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Yao Ma

2 papers indexed

arxivcs.SEcs.AI2026-07-22

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization

Ryan Deng, Yuanzhe Liu, Bastian Lipka, Yao Ma, Xuhao Chen, Tim Kaler, et al.

Large language model (LLM) agents now perform well on correctness-oriented repository-level tasks, including SWE-Bench issue resolution and feature implementation in real codebases. However, they still struggle with repository-level code optimization, which requires preserving be…

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arxivcs.CLcs.CVcs.IRcs.MM2026-06-30

Identifying and Resolving Pitfalls of Knowledge-Based VQA Benchmarks: Auditing, Repairing, and Augmenting

Qian Ma, S M Rayeed, Charles V. Stewart, Qiong Wu, Yao Ma

Knowledge-Based Visual Question Answering (KB-VQA) aims to evaluate whether Visual Language Models (VLMs) can retrieve, ground, and reason over external structured knowledge beyond visual evidence. In practice, answer accuracy is widely adopted as the primary evaluation metric, i…

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