activity
20222026
most citedNatural Attack for Pre-trained Models of Code

163 citations · 302 across the 32 of their papers we have counts for

collaborators
Showing 2025Show all

8 papers · 1 filter

cs.SE2025

LLM-as-a-Judge for Software Engineering: Literature Review, Vision, and the Road Ahead

Junda He, Jieke Shi, Terry Yue Zhuo +5

The rapid integration of Large Language Models (LLMs) into software engineering (SE) has revolutionized tasks like code generation, producing a massive volume of software artifacts…

cs.SE2025

Curiosity-Driven Testing for Sequential Decision-Making Process

Junda He, Zhou Yang, Jieke Shi +5

Sequential decision-making processes (SDPs) are fundamental for complex real-world challenges, such as autonomous driving, robotic control, and traffic management. While recent adv…

cs.SE2025★ 2 cited

Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks

Xing Hu, Feifei Niu, Junkai Chen +5

Large language models (LLMs) are gaining increasing popularity in software engineering (SE) due to their unprecedented performance across various applications. These models are inc…

cs.SE2025

Artificial Intelligence for Software Architecture: Literature Review and the Road Ahead

Alessio Bucaioni, Martin Weyssow, Junda He +2

Artificial intelligence is increasingly applied across software engineering, yet its explicit role in software architecture remains insufficiently understood. Architectural practic…

cs.SE2025

From Code to Courtroom: LLMs as the New Software Judges

Junda He, Jieke Shi, Terry Yue Zhuo +5

Recently, Large Language Models (LLMs) have been increasingly used to automate SE tasks such as code generation and summarization. However, evaluating the quality of LLM-generated…

cs.SE2025

Identifying and Mitigating API Misuse in Large Language Models

Terry Yue Zhuo, Junda He, Jiamou Sun +4

API misuse in code generated by large language models (LLMs) presents a serious and growing challenge in software development, as although LLMs demonstrate impressive code generati…

cs.SE2025★ 3 cited

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks

Xin Zhou, Martin Weyssow, Ratnadira Widyasari +7

Large Language Models (LLMs) are widely utilized in software engineering (SE) tasks, such as code generation and automated program repair. However, their reliance on extensive and…

cs.SE2025★ 1 cited

A Functional Software Reference Architecture for LLM-Integrated Systems

Alessio Bucaioni, Martin Weyssow, Junda He +2

The integration of large language models into software systems is transforming capabilities such as natural language understanding, decision-making, and autonomous task execution.…