activity
20202023
most citedLeveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning

53 citations · 99 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023★ 15 cited

PolyLM: An Open Source Polyglot Large Language Model

Xiangpeng Wei, Haoran Wei, Huan Lin +15

Large language models (LLMs) demonstrate remarkable ability to comprehend, reason, and generate following nature language instructions. However, the development of LLMs has been pr…

eess.IV2023★ 14 cited

A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis

Jiaxiang Liu, Tianxiang Hu, Yan Zhang +3

Zero-shot medical image classification is a critical process in real-world scenarios where we have limited access to all possible diseases or large-scale annotated data. It involve…

cs.SE2022★ 16 cited

Low-Resources Project-Specific Code Summarization

Rui Xie, Tianxiang Hu, Wei Ye +1

Code summarization generates brief natural language descriptions of source code pieces, which can assist developers in understanding code and reduce documentation workload. Recent…

cs.CL2022★ 1 cited

WCL-BBCD: A Contrastive Learning and Knowledge Graph Approach to Named Entity Recognition

Renjie Zhou, Qiang Hu, Jian Wan +4

Named Entity Recognition task is one of the core tasks of information extraction. Word ambiguity and word abbreviation are important reasons for the low recognition rate of named e…

cs.IR2020★ 53 cited

Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning

Wei Ye, Rui Xie, Jinglei Zhang +3

Code summarization generates brief natural language description given a source code snippet, while code retrieval fetches relevant source code given a natural language query. Since…