2025Q3 Reports: Student Research Workshop Chairs

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ACL 2025 Student Research Workshop Report

Overview

The ACL 2025 Student Research Workshop (SRW) will be held in conjunction with ACL 2025. This event serves as a forum for students conducting research in Computational Linguistics, Natural Language Processing, and Machine Learning. It offers students an excellent opportunity to present their work and receive mentorship and constructive feedback from members of the international research community.

Submissions and Review

This year, the workshop received a total of 323 valid submissions. In addition, 10 papers were withdrawn and 16 were desk-rejected. Before the formal review process began, 75 students applied for mentorship. Each submission was assigned at least two reviewers, and 94.43% of papers (305 out of 323) received at least three reviews. Overall, there were 1182 accepted reviewers participating in the evaluation process.

Following the review process, 104 papers were accepted, with 8 selected for oral presentations and 96 as poster presentations. One paper was withdrawn after acceptance. The final acceptance rate stands at 32.2%, consistent with last year's rate. Of the accepted papers, 85 are designated as archival, while 19 are non-archival.

Workshop Format and Schedule

The Student Research Workshop will take place on July 28the and 29th, during main conference day. The event will feature both oral and poster presentations. To maintain the spirit of an in-person event within a virtual setting, all talks and posters will be pre-recorded and made available asynchronously from the start of the conference. The oral session will include eight talks, each followed by a live Q&A session with the presenters.

Topics Covered

The accepted papers span a wide range of NLP research areas, including:

  • Computational Social Science and Social Media
  • Dialogue and Interactive Systems
  • Discourse and Pragmatics
  • Ethics and NLP
  • Information Extraction, Information Retrieval, and Text Mining
  • Interpretability and Analysis of Models for NLP
  • Language Grounding to Vision, Robotics, and Beyond
  • Large Language Models
  • Linguistic Theories, Cognitive Modeling, and Psycholinguistics
  • Machine Learning for NLP
  • Machine Translation and Multilinguality
  • NLP Applications
  • Phonology, Morphology, and Word Segmentation
  • Question Answering
  • Resources and Evaluation
  • Semantics: Lexical
  • Semantics: Sentence-level Semantics
  • Textual Inference and Other Areas
  • Sentiment Analysis, Stylistic Analysis, and Argument Mining
  • Speech and Multimodality
  • Summarization
  • Syntax: Tagging, Chunking, and Parsing

Funding and Student Support

The ACL 2025 Student Research Workshop has secured substantial funding to support student participation. Thanks to the dedicated efforts of the SRW faculty advisors, multiple sources of financial support were obtained. The Vienna Meeting Fund approved $30,000 specifically earmarked for the SRW, while ACL itself committed an additional $10,000. Together, these sources provide approximately $40,000 to directly support travel and participation for 15 student researchers, with a focus on those from underrepresented regions and economically disadvantaged backgrounds. Additionally, earlier funding was secured through the Google DeepMind Events Sponsorship, providing approximately $1,300 to help cover organizational costs. These combined funding efforts reflect the strong commitment of the ACL community to fostering early-stage research and supporting equitable participation in the field.

Acknowledgements

The SRW organizing committee and faculty advisors extend their sincere thanks to all reviewers, mentors, area chairs, program chairs, and the broader ACL community for their generous contributions of time and expertise. We look forward to an engaging workshop that offers students valuable opportunities for feedback, networking, and professional development, both in person and virtually. We especially appreciate the collective commitment to mentoring and to creating a welcoming space for the next generation of computational linguists and NLP researchers.