Author

Xiang-Yu Peng

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#natural language process... Preprint Oct 2026

CoTrace: Data Recipes for Training Terminal Agents with Harness-Model Co-Evolution

Terminal-agent capability depends jointly on model weights and the runtime harness that formats prompts, binds tools, and handles error recovery. Existing harness-model co-evolution approaches improve both components, yet often treat trajectories produced during harness search as an undifferentiated replay buffer. This...

Ji-Xuan Chen, Jia-Xin Zhang, Qinyuan Ye et al. · 1 citation

#artificial intelligence Preprint Oct 2026

Prospective Hindsight: Self-Calibrating Reinforcement Learning via Prediction-Reality Gaps

Reinforcement learning for long-horizon agents relies on purely retrospective training signals: credit is assigned only after observing environmental consequences, leaving the agent's belief at action time invisible to the gradient. We introduce Prospective Hindsight (PH), a self-calibrating training principle that aug...

Jia-Xin Zhang, Xiang-Yu Peng, Qing-Lin Chen et al. · 0 citations