authors/josef-van-genabith/) · [🧑‍🔬**Leonhard Hennig**1 work here](https://md.research.elamur.ai/free/en/authors/leonhard-hennig/) · [🧑‍🔬**Sebastian Möller**1 work here](https://md.research.elamur.ai/free/en/authors/sebastian-moller/) · [🧑‍🔬**Simon Ostermann**1 work here](https://md.research.elamur.ai/free/en/authors/simon-ostermann/) · [🧑‍🔬**Tatiana Anikina**1 work here](https://md.research.elamur.ai/free/en/authors/tatiana-anikina/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🔬**German Research Centre for Artificial Intelligence** Kaiserslautern · Germany 1 work here](https://md.research.elamur.ai/free/en/labs/german-research-centre-for-artificial-intelligence/) · [🎓**Technische Universität Berlin** Berlin · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/technische-universitat-berlin/) · [🎓**Saarland University** Saarbrücken · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/saarland-university/) Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library. - [← previous Workshop on Representation Learning for NLP 2021](https://md.research.elamur.ai/free/en/venues/repl4nlp/2021/) - [↑ back to Workshop on Representation Learning for NLP](https://md.research.elamur.ai/free/en/venues/repl4nlp/)