5 papers
VEX-Bench: Benchmarking LLM Agents for Assessing Exploitability of Software Supply Chain Vulnerabilities
Jiahao Shi, Edward Tsien, Yifeng Di +10
The software supply chain has become an increasingly exposed attack surface because of its reliance on intricate yet fragile dependencies. Existing defenses such as GitHub Dependab…
TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMs
Yifeng Di, Xuliang Huang, Tianyi Zhang
Data contamination is a known threat to the reliability of model evaluation. However, it remains underexplored in code large language models (LLMs), where contamination often goes…
Mango: Multi-Agent Web Navigation via Global-View Optimization
Weixi Tong, Yifeng Di, Tianyi Zhang
Existing web agents typically initiate exploration from the root URL, which is inefficient for complex websites with deep hierarchical structures. Without a global view of the webs…
Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
Yifeng Di, Tianyi Zhang
Large Language Models (LLMs) have demonstrated unprecedented capability in code generation. However, LLM-generated code is still plagued with a wide range of functional errors, esp…
Software Entity Recognition with Noise-Robust Learning
Tai Nguyen, Yifeng Di, Joohan Lee +2
Recognizing software entities such as library names from free-form text is essential to enable many software engineering (SE) technologies, such as traceability link recovery, auto…