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Showing 101–150 of 464 papers

TitleStatusHype
Agentic Deep Graph Reasoning Yields Self-Organizing Knowledge NetworksCode3
K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction PredictionCode1
Solving Online Resource-Constrained Scheduling for Follow-Up Observation in Astronomy: a Reinforcement Learning Approach—0
DiffMS: Diffusion Generation of Molecules Conditioned on Mass SpectraCode2
LucidAtlas: Learning Uncertainty-Aware, Covariate-Disentangled, Individualized Atlas Representations—0
NatureLM: Deciphering the Language of Nature for Scientific Discovery—0
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 Experts—0
Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationCode1
Safety is Essential for Responsible Open-Ended Systems—0
PalimpChat: Declarative and Interactive AI analytics—0
Safety at Scale: A Comprehensive Survey of Large Model SafetyCode3
Gravity-Bench-v1: A Benchmark on Gravitational Physics Discovery for Agents—0
Generative AI Uses and Risks for Knowledge Workers in a Science Organization—0
OCSU: Optical Chemical Structure Understanding for Molecule-centric Scientific DiscoveryCode0
Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension In Biomedical Image Analysis—0
Applications and Challenges of AI and Microscopy in Life Science Research: A Review—0
Solving Sparse Finite Element Problems on Neuromorphic Hardware—0
In-situ graph reasoning and knowledge expansion using Graph-PReFLexORCode3
Agent Laboratory: Using LLM Agents as Research AssistantsCode9
BoxingGym: Benchmarking Progress in Automated Experimental Design and Model DiscoveryCode0
Low-Rank Adaptation for Foundation Models: A Comprehensive Review—0
DropMicroFluidAgents (DMFAs): Autonomous Droplet Microfluidic Research Framework Through Large Language Model AgentsCode0
From Generalist to Specialist: A Survey of Large Language Models for ChemistryCode2
Heterogeneous transfer learning for high dimensional regression with feature mismatch—0
GeneSUM: Large Language Model-based Gene Summary Extraction—0
LLM4AD: A Platform for Algorithm Design with Large Language ModelCode4
Unsupervised Discovery of Formulas for Mathematical ConstantsCode0
Artificial Intelligence, Scientific Discovery, and Product Innovation—0
Post-hoc Interpretability Illumination for Scientific Interaction Discovery—0
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models—0
Learning to Generate Research Idea with Dynamic Control—0
The IBEX Imaging Knowledge-Base: A Community Resource Enabling Adoption and Development of Immunofluoresence Imaging Methods—0
AutoSciLab: A Self-Driving Laboratory For Interpretable Scientific Discovery—0
Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges—0
SuperCode: Sustainability PER AI-driven CO-DEsign—0
Agents for self-driving laboratories applied to quantum computing—0
Understanding complex crowd dynamics with generative neural simulators—0
Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4ScienceCode0
Aligning Generalisation Between Humans and Machines—0
Transforming the Hybrid Cloud for Emerging AI Workloads—0
KAN/MultKAN with Physics-Informed Spline fitting (KAN-PISF) for ordinary/partial differential equation discovery of nonlinear dynamic systems—0
Artificial Scientific Discovery—0
AIGS: Generating Science from AI-Powered Automated FalsificationCode1
Toward a Cohesive AI and Simulation Software Ecosystem for Scientific Innovation—0
CriticAL: Critic Automation with Language Models—0
Validation of an LLM-based Multi-Agent Framework for Protein Engineering in Dry Lab and Wet Lab—0
Calibrating for the Future:Enhancing Calorimeter Longevity with Deep Learning—0
Automating Exploratory Proteomics Research via Language Models—0
IdeaBench: Benchmarking Large Language Models for Research Idea GenerationCode0
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