Overview
The NeurIPS 2025 2nd Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences invites researchers to submit papers that explore the intersection of multi-modal learning and life sciences. This workshop serves as a platform for discussing advancements and challenges in the field, particularly in relation to biological data.
Background & Relevance
The integration of multi-modal learning with life sciences represents a significant frontier in artificial intelligence and machine learning. As researchers strive to develop models that can effectively process and analyze diverse biological data types, the importance of foundation models and large language models becomes increasingly evident. These advancements have the potential to revolutionize areas such as drug discovery, precision medicine, and personalized treatment, making this workshop a critical event for professionals in the field.
Key Details
- Submission Deadline: September 06, 2025
- Paper Length: Up to 4 pages (excluding references)
- Submission Format: NeurIPS 2025 paper style
- Submission Website: OpenReview
- Workshop Website: Workshop Page
Eligibility & Participation
This call for papers is aimed at researchers, practitioners, and students who are engaged in the fields of multi-modal learning, foundation models, and life sciences. Participants are encouraged to share their findings and insights to foster collaboration and innovation in this rapidly evolving area.
Submission or Application Guidelines
- Prepare your paper in accordance with the NeurIPS 2025 formatting guidelines.
- Ensure your submission does not exceed 4 pages, excluding references.
- Submit your paper via the provided OpenReview link by the deadline.
More Information
The workshop will feature a distinguished lineup of invited speakers from prestigious institutions, including Carnegie Mellon University, Stanford University, and the University of California. These experts will share their insights on the latest methodologies and applications of multi-modal models in life sciences, contributing to a rich dialogue on the future of this research area.
Conclusion
Researchers and practitioners in the AI and life sciences communities are encouraged to participate in this workshop by submitting their papers. This is a valuable opportunity to engage with leading experts, share innovative ideas, and contribute to the advancement of multi-modal foundation models and large language models in the life sciences domain.
Category: CFP & Deadlines
Tags: multi-modal ai, foundation models, large language models, life sciences, drug discovery, precision medicine, biological data, neuroscience, neural networks, deep learning, bioinformatics, machine learning
