collaborators

9 papers

cs.LG2026

CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents

Mingwei Zheng, David OBrien, Siwei Cui +4

LLM coding agents operate by constructing trajectories that accumulate reasoning, tool calls, and results to enable multi-step decision-making. However, the conventional append-onl…

cs.SE2026

Raw Pointer Rewriting with LLMs for Translating C to Safer Rust

Yifei Gao, Chengpeng Wang, Pengxiang Huang +3

There has been a growing interest in translating C code to Rust due to Rust's robust memory and thread safety guarantees. Tools such as C2RUST enable syntax-guided transpilation fr…

cs.PL2026

NESA: Relational Neuro-Symbolic Static Program Analysis

Chengpeng Wang, Yifei Gao, Wuqi Zhang +5

Static program analysis plays an essential role in program optimization, bug detection, and debugging. However, reliance on compilation and limited customization hinder its adoptio…

cs.CR2026

Identifying Adversary Tactics and Techniques in Malware Binaries with an LLM Agent

Zhou Xuan, Xiangzhe Xu, Mingwei Zheng +6

Understanding TTPs (Tactics, Techniques, and Procedures) in malware binaries is essential for security analysis and threat intelligence, yet remains challenging in practice. Real-w…

cs.SE2026

CoRe: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks

Danning Xie, Mingwei Zheng, Xuwei Liu +4

Large language models (LLMs) have been widely adopted across diverse domains of software engineering, such as code generation, program repair, and vulnerability detection. These ap…

cs.SE2025

TAI3: Testing Agent Integrity in Interpreting User Intent

Shiwei Feng, Xiangzhe Xu, Xuan Chen +5

LLM agents are increasingly deployed to automate real-world tasks by invoking APIs through natural language instructions. While powerful, they often suffer from misinterpretation o…