activity
20202024
most citedUnveiling Memorization in Code Models

41 citations · 65 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2024

PTM4Tag+: Tag Recommendation of Stack Overflow Posts with Pre-trained Models

Junda He, Bowen Xu, Zhou Yang +5

Stack Overflow is one of the most influential Software Question & Answer (SQA) websites, hosting millions of programming-related questions and answers. Tags play a critical role in…

cs.SE2023★ 3 cited

Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models

Zhou Yang, Zhipeng Zhao, Chenyu Wang +4

Given large-scale source code datasets available in open-source projects and advanced large language models, recent code models have been proposed to address a series of critical s…

cs.SE2023★ 41 cited

Unveiling Memorization in Code Models

Zhou Yang, Zhipeng Zhao, Chenyu Wang +4

The availability of large-scale datasets, advanced architectures, and powerful computational resources have led to effective code models that automate diverse software engineering…

cs.IR2023★ 17 cited

Alleviating the Long-Tail Problem in Conversational Recommender Systems

Zhipeng Zhao, Kun Zhou, Xiaolei Wang +4

Conversational recommender systems (CRS) aim to provide the recommendation service via natural language conversations. To develop an effective CRS, high-quality CRS datasets are ve…

cs.CR2023★ 2 cited

Multi-Granularity Detector for Vulnerability Fixes

Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang +9

With the increasing reliance on Open Source Software, users are exposed to third-party library vulnerabilities. Software Composition Analysis (SCA) tools have been created to alert…

cs.SE2023★ 1 cited

CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports

Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang +5

Tools that alert developers about library vulnerabilities depend on accurate, up-to-date vulnerability databases which are maintained by security researchers. These databases recor…

cs.CL2020★ 1 cited

Self-attention Comparison Module for Boosting Performance on Retrieval-based Open-Domain Dialog Systems

Tian Lan, Xian-Ling Mao, Zhipeng Zhao +2

Since the pre-trained language models are widely used, retrieval-based open-domain dialog systems, have attracted considerable attention from researchers recently. Most of the prev…