LLM4Cell: Taxonomy and Evaluation of LLM and Agentic Models for Single-Cell Biology
Published in 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), Main Conference, 2026
LLM4Cell organizes foundation and agentic models for single-cell research across model families, data modalities, analytical tasks, datasets, and evaluation dimensions. The paper identifies gaps in biological grounding, standardization, interpretability, and trustworthy evaluation.
Recommended citation: Dip, Sajib Acharjee, et al. (2026). "LLM4Cell: Taxonomy and Evaluation of LLM and Agentic Models for Single-Cell Biology." Proceedings of ACL 2026, 41913-41954.
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