activity
20242026
collaborators

5 papers

cs.SE2026

A Unified Issue Resolution Benchmark for Requirement Clarification, Planning, and Code Generation for Coding Agents

Xin Zhou, Chun Yong Chong, Kisub Kim +11

Large language model-powered coding agents are increasingly used to modify existing code repositories, for example, by adding features or fixing bugs. Yet existing repository-level…

cs.SE2025

iCodeReviewer: Improving Secure Code Review with Mixture of Prompts

Yun Peng, Kisub Kim, Linghan Meng +1

Code review is an essential process to ensure the quality of software that identifies potential software issues at an early stage of software development. Among all software issues…

cs.SE2025

An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks

Xin Zhou, Kisub Kim, Ting Zhang +6

Large Language Models (LLMs) and other automated techniques have been increasingly used to support software developers by generating software artifacts such as code snippets, patch…

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.SE2024

Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models

Martin Weyssow, Xin Zhou, Kisub Kim +2

Large language models (LLMs) demonstrate impressive capabilities to generate accurate code snippets given natural language intents in a zero-shot manner, i.e., without the need for…