Jun-Chen Lu

Are Reasoning Traces Faithful in LLM-Based Code Vulnerability Detection?

Reasoning traces generated by large language models (LLMs) provide interpretability by exposing the factors that purportedly support their predictions. Such interpretability is important because model decisions may rely on spurious factors, and it can help practitioners identify such reliance and respond appropriately....