NeurIPS 2025 Past Large language modelsAI for scienceMultimodal
NeurIPS 2025 2nd Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences
NeurIPS 2025 2nd Workshop FM4LS
- Submission deadline
- Sep 7, 2025, 12:00 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (53)
Fetched from OpenReview (v2) on 2026-06-10.
-
A Comparative Study of Semi-supervised Deep Anomaly Detection and LLMs for Monitoring Patients with Severe Health Status Undergoing Radiotherapy
-
A multi-domain EHR foundation model for predicting Hepatitis B liver disease: a clinical perspective
-
A Multi-Modal Deep Learning Model for Drug Potency Prediction: Leveraging Features from Physics-Based Docking and Advanced Co-Folding Methods
-
A Multi-Modal Foundation Model Across Species for Interpreting Gene Functions
-
Aligning Protein Language Models to Stability Preferences using 1M+ Experimental Mutant Effects
-
BaggingCPP: An Inductive PU-Learning Framework for Discovering Cell-Penetrating Peptides
-
Benchmarking Biomolecular Foundation Models for Cross-Modal Genomics-Proteomics
-
Beyond Labels: Explanatory Collapse due to Instruction Tuning in Protein LLMs
-
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation for Overfitting-Resilient Fine-Tuning of Biological Foundation Models
-
BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning
-
Boundary Guidance for Efficient 3D CT Vision–Language Reasoning
-
CellSpliceNet: Explainable Multimodal Transformers for Splicing in C. elegans Neurons
-
Challenges in Leveraging Functional Information to Evaluate Predicted Protein-Ligand Interactions
-
CHEMSETS: How Capable Are Chemistry LLMs?
-
Decoding Histone Modification Signatures of Non-Coding RNAs via Foundation Models
-
DeepSpot2Cell: Predicting Virtual Single-Cell Spatial Transcriptomics from H&E images using Spot-Level Supervision
-
Disentangling Protein Family Signals in Protein Language Models: Composition or Motifs?
-
Explainable Insulin Pump Control with LLM Controllers for Type 1 Diabetes
-
FlashRNA: an efficient model for regulatory genomics
-
From Base Pairs to Functions: Rich RNA Representations via Multimodal Language Modeling
-
g-DPO: Scalable Preference Optimization for Protein Language Models
-
GLM-Prior: A Genomic Language Model for Sequence-Derived Prior Knowledge in GRN Inference
-
GRAM-DTI: Adaptive Multimodal Representation Learning for Drug–Target Interaction Prediction
-
Harnessing biomedical foundation models for genomic feature engineering to investigate patient drug response
-
HIP-HOP: Invariants for 2D Tilings with Biomedical Case Study
-
Horizon-Aware Vision–Language Forecasting of Diabetic Retinopathy with Text Prototypes
-
Hyperbolic Multimodal Representation Learning for Biological Taxonomies
-
Improved Therapeutic Antibody Reformatting through Multimodal Machine Learning
-
Learning In-Silico Maps of Transcription Factor Binding and Cooperativity interactions
-
Learning monosemantic features in multitask DNA regulatory sequence models via sparse autoencoder decomposition
-
Learning to Align Molecules and Proteins: A Geometry-Aware Approach to Binding Affinity
-
LINKER: Learning Interactions Between Functional Groups and Residues With Chemical Knowledge-Enhanced Reasoning and Explainability
-
LLM-Integrated Representative Path Selection for Context-Aware Drug Repurposing on Biomedical Knowledge Graphs
-
LLMGEN: Evolving Interpretable Surrogate Programs for Genomics with LLMs
-
Mechanistic Interpretability of Semantic Abstraction in Biomedical Texts
-
MoAgent: A Hypothesis-Driven Multi-Agent Framework for Drug Mechanism of Action Discovery
-
MolVision: Molecular Property Prediction with Vision Language Models
-
Motif-aware Tokenization of the Genome: Towards Interpretable Modeling of Gene Regulation
-
Multi-Modal Foundation Models for Computational Pathology: A Survey
-
Multimodal Alignment Reveals Interpretable Gene–Morphology Links in Perineuronal Net Pathology
-
Multimodal Survival Analysis with Locally Deployable Large Language Models
-
Multitask Asynchronous Bidirectional Multimodal Agent for Personalized Treatment Companions
-
Not all representations are equal: Comparing protein language models for antibody thermostability prediction
-
Position: Adjacent Technologies Are the Key Enablers of Scalable and Safe Clinical MLLM Deployment
-
Predicting and generating antibiotics against future pathogens with ApexOracle
-
Predicting cellular responses to perturbation across diverse contexts with State
-
Predicting Influenza Reassortment Potential Using Foundation Models and Genetic Algorithms for Pandemic Preparedness
-
Quantifying the Role of OpenFold Components in Protein Structure Prediction
-
Revealing bias in antibody language models through systematic training data processing with OAS-explore
-
The Exposome Interpreter: A Multi-Modal Framework for Personalized Autoimmune Care
-
Thin Bridges for Drug Text Alignment: Lightweight Contrastive Learning for Target Specific Drug Retrieval
-
Token-Level Guided Discrete Diffusion for Membrane Protein Design
-
Uncertainty-Guided Model Selection for Tabular Foundation Models in Biomolecule Efficacy Prediction