Cover Image

Better with Experience: Self-Evolving LLM Agents for Evidence-Grounded Health Community Notes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fu, Zihang, Li, Fanxiao, Gu, Jianyang, Wang, Haonan, Nakov, Preslav, Hooi, Bryan, Kan, Min-Yen, Wu, Jiaying
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation
by: Wu, Jiaying, et al.
Published: (2025)

Seeing Through Deception: Uncovering Misleading Creator Intent in Multimodal News with Vision-Language Models
by: Wu, Jiaying, et al.
Published: (2025)

FlowSteer: Prompt-Only Workflow Steering Exposes Planning-Time Vulnerabilities in Multi-Agent LLM Systems
by: Li, Fanxiao, et al.
Published: (2026)

The Facade of Truth: Uncovering and Mitigating LLM Susceptibility to Deceptive Evidence
by: Wan, Herun, et al.
Published: (2026)

Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections
by: Yang, Xianglin, et al.
Published: (2026)

Grounding Fallacies Misrepresenting Scientific Publications in Evidence
by: Glockner, Max, et al.
Published: (2024)

TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning
by: Lu, Xinyuan, et al.
Published: (2024)

Conversation for Non-verifiable Learning: Self-Evolving LLMs through Meta-Evaluation
by: Sui, Yuan, et al.
Published: (2026)

What's Left Unsaid? Detecting and Correcting Misleading Omissions in Multimodal News Previews
by: Li, Fanxiao, et al.
Published: (2026)

APEX: Autonomous Policy Exploration for Self-Evolving LLM Agents
by: Li, Yibo, et al.
Published: (2026)

Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
by: Wu, Jiaying, et al.
Published: (2023)

CMIE: Combining MLLM Insights with External Evidence for Explainable Out-of-Context Misinformation Detection
by: Li, Fanxiao, et al.
Published: (2025)

Fast or Better? Balancing Accuracy and Cost in Retrieval-Augmented Generation with Flexible User Control
by: Su, Jinyan, et al.
Published: (2025)

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle
by: Wu, Rong, et al.
Published: (2025)

Arabic Dataset for LLM Safeguard Evaluation
by: Ashraf, Yasser, et al.
Published: (2024)

SkyLadder: Better and Faster Pretraining via Context Window Scheduling
by: Zhu, Tongyao, et al.
Published: (2025)

GitSearch: Enhancing Community Notes Generation with Gap-Informed Targeted Search
by: Singh, Sahajpreet, et al.
Published: (2026)

Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
by: Gong, Shuzhi, et al.
Published: (2026)

Reasoning Resides in Layers: Restoring Temporal Reasoning in Video-Language Models with Layer-Selective Merging
by: Fu, Zihang, et al.
Published: (2026)

Enhancing Multi-Agent Debate System Performance via Confidence Expression
by: Lin, Zijie, et al.
Published: (2025)

HALF: Harm-Aware LLM Fairness Evaluation Aligned with Deployment
by: Mekky, Ali, et al.
Published: (2025)

ConfTuner: Training Large Language Models to Express Their Confidence Verbally
by: Li, Yibo, et al.
Published: (2025)

Beyond "Not Novel Enough": Enriching Scholarly Critique with LLM-Assisted Feedback
by: Afzal, Osama Mohammed, et al.
Published: (2025)

DUAL-Bench: Measuring Over-Refusal and Robustness in Vision-Language Models
by: Ren, Kaixuan, et al.
Published: (2025)

From Chaos to Clarity: Claim Normalization to Empower Fact-Checking
by: Sundriyal, Megha, et al.
Published: (2023)

Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition
by: Alhindi, Tariq, et al.
Published: (2023)

Rethinking STS and NLI in Large Language Models
by: Wang, Yuxia, et al.
Published: (2023)

CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings
by: Orel, Daniil, et al.
Published: (2025)

DenoiseRank: Learning to Rank by Diffusion Models
by: Wang, Ying, et al.
Published: (2026)

Adapting Fake News Detection to the Era of Large Language Models
by: Su, Jinyan, et al.
Published: (2023)

Corpus Poisoning via Approximate Greedy Gradient Descent
by: Su, Jinyan, et al.
Published: (2024)

Can Code Outlove Blood? An LLM-based VR Experience to Prompt Reflection on Parental Verbal Abuse
by: Fu, Jiaying, et al.
Published: (2025)

DocEdit-v2: Document Structure Editing Via Multimodal LLM Grounding
by: Suri, Manan, et al.
Published: (2024)

EXG: Self-Evolving Agents with Experience Graphs
by: Jin, Yuxin, et al.
Published: (2026)

Health-ORSC-Bench: A Benchmark for Measuring Over-Refusal and Safety Completion in Health Context
by: Zhang, Zhihao, et al.
Published: (2026)

Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection
by: Li, Fanxiao, et al.
Published: (2025)

EVE-Agent: Evidence-Verifiable Self-Evolving Agents
by: Arai, Yamato, et al.
Published: (2026)

UnsafeChain: Enhancing Reasoning Model Safety via Hard Cases
by: Tomar, Raj Vardhan, et al.
Published: (2025)

How Does Prefix Matter in Reasoning Model Tuning?
by: Tomar, Raj Vardhan, et al.
Published: (2026)

ClinNoteAgents: An LLM Multi-Agent System for Predicting and Interpreting Heart Failure 30-Day Readmission from Clinical Notes
by: Zhou, Rongjia, et al.
Published: (2025)