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Yun-Fei Zhang

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Preprint Aug 2026

LongRCA Bench: Root-Cause Localization in Long-Horizon Agent Trajectories

This work proposes Root-Cause Trajectory Attribution (RCTA), a training-free method that organizes original candidate records and explicit handoff instructions for attribution that reaches 24.1% exact root-step accuracy and 51.1% responsible-role accuracy.

Yun-Fei Zhang, Bo-Yu Feng, Chang-Hua Pei et al. · 2 citations
#artificial intelligence Preprint Sep 2026

RobustSGPO: Search-Space Control for Agent Harness Evolution

This work introduces RobustSGPO, which specifies the requested edit, constructs and checks the patch, and continues search from either the incumbent or retained snapshots, and reduces source-task degradation after a shift, whereas random retention reaches a higher destination endpoint.

Zi-Bo Zhao, Ji-Jun Shi, Mo-Qing Zhou et al. · 1 citation
Preprint Aug 2026

L ONG RCA B ENCH : D IAGNOSING R ESPONSIBLE R OLES AND R OOT C AUSES IN L ONG -H ORIZON A GENT F AILURES

This work introduces LongRCA Bench, comprising 1,140 failed trajectories across five domains without injected errors, and presents Root-Cause Trajectory Attribution (RCTA), a training-free method that retrieves candidate error steps from segment summaries and traces them to available earlier handoff instructions.

Yun-Fei Zhang, Bo-Yu Feng, Changhua Pei et al. · 1 citation

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