Papers by Yanzhen Zou

1 papers
SoRFT: Issue Resolving with Subtask-oriented Reinforced Fine-Tuning (2025.acl-long)

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Challenge: Existing issue-resolving frameworks rely on commercial models, leading to high costs and privacy concerns.
Approach: They propose a training approach to enhance issue resolving capability of LLMs by decomposing issue reasolving into subtasks.
Outcome: The proposed approach improves issue-resolving performance and generalizes model . it is cost-effective and provides a cost-efficient alternative to commercial models .

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