Third Workshop on Artificial intelligence for Scientific Publications (WASP) at IJCNLP-AACL 2025

TG
Tirthankar Ghosal
Tue, Aug 19, 2025 4:01 PM

Call for Papers WASP @ IJCNLP-AACL 2025

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

*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

  • 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
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 https://acl-org.github.io/ACLPUB/formatting.html

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!

--

+++++++++++++++++++++++++++++++++++

Dr. Tirthankar Ghosal https://www.tirthankarghosal.com/

Scientist (NLP/AI and HPC)
https://www.ornl.gov/staff-profile/tirthankar-ghosal

National Center for Computational Sciences (NCCS)

Oak Ridge National Laboratory, United States

&

Affiliate Faculty (NLP/AI)
https://bredesencenter.utk.edu/faculty/tirthankar-ghosal/

University of Tennessee Knoxville

United States

++++++++++++++++++++++++++++++++++++

****Call for Papers WASP @ IJCNLP-AACL 2025**** *https://ui.adsabs.harvard.edu/WIESP/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* *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**** - *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 <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 <https://acl-org.github.io/ACLPUB/formatting.html> 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! -- +++++++++++++++++++++++++++++++++++ Dr. Tirthankar Ghosal <https://www.tirthankarghosal.com/> Scientist (NLP/AI and HPC) <https://www.ornl.gov/staff-profile/tirthankar-ghosal> National Center for Computational Sciences (NCCS) Oak Ridge National Laboratory, United States & Affiliate Faculty (NLP/AI) <https://bredesencenter.utk.edu/faculty/tirthankar-ghosal/> University of Tennessee Knoxville United States ++++++++++++++++++++++++++++++++++++