#search agents
4 papers match
Harness-G: A Graph-Structured Harness for Search Agents
Yanning Hou, Haoyuan Chen, Sihang Zhou +7
The paper introduces Harness-G, a graph-structured retrieval framework that turns free-form query generation into finite action selection for reinforcement learning search agents a…
DeepStress: Stress-Testing Deep Search Agents
Ismael Rousseau, Geraldine Damnati, Frederic Bechet
The paper introduces DeepStress, a framework that injects controlled low‑quality evidence into the retrieval component of deep search agents to evaluate how well they handle unreli…
STAMP: Provenance-Guided Credit Assignment for Deep Search Agents
Ke Xu, Han Xu, Xinran Chen +6
The paper presents STAMP, a method that assigns credit to individual actions of deep search agents by verifying whether retrieved documents support evidence in a training-time grap…
Boolean queries are all you need?
Charles L. A. Clarke, Mark D. Smucker
The paper evaluates an LLM‑driven search agent that relies solely on a Boolean retrieval engine to rank documents in the MS MARCO V2.1 collection, achieving competitive NDCG@10 sco…