most citedA Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models

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cs.SE2026

Independent Patch Verification for Coding Agents with a Bidirectional Reconstruct-and-Verify Framework

Chenglin Li, Yisen Xu, Zehao Wang +3

Autonomous coding agents powered by large language models can now generate code patches directly from bug reports, but a fundamental gap remains: once a patch is produced, no mecha…

cs.SE2026

Turning Interaction History into Execution State: A Runtime Layer for Long-Horizon Coding Agents

Zehao Wang, Yisen Xu, Chenglin Li +5

Long-horizon coding agents accumulate hundreds of actions and observations in their trajectories, yet nothing in this record indicates which observations still describe the reposit…

cs.SE2026

Preventing Premature Commitment in Coding Agents with an Evidence-Conditioned Execution Layer

Yisen Xu, Chenglin Li, Zehao Wang +2

LLM-based coding agents often edit source code or submit patches before examining enough repository evidence to justify the change, a failure pattern we call premature commitment.…

cs.SE2026

Towards Evaluation Engineering: An Empirical Study of ML Evaluation Harnesses in the Wild

Zhimin Zhao, Zehao Wang, Abdul Ali Bangash +2

Evaluation harnesses are software systems that orchestrate model evaluation by managing model invocation, data loading, metric computation, and result reporting. Despite their crit…

cs.SE2026

Probe to Generate: Program Variant-Guided Test Augmentation for Repository-Level Repair Benchmarks

Chenglin Li, Yisen Xu, Zehao Wang +3

Test-based benchmarks such as SWE-bench have become a standard basis for evaluating automated issue resolution agents, deeming a patch correct if it passes a provided regression te…

cs.SE2026

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair

Chenglin Li, Yisen Xu, Zehao Wang +3

Repository-level automated program repair (APR) requires long-horizon reasoning over interdependent decisions. However, most LLM-based approaches reconstruct repair reasoning indep…