ICML 2026PastLarge language modelsAI for scienceMultimodal
ICML 2026 3rd Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences
ICML 2026 FM4LS Workshop
- Submission deadline
- May 11, 2026, 16:59 UTCOpenReview-synced 2026-05-11 16:59 UTC (as of 2026-06-23) — extensions on OpenReview are applied automatically; verify on the website.
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (83)
Fetched from OpenReview (v2) on 2026-06-10.
AgriPerceiver: A Parameter-Efficient Vision-Language Model for Structured Macroscopic Crop Phenotyping
AMR-Bench-mini: A Diagnostic Benchmark for Agentic Mechanistic AMR Reasoning under Evidence Insufficiency
ARO: Aligned Representation learning for multi-Omics data
Auditing Generative Graph Foundation Models for Connectomics: A Score × Predictor × Sampler Decomposition on Real Sparse Directed Connectomes
Beyond Nativeness: Viral Proteins in Protein Language Models
Biophysics-Guided Genomic Foundation Models via Attention Gating
Bolek: A Multimodal Language Model for Molecular Reasoning
Causal-IQD-DTA: Counterfactual Interaction-Quality Disentanglement for Robust Drug–Target Affinity Prediction
Cell Painting Generates Single-Cell Transcriptomics via Conditional Diffusion
ConfPert: Distribution-Free Conformal Coverage for Single-Cell Perturbation Predictors
Contrastive Learning for Gene Set Enrichment Analysis Post-Processing
Cross-modal transfer learning for mapping bulk transcriptomes at cellular level
DELBERT-2: Pretrained Fingerprint Language Models for DEL Protein Binder Prediction
Detecting Sparse Colorectal Cancer Signals from Multi-Modal Cell-Free DNA Representations Using Modern Hopfield Attention
Do Clinical VLMs Need Dense Visual Tokens? Probing Spatial Grounding in Radiology Report Generation
DrugAgent: Reliable Multi-Agent Aggregation under Conflicting Biomedical Evidence
E1: Retrieval-Augmented Protein Encoder Models
Empirical Observations on Parameter Scaling in Chemical Language Models
ERVNet: A Three-Module Framework for Predicting Endogenous Retrovirus Reactivation, Gene Propagation, and Immunogenicity
esm-bind: How much protein–RNA binding signal is already in frozen ESM-2 + RNA-FM representations?
Exploring Set-Aggregated Genome Embeddings for Microbiome Abundance Prediction
Few-Shot Biomedical Image Classification by Alignment of Independently Pretrained Encoders
Gene-Embedding Perturbation Operators for Zero-Shot and Transferable Prediction of Transcriptional Responses
Generalization of Protein Foundation Models for Engineered Fluorescent Biosensors
GeneZip: Region-Aware Compression for Long Context DNA Modeling
GFETM: Genome Foundation-based Embedded Topic Model for scATAC-seq Modeling
Group Contrastive Learning for Weakly Paired Multimodal Data
HealthBot: An Open-Source AI Assistant for Longitudinal Personal Health Management
HistoTx: Early fusion of H&E images and spatial transcriptomics at varying spatial transcriptomics resolution with self-supervised learning
How Do Medical MLLMs Fail? A Study on Visual Grounding in Medical Images
ImmunoFoundation: A Multimodal Foundation Model for Immunogenicity Prediction and Peptide Optimization
Is PEFT Enough for Cell Segmentation? An Empirical No-Go Result on Frozen Foundation Models
Learning Protein Fitness Landscapes with Multimodal Stability Priors
Lightweight Alignment of Unimodal Foundation Models for Metabolite Identification
LLMs Can Learn the Language of the Microbiome
Local-Atlas Control-Anchored Flow Matching for Unpaired Single-Cell Perturbation Prediction
Marking the Wrong Symptoms: Evaluating LLM Watermarks in Medical Texts
Mechanistic Synergy in Multi-Modal VEP: DNA Context Complements PLMs under Biophysical Constraints
Medmarks: An Open-Source LLM Benchmark Suite for Medical Tasks
MESH-HR: Multimodal Fusion of Somatic DNA Profiles and Histopathology for Continuous Breast Cancer Receptor Subtyping via LLM-Assisted Annotation
Mode-Aware Phenotype Profiling from Korean Clinical Reports: An LLM-Derived Two-Layer Fingerprint for Autism Characterization
