AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation

Yufang Hou, Steffen Eger, Anne Lauscher, Wei Zhao, Yong Cao


Abstract
This tutorial provides an in-depth overview of recent advances in AI-assisted tools and models that support and enhance the scientific research process, spanning literature discovery, idea generation, multimodal content understanding and generation, text/table generation, and AI-supported peer review.
Anthology ID:
2026.eacl-tutorials.1
Volume:
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 6: Tutorials)
Month:
March
Year:
2026
Address:
St. Julian's, Malta
Editors:
Chenghua Lin, Aline Paes, Rodrigo Wilkens
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–3
Language:
URL:
https://preview.aclanthology.org/ingest-eacl/2026.eacl-tutorials.1/
DOI:
Bibkey:
Cite (ACL):
Yufang Hou, Steffen Eger, Anne Lauscher, Wei Zhao, and Yong Cao. 2026. AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation. In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 6: Tutorials), pages 1–3, St. Julian's, Malta. Association for Computational Linguistics.
Cite (Informal):
AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation (Hou et al., EACL 2026)
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PDF:
https://preview.aclanthology.org/ingest-eacl/2026.eacl-tutorials.1.pdf