[CfP] Third Workshop on Artificial Intelligence for Scientific Publications at IJCNLP-AACL 2025

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Tirthankar Ghosal

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Jul 28, 2025, 10:54:51 PMJul 28

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***Call for Papers WASP @ IJCNLP-AACL 2025***

https://ui.adsabs.harvard.edu/WIESP/2025/

Building on the success of the First Workshop on Information Extraction from Scientific Publications (WIESP) at AACL-IJCNLP 2022 and the Second WIESP at IJCNLP-AACL 2023, the Third Workshop on Artificial intelligence for Scientific Publications (WASP) at IJCNLP-AACL 2025 aims to establish itself as a pivotal platform for promoting discussions and research in the field of Natural Language Processing (NLP) and Artificial Intelligence (AI). This gathering will bring together esteemed experts and renowned organizations with students and early-career researchers who are interested and invested in efforts to extract and mine the world’s scientific knowledge from research papers. Their collaboration will be focused on developing advanced algorithms, models, and tools that will lay the foundation for future machine comprehension of scientific literature. The third iteration of WASP will specifically concentrate on various topics related to Artificial Intelligence research for scientific publications:

***Topics (not limited to)***

Scientific document parsing and structured information extraction
Scientific named-entity recognition and concept identification
Citation context/span extraction and citation-based knowledge mining
Argument extraction and scientific discourse analysis
Scientific article summarization and headline generation
Question-answering and fact retrieval from scientific literature
Prompt engineering and retrieval-augmented generation (RAG) for science Q&A
Chain-of-thought reasoning and scientific problem-solving with LLMs
LLM-powered information extraction from scientific texts
Pretraining and fine-tuning LLMs on scientific corpora
Evaluation and alignment of LLMs for scientific understanding
AI-assisted scientific discovery and hypothesis generation
Ethical and responsible use of LLMs in scientific publishing
Large Language Reasoning Models for Scientific Discovery
LLM hallucinations and impact on scientific knowledge, publications
Challenges, Future of AI in Scientific Publishing
AI, Peer Review, and Scientific Publishing
Impact of Generative AI on Scientific Publishing

We especially welcome participation from academic and research institutions, government and industry labs, publishers, and information service providers. Projects and organizations using NLP/ML techniques in their text mining and enrichment efforts are also welcome to participate. We strongly encourage the participation of students, researchers, and science practitioners from diverse backgrounds.

We invite papers of the following categories:

***Long papers*** must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Papers must not exceed eight (8) pages of content, plus unlimited pages of references. The final versions of long papers will be given one additional page of content (up to 9 pages) to accommodate reviewers’ comments.
***Short papers*** must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages, such as a small, focused contribution, a negative result, or an interesting application nugget. Short papers must not exceed four (4) pages, plus unlimited pages of references. The final versions of short papers will be given one additional page of content (up to 5 pages) to accommodate reviewers’ comments.

We particularly invite papers, both long and short, that focus on AI and Scientific Publication projects involving large language models. We are particularly interested in efforts aimed at addressing hallucination. This critical challenge affects the reliability of information retrieval and analysis in support of evidence-based policy decisions, such as those guiding public health initiatives.

In addition to papers, WASP will also host a shared task.

***Telescope Reference and Astronomy Categorization Shared (TRACS)***

https://ui.adsabs.harvard.edu/WIESP/2025/shared_task

We will publish a separate CfP on the shared task. Shared task authors will be invited to write their system descriptions, which will then undergo light peer review.

All accepted papers and shared task system papers will be published in the WASP proceedings as part of IJCNLP-AACL 2025 and indexed in the ACL Anthology.

***Important Dates***

First Call for Proposals: July 27, 2025
Second Call for Proposals: August 22, 2025
Registration deadline for TRACS shared task: September 21, 2025
Third Call for Proposals: September 22, 2025
Paper submission deadline (WASP+TRACS): September 29, 2025
ARR commitment deadline: October 27, 2025
Notification of paper acceptance (WASP+TRACS): November 3, 2025
Camera-ready submission deadline (WASP+TRACS): November 11, 2025
Workshop: December 23, 2025 (hybrid)
All submission deadlines are 11.59 pm UTC -12h (“Anywhere on Earth”)

***Paper Submission Site***

https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2025/Workshop/WASP

Submission will be via OpenReview. Submissions should follow the ACLPUB formatting guidelines and use the provided template files. Paper formatting guidelines - ACLPUB

Submissions (Long and Short Papers) will be subject to a double-blind peer-review process. We follow the same policies as IJCNLP-AACL 2025 regarding anonymity, preprints, and double submissions.

Please reach out to the organizers (cc'ed) for any queries.

Thank you!

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Tirthankar Ghosal

Scientist (NLP/AI and HPC)

National Center for Computational Sciences (NCCS)

Oak Ridge National Laboratory, United States

Adjunct Faculty (NLP/AI)

University of Tennessee, Knoxville

United States

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