RAAC Controller Fixes Stagnation in Deep Research Agents
_reachsumit · x · 2026-08-18
Research reveals that Deep Research Agents often suffer from reasoning stagnation, continuing searches long after finding useful information. The paper introduces a Retrieval-Aware Agent Controller (RAAC) that uses unsupervised signals like search novelty to guide agent decisions. RAAC reduces search calls and improves accuracy on benchmarks like BrowseComp-Plus.
More from coding & agent
- Google Open Sources SAM: Infrastructure for Agent P2P Networks — rakyll · 2026-08-18
- Your coding agent keeps stepping on the same rake: how to make lessons persist across sessions — madsthines · 2026-08-18
- Build an AI Agent to predict deployment incidents with a complete hands-on guide — Pavan_Belagatti · 2026-08-18
- Why Agent Guardrails Fail in Multi-Agent Orchestration Chains — Dry-Presentation9814 · 2026-08-18
- LLMs retry by default and can hammer MCP servers to death — a rate-limiting walkthrough — pjausovec · 2026-08-18
- Sub8 adds a local password manager for Grok bots — secrets never touch the cloud — Daniel_Farinax · 2026-08-18