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Showing 1–25 of 464 papers

TitleStatusHype
Open Source Planning & Control System with Language Agents for Autonomous Scientific DiscoveryCode2
Topic Modeling and Link-Prediction for Material Property Discovery—0
STRUCTSENSE: A Task-Agnostic Agentic Framework for Structured Information Extraction with Human-In-The-Loop Evaluation and BenchmarkingCode0
Distributed Cross-Channel Hierarchical Aggregation for Foundation Models—0
Active Inference AI Systems for Scientific Discovery—0
A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools—0
AI Assistants to Enhance and Exploit the PETSc Knowledge Base—0
From Reproduction to Replication: Evaluating Research Agents with Progressive Code MaskingCode0
AutomataGPT: Forecasting and Ruleset Inference for Two-Dimensional Cellular Automata—0
LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling ResearchCode1
Graphics4Science: Computer Graphics for Scientific Impacts—0
An ELIXIR scoping review on domain-specific evaluation metrics for synthetic data in life sciences—0
Scientifically-Interpretable Reasoning Network (ScIReN): Uncovering the Black-Box of Nature—0
Evolvable Conditional Diffusion—0
Interpretable representation learning of quantum data enabled by probabilistic variational autoencoders—0
ClimateChat: Designing Data and Methods for Instruction Tuning LLMs to Answer Climate Change QueriesCode1
HSG-12M: A Large-Scale Spatial Multigraph DatasetCode1
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists—0
ALINE: Joint Amortization for Bayesian Inference and Active Data AcquisitionCode0
Can Theoretical Physics Research Benefit from Language Agents?—0
Unsupervised Machine Learning for Scientific Discovery: Workflow and Best PracticesCode0
Matter-of-Fact: A Benchmark for Verifying the Feasibility of Literature-Supported Claims in Materials ScienceCode0
Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony—0
A Dynamic Framework for Semantic Grouping of Common Data Elements (CDE) Using Embeddings and Clustering—0
From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models—0
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