activity
20172023
most citedCode Completion with Neural Attention and Pointer Networks

111 citations · 337 across the 18 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.SE2023★ 4 cited

RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair

Weishi Wang, Yue Wang, Shafiq Joty +1

Automatic program repair (APR) is crucial to reduce manual debugging efforts for developers and improve software reliability. While conventional search-based techniques typically r…

cs.CV2023★ 4 cited

Toward High Quality Facial Representation Learning

Yue Wang, Jinlong Peng, Jiangning Zhang +4

Face analysis tasks have a wide range of applications, but the universal facial representation has only been explored in a few works. In this paper, we explore high-performance pre…

cs.CL2023★ 15 cited

MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Yiran Wu, Feiran Jia, Shaokun Zhang +7

Employing Large Language Models (LLMs) to address mathematical problems is an intriguing research endeavor, considering the abundance of math problems expressed in natural language…

cs.SE2023★ 6 cited

CodeTF: One-stop Transformer Library for State-of-the-art Code LLMs

Nghi D. Q. Bui, Hung Le, Yue Wang +3

Code intelligence plays a key role in transforming modern software engineering. Recently, deep learning-based models, especially Transformer-based large language models (LLMs), hav…

cs.CL2023★ 28 cited

CodeT5+: Open Code Large Language Models for Code Understanding and Generation

Yue Wang, Hung Le, Akhilesh Deepak Gotmare +3

Large language models (LLMs) pretrained on vast source code have achieved prominent progress in code intelligence. However, existing code LLMs have two main limitations in terms of…

cs.CL2023

GE-Blender: Graph-Based Knowledge Enhancement for Blender

Xiaolei Lian, Xunzhu Tang, Yue Wang

Although the great success of open-domain dialogue generation, unseen entities can have a large impact on the dialogue generation task. It leads to performance degradation of the m…

cs.CV2023★ 3 cited

PaCaNet: A Study on CycleGAN with Transfer Learning for Diversifying Fused Chinese Painting and Calligraphy

Zuhao Yang, Huajun Bai, Zhang Luo +5

AI-Generated Content (AIGC) has recently gained a surge in popularity, powered by its high efficiency and consistency in production, and its capability of being customized and dive…