Preprint
Aug 2026
EviSD: Evidence-Conditioned Self-Distillation for Search-Augmented Agents
EviSD is proposed, an evidence-conditioned self-distillation framework that uses instance-level supporting evidence as privileged information for search actions and golden answers as complementary privilege for answer actions, and achieves the highest macro-average Exact Match in all evaluated settings.
Jianan Xie, Xin Sun, Zhongqi Chen et al.
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