DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search
cs.AI, cs.CE
Submitted: 2025-07-10
Updated: 2026-10-06
Code: https://github.com/yaoge777/DrugMCTS-tool
Terminology
Sources
- Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
- MolCap-Arena: A Comprehensive Captioning Benchmark on Language-Enhanced Molecular Property Prediction
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- GPT-4o System Card
- RAG-Enhanced Collaborative LLM Agents for Drug Discovery
- Alpha-SQL: Zero-Shot Text-to-SQL using Monte Carlo Tree Search
- Lost in the Middle: How Language Models Use Long Contexts
- DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration
- Does RAG Really Perform Bad For Long-Context Processing?
- Toward Understanding Catastrophic Forgetting in Continual Learning
- LLM Agent Swarm for Hypothesis-Driven Drug Discovery
- Qwen2.5 Technical Report
- Self-Consistency Improves Chain of Thought Reasoning in Language Models
- Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials
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