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Showing 51–100 of 464 papers

TitleStatusHype
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions—0
34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery—0
A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law—0
IRIS: Interactive Research Ideation System for Accelerating Scientific DiscoveryCode1
AI Idea Bench 2025: AI Research Idea Generation Benchmark—0
Ascribe New Dimensions to Scientific Data Visualization with VR—0
Deep literature reviews: an application of fine-tuned language models to migration research—0
Causal-Copilot: An Autonomous Causal Analysis Agent—0
HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis GenerationCode2
MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?—0
Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling—0
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree SearchCode7
The Power of the Pareto Front: Balancing Uncertain Rewards for Adaptive Experimentation in scanning probe microscopy—0
Foundation Models for Environmental Science: A Survey of Emerging Frontiers—0
The AI Cosmologist I: An Agentic System for Automated Data AnalysisCode1
We Need Improved Data Curation and Attribution in AI for Scientific Discovery—0
How Deep Do Large Language Models Internalize Scientific Literature and Citation Practices?Code0
Advancing AI-Scientist Understanding: Making LLM Think Like a Physicist with Interpretable Reasoning—0
AI-Newton: A Concept-Driven Physical Law Discovery System without Prior Physical KnowledgeCode2
Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip StatisticsCode0
Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents—0
Interpretable Machine Learning in Physics: A Review—0
A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support—0
Scaling Laws in Scientific Discovery with AI and Robot Scientists—0
Confidence Adjusted Surprise Measure for Active Resourceful Trials (CA-SMART): A Data-driven Active Learning Framework for Accelerating Material Discovery under Resource Constraints—0
ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition—0
Iterative Hypothesis Generation for Scientific Discovery with Monte Carlo Nash Equilibrium Self-Refining Trees—0
SCI-IDEA: Context-Aware Scientific Ideation Using Token and Sentence Embeddings—0
Structuring Scientific Innovation: A Framework for Modeling and Discovering Impactful Knowledge Combinations—0
AgentRxiv: Towards Collaborative Autonomous ResearchCode9
Offline Model-Based Optimization: Comprehensive ReviewCode1
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation—0
MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific ResearchCode1
Lessons from the trenches on evaluating machine-learning systems in materials science—0
SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models—0
Representation Retrieval Learning for Heterogeneous Data Integration—0
Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions—0
Accelerating Earth Science Discovery via Multi-Agent LLM Systems—0
Large Language Models for Zero-shot Inference of Causal Structures in Biology—0
Building Machine Learning Challenges for Anomaly Detection in Science—0
Enabling AI Scientists to Recognize Innovation: A Domain-Agnostic Algorithm for Assessing Novelty—0
Can Large Language Models Help Experimental Design for Causal Discovery?—0
BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational BiologyCode2
CS-PaperSum: A Large-Scale Dataset of AI-Generated Summaries for Scientific Papers—0
Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample CreationCode1
Towards an AI co-scientist—0
A Perspective on Symbolic Machine Learning in Physical Sciences—0
Auto-Bench: An Automated Benchmark for Scientific Discovery in LLMs—0
Protein Large Language Models: A Comprehensive SurveyCode2
InductionBench: LLMs Fail in the Simplest Complexity ClassCode1
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