From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents
Supervised fine-tuning (SFT) on long teacher trajectories is the dominant way to instill investigation and reasoning in open software-engineering (SWE) agents. Since every retained response becomes an imitation target, the student inherits the final outcome and intermediate flaws, including ungrounded leaps and redundant loops. High-quality training data must be effective(each step is grounded and narrows the agent's epistemic gap to the correct fix) and efficient(each step is information-bearing rather than redundant or looping). Existing recipes filter or relabel teacher rollouts using only a binary terminal verifier, which does not directly target these axes and provides no supervision...
| Authors | Murong Ma, Tianyu Chen, Yun Lin et al. |
|---|---|
| Primary category | cs.SE |
| Published | 21 May 2026 |
| Last updated at source | 21 May 2026 |
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