arXiv 2610.17953 · cs.CL · 2026-10-13
Agent-Reflex: Teaching Language Agents to Act Reflectively
Guanting Dong, Xinyu Yang, Jiajie Jin, Yuyang Hu, Xiaoshuai Song, Yifei Chen, Xiaoxi Li, Jiejun Tan and 4 more
NLPIR Lab @ RUC
In latest · #37 Added on 2026-10-21
One-line takeaway
Agent-Reflex trains agents in three stages to reflect proactively and recover when tool feedback is noisy or users intervene.
Agent-Reflex 分三阶段训练,让 Agent 在工具反馈有噪声或用户纠错时主动反思并恢复。
Read on arXiv PDF Hugging Face discussion Code
Topics & disciplines
More on Agents
- Raven: The Harness of Harnesses for Composable Agentic Intelligence ▲748
- False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents ▲642
- BizAgentBench: Unveiling Hidden Challenges in Deploying Long-Horizon Agents for Real-World Business ▲490
- Omni-IO Skills: Harnessing Your Agent Omni-Native ▲485
- Player-1: Learning to Play from Synthetic Experience ▲348
About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.