SOAR: source-aware RL cuts search-agent evidence fabrication by 74.8%
_reachsumit · x · 2026-10-12
- The SOAR paper tackles evidence fabrication in RL for search agents, where agents bypass retrieved evidence and fabricate answers by over-relying on unreliable internal knowledge.
- Method: a Source-Aware Workflow splits reasoning into parallel, observable external-evidence and internal-knowledge streams, plus a Source-Consistent Reward that rewards source-consistent reasoning for precise credit assignment.
- Results: outperforms baselines on 3B and 7B backbones by 7.3% and 5.4%, while reducing evidence fabrication by 74.8%, yielding more faithful reasoning on knowledge-intensive benchmarks.
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