NeurIPS 2024 Past Large language modelsAI for science
Neurips 2024 Workshop Foundation Models for Science: Progress, Opportunities, and Challenges
Neurips 2024 Workshop FM4Science
- Submission deadline
- Sep 14, 2024, 11:59 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 (68)
Fetched from OpenReview (v2) on 2026-06-10.
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A Biosafety-aware Framework for Generative Enzyme Design with Foundation Models
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A COMPARATIVE STUDY OF NEURAL ODE AND UNIVERSAL ODE MODELS IN SOLVING CHANDRASEKHAR’S WHITE DWARF EQUATION.
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A Foundation Model for Metagenomic Sequences
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A Large Encoder-Decoder Polymer-Based Foundation Model
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A Mamba-Based Foundation Model for Chemistry
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Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive Manufacturing
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Agnostic Causality-Driven Enhancement of Chemical Foundation Models on Downstream Tasks
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Assessing interaction recovery of predicted protein-ligand poses
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AtmosArena: Benchmarking Foundation Models for Atmospheric Sciences
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BarcodeMamba: State Space Models for Biodiversity Analysis
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Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
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BiRNA-BERT: Adaptive Tokenization for Efficient RNA Language Modeling
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Bridging biomolecular modalities for knowledge transfer in bio-language models
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Can we pre-train ICL-based SFMs for the zero-shot inference of the 1D CDR problem with noisy data?
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Cell ontology guided transcriptome foundation model
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ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary
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ChemDFM: A Large Language Foundation Model for Chemistry
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CLOUD: A Scalable Scientific Foundation Model for Crystal Representation Learning
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Contextualizing biological perturbation experiments through language
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DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operators
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Developing a Foundation Model for Predicting Material Failure
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DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis
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Enhancing Detail Recovery in ICF Radiographs: A Transformer-based Approach with ViXReg
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Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting
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Generating and Validating Agent and Environment Code for Simulating Realistic Personality Profiles with Large Language Models
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Generative Models in Protein Engineering: A Comprehensive Survey
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GFlowNet Pretraining with Inexpensive Rewards
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IgBlend: Unifying 3D Structure and Sequence for Antibody LLMs
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Improving generalisability of 3D binding affinity models in low data regimes
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Is Tokenization Needed for Masked Particle Modelling?
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Language Models for Text-guided Protein Evolution
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Learning temperature-aware representations from millions of annotated protein sequences
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Leveraging foundation models for data-limited ecological applications
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LLM Agent for Fire Dynamics Simulations
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MAMORX: Multi-agent Multi-Modal Scientific Review Generation with External Knowledge
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Maven: A Multimodal Foundation Model for Supernova Science
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Metalic: Meta-Learning In-Context with Protein Language Models
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Molphenix: A Multimodal Foundation Model for PhenoMolecular Retrieval
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Multi-View Mixture-of-Experts for Predicting Molecular Properties Using SMILES, SELFIES, and Graph-Based Representations
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OPI: An Open Instruction Dataset for Adapting Large Language Models to Protein-Related Tasks
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PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics
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ProtDiff: Function-Conditioned Masked Diffusion Models for Robust Directed Protein Generation
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Provable in-context learning of linear systems and linear elliptic PDEs with transformers
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Pulsar Candidate Classification with Multimodal Large Language Models
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Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires
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Scale-consistent learning with neural operators
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SciDFM: A Large Language Model with Mixture-of-Experts for Science
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Scientific Knowledge Graph and Ontology Generation using Open Large Language Models
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SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
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SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
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SeisLM: a Foundation Model for Seismic Waveforms
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Self-supervised Multimodal Model for Astronomy
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Small Molecule Optimization with Large Language Models
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Solaris: A Foundation Model of the Sun
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Solving Out-of-Distribution Challenges in Optical Foundation Models using Self-Improving Data Augmentation
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Specialized Foundation Models Struggle to Beat Supervised Baselines
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SpectraFM: Tuning into Stellar Foundation Models
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Stylish and Functional: Guided Interpolation Subject to Physical Constraints
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Survey: Adaptive Physics-informed Neural Networks
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SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems
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Towards Interpretable Scientific Foundation Models: Sparse Autoencoders for Disentangling Dense Embeddings of Scientific Concepts
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Uncertainty and Generalizability in Foundation Models for Earth Observation
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Understanding Drought through Spatial-Temporal Learning
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Understanding Protein-DNA Interactions by Paying Attention to Protein and Genomics Foundation Models
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Vision foundation models: can they be applied to astrophysics data?
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ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy
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VSMNO: Solving PDE by Utilizing Spectral Patterns of Different Neural Operators
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Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery