13 papers
SLBench: Evaluating How LLM Agents Follow Logical Relations in Skills
Xuan Chen, Chengpeng Wang, Lu Yan +1
Agent skills extend LLM agents with reusable procedures, tools, and domain-specific workflows, but their safety depends on resolving dependencies among interacting instructions. We…
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…
BugScope: Learn to Find Bugs Like Human
Jinyao Guo, Chengpeng Wang, Dominic Deluca +3
Software auditing is an increasingly critical task in the era of rapid code generation. While LLM-based auditors have demonstrated strong potential, their effectiveness remains lim…
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…
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…
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…