activity
20222025
most citedPoison Attack and Defense on Deep Source Code Processing Models

15 citations · 47 across the 9 of their papers we have counts for

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18 papers · 1 filter

cs.SE20251 cited

PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing

Yuwei Zhang, Zhi Jin, Ying Xing +5

Bug fixing holds significant importance in software development and maintenance. Recent research has made substantial strides in exploring the potential of large language models (L…

cs.SE2023

ZC3: Zero-Shot Cross-Language Code Clone Detection

Jia Li, Chongyang Tao, Zhi Jin +2

Developers introduce code clones to improve programming productivity. Many existing studies have achieved impressive performance in monolingual code clone detection. However, durin…

cs.SE2023

Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models

Yuqi Zhu, Jia Li, Ge Li +3

Recently, Large Language Models (LLMs) have shown impressive abilities in code generation. However, existing LLMs' decoding strategies are designed for Natural Language (NL) genera…

cs.SE2023

STEAM: Simulating the InTeractive BEhavior of ProgrAMmers for Automatic Bug Fixing

Yuwei Zhang, Zhi Jin, Ying Xing +1

Bug fixing holds significant importance in software development and maintenance. Recent research has made notable progress in exploring the potential of large language models (LLMs…

cs.SE2023

Automated Static Warning Identification via Path-based Semantic Representation

Yuwei Zhang, Ying Xing, Ge Li +1

Despite their ability to aid developers in detecting potential defects early in the software development life cycle, static analysis tools often suffer from precision issues (i.e.,…

cs.SE2023

WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised Learning

Zhuo Li, Huangzhao Zhang, Zhi Jin +1

Bug localization, which is used to help programmers identify the location of bugs in source code, is an essential task in software development. Researchers have already made effort…