Better with Experience: Self-Evolving LLM Agents for Evidence-Grounded Health Community Notes
cs.CL, cs.SI
Submitted: 2026-06-01
Updated: 2026-10-12
Code: https://github.com/NanoNets/docstrange
Terminology
Sources
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
- Community-based fact-checking reduces the spread of misleading posts on social media
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models
- MemGPT: Towards LLMs as Operating Systems
- Zep: A Temporal Knowledge Graph Architecture for Agent Memory
- Collaboratively adding context to social media posts reduces the sharing of false news
- MedGemma Technical Report
- GitSearch: Enhancing Community Notes Generation with Gap-Informed Targeted Search
- Tongyi DeepResearch Technical Report
- RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
- Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
- Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation
- Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation
- Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
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