The 4th WASP: Workshop on Artificial Intelligence for Scientific Publications

IJCNLP-AACL 2026 · November 9-10, 2026 · Online

How can machines read, extract, and structure the knowledge held in the scientific literature? WASP brings the NLP and AI community together around that question, from scientific named-entity recognition and citation mining to summarisation, reproducibility analysis, and the responsible use of large language models in scholarly publishing.

The Fourth Workshop on Artificial Intelligence for Scientific Publications will be held in hybrid mode, online and at Hengqin, China, co-located with IJCNLP-AACL 2026. The program will feature:

  • Invited keynote talk(s)
  • Oral paper presentations
  • Shared task system presentations
  • A virtual poster session and social event
  • A panel discussion (proposed)

Call for papers

We welcome long and short papers on information extraction, summarisation, retrieval, evaluation, and the responsible use of LLMs across the scientific publishing pipeline. Full details and submission instructions are in the call for papers.

Important dates

Important Dates

  • First Call for Papers: June 29, 2026
  • Second Call for Papers: July 13, 2026
  • AstroCLIMB Shared Task Registration Start + Data Release: July 27, 2026
  • AstroCLIMB Shared Task Registration deadline: September 13, 2026
  • Third Call for Papers: August 8, 2026
  • Paper submission deadline (WASP): September 14, 2026
  • System Run and Output Submission (AstroCLIMB Shared Task): September 13, 2026
  • System Paper Submission (AstroCLIMB Shared Task): September 14, 2026
  • Notification of paper acceptance (WASP + Shared Task): October 1, 2026
  • Camera-ready submission deadline (WASP + Shared Task): October 12, 2026
  • Workshop: November 9-10, 2026

All submission deadlines are 11.59 pm UTC -12 h (“Anywhere on Earth”)

Keynote talks

Speakers will be announced soon.

AstroCLIMB Shared task

WASP 2026 includes one shared task where we invite teams (individuals or groups) to evaluate their multimodal (image and text) models on AstroCLIMB: Astronomy Citation Linking from Illustrations: a Multimodal Benchmark.
Participants will have the opportunity to present their findings during the workshop and write a short paper. The best performant or interesting approaches might be invited to further collaborate with NASA Science Explorer (SciX).
Details and registration will be announced soon. Please visit shared task page.

Organizers

Contact

For enquiries, contact Atilla Kaan Alkan at atilla.alkan@cfa.harvard.edu.