Harness-G Tackles Retrieval Aliasing in Search Agents

Harness-G is a graph-structured retrieval framework that solves the retrieval equivalence collapse in RL search agents by reformulating the retrieval process as a finite action selection problem on a graph.

2026-07-31 ~ 2026-07-31 · 2 related posts

• Harness-G: Reformulating Search Agent Retrieval as Finite Action Selection on Graphs — _reachsumit · 2026-07-31
• Harness-G: Graph-Structured Retrieval Framework Cuts Retrieval Aliasing, Beats Graph-R1 by 10.7 F1 — Yanning Hou · 2026-07-31