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scientific discovery

Papers

Showing 176200 of 464 papers

TitleStatusHype
CS-PaperSum: A Large-Scale Dataset of AI-Generated Summaries for Scientific Papers0
Towards an AI co-scientist0
A Perspective on Symbolic Machine Learning in Physical Sciences0
Auto-Bench: An Automated Benchmark for Scientific Discovery in LLMs0
Solving Online Resource-Constrained Scheduling for Follow-Up Observation in Astronomy: a Reinforcement Learning Approach0
LucidAtlas: Learning Uncertainty-Aware, Covariate-Disentangled, Individualized Atlas Representations0
NatureLM: Deciphering the Language of Nature for Scientific Discovery0
Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic ScienceCode0
Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts0
Safety is Essential for Responsible Open-Ended Systems0
PalimpChat: Declarative and Interactive AI analytics0
Gravity-Bench-v1: A Benchmark on Gravitational Physics Discovery for Agents0
Generative AI Uses and Risks for Knowledge Workers in a Science Organization0
Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension In Biomedical Image Analysis0
OCSU: Optical Chemical Structure Understanding for Molecule-centric Scientific DiscoveryCode0
Applications and Challenges of AI and Microscopy in Life Science Research: A Review0
Solving Sparse Finite Element Problems on Neuromorphic Hardware0
BoxingGym: Benchmarking Progress in Automated Experimental Design and Model DiscoveryCode0
Low-Rank Adaptation for Foundation Models: A Comprehensive Review0
DropMicroFluidAgents (DMFAs): Autonomous Droplet Microfluidic Research Framework Through Large Language Model AgentsCode0
Heterogeneous transfer learning for high dimensional regression with feature mismatch0
GeneSUM: Large Language Model-based Gene Summary Extraction0
Unsupervised Discovery of Formulas for Mathematical ConstantsCode0
Artificial Intelligence, Scientific Discovery, and Product Innovation0
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models0
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