Author

Leitian Tao

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#artificial intelligence Preprint Sep 2026

ExecCritic: Learn to Test, Test to Improve for Coding Agents

This work introduces ExecCritic, combining a test--verify--revise scaffold with a role-specific reinforcement learning recipe for training agents within it, separating test construction from source-code repair.

Leitian Tao, Bao-Lin Peng, Hao-Rui Wang et al. · 0 citations

Preprint Jul 2026

TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents

On long-horizon complex search, TRACE substantially improves base-model tool-use ability using pure RL, without a cold-start supervised fine-tuning stage, an agentic mid-training stage, or training on live-web data.

Leitian Tao, Baolin Peng, Wenlin Yao et al. · 4 citations