Topics

The topics include but are not limited to:

• Multi-modal foundation models for learning representations of proteins, DNAs, RNAs, transcriptomic data, metabolomic data, and other biological modalities.
• Multi-modal LLMs for predicting the functions of proteins, DNAs, RNAs, and other biomolecules.
• LLM agents for multi-modal biomedical data
• Multi-modal foundation models for learning joint representations of multi-omics data.
• Multi-modal generative models for designing proteins, DNAs, RNAs, and other biomolecules.
• Applications of multi-modal foundation models and LLMs in drug discovery, precision medicine, personalized treatment, and beyond.
• Interpretability and robustness in biological multi-modal foundation models and LLMs.

Submission Format

We invite submissions of full papers, as well as works-in-progress, position papers, and papers describing open problems and challenges. While original contributions are preferred, we also invite submissions of high-quality work that has recently been published in other venues or is concurrently submitted. Papers should be up to 4 pages in length (excluding references) formatted using the ICML template. All the submissions should be anonymous. An optional appendix can be added in the submission, after references. There is no page limit for appendix.

Each submission will be reviewed by two reviewers. The accepted papers are allowed to get submitted to other conference venues. This workshop has no archival proceedings.

Contact: icml2026fm4ls@gmail.com

Paper submission at OpenReview

Important Dates

Paper Submission Deadline: May 1st, 2026, 11:59 pm AoE
Acceptance Notification: May 15th, 2026, 11:59 pm AoE
Camera-Ready Submission Deadline: TBD
Workshop: July 10 or 11, 2026