technique

Research Gap Inference

techniqueactiveprovisionalresearch-gap-inference-79478858·1 events·first seen 8d ago

Aliases: Research Gap Inference

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Rishabh Sabharwal Multi-Turn Evaluation of Deep Research Agents Under Process-Level Feedback

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6arXiv · cs.CL·8d ago·source ↗

Multi-turn evaluation reveals deep research agents fail to compound gains from process-level feedback

A new arXiv paper evaluates deep research agents (DRAs) across multiple feedback turns, comparing self-reflection against process-level feedback via a novel method called Research Gap Inference (RGI). Key findings: self-reflection yields negligible net improvement, one round of process-level feedback raises normalized scores by 8-15 points (~35-40% incorporation rate), but gains do not compound across turns as agents regress on up to 24% of previously satisfied criteria. The results suggest reliable multi-turn improvement remains out of reach for current DRA architectures, highlighting a fundamental limitation in iterative agentic research workflows.

Evaluation and Benchmarking Agent and Tool Ecosystem Rishabh Sabharwal Research Gap Inference Multi-Turn Evaluation of Deep Research Agents Under Process-Level Feedback