awesome-llm-agents-scientific-discovery
github.com/zhoujieli/awesome-llm-agents-scientific-discovery ↗A curated list of LLM powered AI Agents in Biomedical Research. Medical Image Analysis, Multi-omics Genomics Analysis, Biomedical Scientific Discoveries...
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Foundations & VisionCore TechnologiesScientific Process AutomationDomain ApplicationsEvaluation & BenchmarkingSurveys & Reviews
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Evaluation & Benchmarking
- AgentBench: Evaluating LLMs as AgentsGeneral Benchmarks
- Benchmarking large language models as ai research agentsGeneral Benchmarks
- BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical ScienceDomain-Specific Benchmarks
- ChatEval: Towards Better LLM-based Evaluators through Multi-Agent DebateGeneral Benchmarks
- GenoTEX: A Benchmark for Evaluating LLM-Based Exploration of Gene Expression DataDomain-Specific Benchmarks
- IdeaBench: Benchmarking Large Language Models for Research Idea GenerationDomain-Specific Benchmarks
Domain Applications
- AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environmentsHealthcare & Medicine
- Agent Hospital: A Simulacrum of Hospital with Evolvable Medical AgentsHealthcare & Medicine
- AIPatient: Simulating Patients with EHRs and LLM Powered Agentic WorkflowHealthcare & Medicine
- An LLM Agent for Automatic Geospatial Data AnalysisEarth & Environmental Sciences
- A review of large language models and autonomous agents in chemistryChemistry & Materials Science
- Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic DiagnosisHealthcare & Medicine
Surveys & Reviews
- AI for Biomedicine in the Era of Large Language ModelsDomain-Specific Reviews
- A survey on LLM-based multi-agent systems: workflow, infrastructure, and challengesComprehensive Surveys
- A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future DirectionsDomain-Specific Reviews
- From LLMs to LLM-based Agents for Software Engineering: A SurveyDomain-Specific Reviews
- Large language model based multi-agents: A survey of progress and challengesComprehensive Surveys
- Scientific discovery in the age of artificial intelligenceComprehensive Surveys
Foundations & Vision
- Artificial Intelligence to Win the Nobel Prize and Beyond: Creating the Engine for Scientific DiscoveryVision Papers
- Emergent autonomous scientific research capabilities of large language modelsVision Papers
- Nobel Turing Challenge: Creating the Engine for Scientific DiscoveryVision Papers
- The AI Scientist: Towards Fully Automated Open-ended Scientific DiscoveryVision Papers
- The future of fundamental science led by generative closed-loop artificial intelligenceVision Papers
- What is missing in autonomous discovery: open challenges for the communityVision Papers
Core Technologies
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation FrameworkMulti-Agent Systems & Architectures
- CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyMulti-Agent Systems & Architectures
- Dynamic LLM-Agent Network: An LLM-Agent Collaboration Framework with Agent Team OptimizationMulti-Agent Systems & Architectures
- Graph of Thoughts: Solving Elaborate Problems with Large Language ModelsReasoning & Knowledge Systems
- Improving Factuality and Reasoning in Language Models through Multiagent DebateReasoning & Knowledge Systems
- KnowAgent: Knowledge-augmented Planning for LLM-based AgentsReasoning & Knowledge Systems
Scientific Process Automation
- AutoSurvey: Large Language Models Can Automatically Write SurveysResearch Planning & Literature Review
- DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery AgentsExperimental Design & Workflow
- Genesis: Towards the Automation of Systems Biology ResearchExperimental Design & Workflow
- ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language ModelsResearch Planning & Literature Review
- SciMon: Scientific Inspiration Machines Optimized for NoveltyResearch Planning & Literature Review
Showing a sample of 55 resources. View the full list on GitHub →