3 papers
cs.LG2026
Do Uncertainty Signals Help? A Systematic Study of Uncertainty-Aware Decoding with Rollback Mechanisms
Xianzong Wu, Xiaohong Li, Yuejun Guo +4
Prediction uncertainty is a widely adopted metric for quantifying model confidence, with downstream applications spanning model explanation, data selection, and prediction rollback…
cs.AI2025
UncertaintyZoo: A Unified Toolkit for Quantifying Predictive Uncertainty in Deep Learning Systems
Xianzong Wu, Xiaohong Li, Lili Quan +1
Large language models(LLMs) are increasingly expanding their real-world applications across domains, e.g., question answering, autonomous driving, and automatic software developmen…
cs.CR2025
Aligning Core Aspects: Improving Vulnerability Proof-of-Concepts via Cross-Source Insights
Lingxiao Wang, Wenjing Dang, Mengyao Zhang +3
For vulnerabilities, Proof-of-Concept (PoC) plays an irreplaceable role in demonstrating the exploitability. PoC reports may include critical information such as specific usage, te…