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Yun-Xuan Han

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Open access Jul 2026

A Systematic Evaluation of Trajectory Data Curation for LoRA Fine-Tuning of Code Agents

A systematic empirical study of trajectory data filtering for LoRA fine-tuning of Qwen2.5-Coder-7B-Instruct on the SWE-trajectory dataset and a two-axis quality scoring framework are presented, establishing trajectory-level quality scoring as a viable but scale-sensitive lever for code-agent SFT.

Yun-Xuan Han · 1 citation

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