Papers by Yazhe Chen

1 papers
SWE-AGILE: A Software Agent Framework for Efficiently Managing Dynamic Reasoning Context (2026.findings-acl)

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Challenge: representative ReAct-style approaches lack explicit System-2 reasoning for deep analysis and handling complex edge cases.
Approach: They propose a software agent framework that preserves full reasoning history while compressing historical reasoning content into concise Reasoning Digests.
Outcome: Empirically, the proposed framework sets a new standard for 7B-8B models on SWE-Bench-Verified using only 2.2k trajectories and 896 tasks.

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