Xuemei Gao — accepted AI-conference papers

2026

Improving Code Localization with Repository Memory

Boshi Wang, Weijian Xu, Yunsheng Li, Xuemei Gao, Yujia Xie, Huan Sun +1

ICLR 2026poster

Code localization is a fundamental challenge in repository-level software engineering tasks such as bug fixing. While existing methods equip language agents with comprehensive tools/interfaces to fetch information from the repository, they overlook the critical aspect of *memory*, where each instanc…

Cited by 0 Source ↗Scholar ↗

2024

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu +13

NAACL 2024findings

The convergence of text, visual, and audio data is crucial towards human-like artificial intelligence, however the current Vision-Language-Speech landscape is dominated by encoder-only models that lack generative abilities. We propose closing this gap with i-Code V2, one of the first models capable…

Cited by 3 Source ↗PDF ↗Scholar ↗