activity
20222024
most citedCopiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair

104 citations · 150 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2024

Arctic-SnowCoder: Demystifying High-Quality Data in Code Pretraining

Yuxiang Wei, Hojae Han, Rajhans Samdani

Recent studies have been increasingly demonstrating that high-quality data is crucial for effective pretraining of language models. However, the precise definition of "high-quality…

cs.CV2024

VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models

Yabo Zhang, Yuxiang Wei, Xianhui Lin +5

Text-to-image diffusion models (T2I) have demonstrated unprecedented capabilities in creating realistic and aesthetic images. On the contrary, text-to-video diffusion models (T2V)…

cs.CV2024

PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis

Zhengyao Lv, Yuxiang Wei, Wangmeng Zuo +1

Recent advancements in large-scale pre-trained text-to-image models have led to remarkable progress in semantic image synthesis. Nevertheless, synthesizing high-quality images with…

q-bio.QM2024

A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data

Yuxiang Wei, Yuqian Chen, Tengfei Xue +6

Large datasets often contain multiple distinct feature sets, or views, that offer complementary information that can be exploited by multi-view learning methods to improve results.…

cs.CV2023

Improving Image Restoration through Removing Degradations in Textual Representations

Jingbo Lin, Zhilu Zhang, Yuxiang Wei +3

In this paper, we introduce a new perspective for improving image restoration by removing degradation in the textual representations of a given degraded image. Intuitively, restora…

cs.SE2023104 cited

Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair

Yuxiang Wei, Chunqiu Steven Xia, Lingming Zhang

During Automated Program Repair (APR), it can be challenging to synthesize correct patches for real-world systems in general-purpose programming languages. Recent Large Language Mo…