MolEmb: Multimodal Large Language Models Can Be Strong Molecular Embedding Models
Neuro-Anatomy–Informed Self-Supervised Learning for Structural Brain MRI
OmicsDefense: The First Unified Framework for Defending Against Backdoor Attacks in Single-cell Foundation Models
OmicsLM: A Multimodal Large Language Model for Multi-Sample Omics Reasoning
PaCX-MAE: Physiology-Augmented Chest X-Ray Masked Autoencoder
PaSTel: Anchoring Histology in Spatial Transcriptomics via Multi-Scale Hierarchical Bio-Prior Contrastive Pretraining
PertReasonQA: A Knowledge-Grounded Benchmark and Framework for Cell-State–Conditioned Mechanistic Reasoning of Perturbation Effects
PerturbDiff: Functional Diffusion for Single-Cell Perturbation Modeling
Position: AI for Drug Discovery Models Often Do Not Learn as Expected and How to Diagnose These Failure Modes
Position: Multi-Modal LLMs for Video Behavioral Coding in High-Stakes Decision-Making Are Bounded by Polysemy, Not by Model Scale
Position: Multi-Omics Foundation Models Need a Modality Identifiability Standard, Not Just Aggregate Accuracy
Position: Saturation in Single-Cell Foundation Model Benchmarks Signals Identifiability Failure, Not Solved Capability
Position: Saturation in Single-Cell Foundation Model Benchmarks Signals Identifiability Failure, Not Solved Capability
Pre-training on noncovalent interactions from synthetic protein-ligand structures to better predict binding affinity
Predicting host-pathogen interactions using a proteome-scale language model
PRIMA: a bidirectional state-space architecture and training approach for sequence modelling of protein-protein interactions
Probing, Fusion, and Trustworthiness: A Systematic Evaluation of Foundation Model Representations for Multimodal Cancer Analysis
ProSAM: Modular and Energy-Guided Fine-Tuning of Protein Language Models for Structure Prediction
ProteinJEPA: Latent prediction complements protein language models
ProteomeLM: A Proteome-Scale Language Model Enables Accurate and Rapid Prediction of Protein-Protein Interactions and Gene Essentiality Across Taxa
PROTEUS: Predicting How Post-Translational Modifications Alter Drug Binding Affinity
ProtQueSt: Query-Conditioned Retrieval-Augmented Generation for Protein Function Annotation
ProtSent: Protein Sentence Transformers
Retrieval-Augmented Foundation Model Enhances Risk Prediction Using Electronic Health Records
SaNano - Structure Aware Transfer Learning For Data Limited Protein Modality
Search, Edit, and Fold: LLM-Guided MSA Optimization for Protein Conformation Prediction
Selective Benefits of Sequence-Drug Multimodal Learning for Antimicrobial Resistance Prediction
SIGMMA: Hierarchical Graph-Based Multi-Scale Multi-modal Contrastive Alignment of Histopathology Image and Spatial Transcriptome
Single-Cell Cross-Modal Transfer by Adversarial Fine-Tuning of Foundation Models
Structural Bottleneck Reasoning: Efficient Medical VQA via Concept Alignment
Survival-Relevant Directional Pathology–Omics Discordance from Frozen Whole-Slide Foundation Embeddings
Synergy-Aware Contrastive Pretraining for Co-recorded Physiological Signals
The Hallucination Dependence Index: A Cross-Condition Diagnostic for Clinical-LLM Faithfulness
Transcriptomics-Conditioned Virtual Tissue Synthesis via Diffusion Transformers
Transferable Lesion-Supervised Speech Representations for Post-Stroke Modelling
TriFit: Trimodal Fusion with Protein Dynamics for Mutation Fitness Prediction
Uncovering evolutionarily remote and highly potent antimicrobial peptides with protein language models
VFUSE: Virulent Feature Understanding with Sparse autoEncoders
Virtual Cell Models Inflate Perturbation Effect Sizes and Undermine Causal Gene Regulatory Network Recovery
VirtualCeLLM: A Comprehensive Benchmark and Guidance for Large Language Models in Cellular Biology
WACA-DTA: Water-Aware Geometric Biases for Structure-Conditioned Drug-Target Affinity Prediction
What Makes a Virtual Cell a World Model? Three Gaps, Three Axes, and a Roadmap