5 papers
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…
Graph-Aware Fuzzing for Graph Database Management Systems
Yu Li, Qiang Hu, Yao Zhang +4
Graph Database Management Systems (GDBMSs) are essential infrastructure for managing interconnected data. Existing GDBMS testing methods primarily rely on differential and metamorp…
SemFuzz: A Semantics-Aware Fuzzing Framework for Network Protocol Implementations
Yanbang Sun, Quan Luo, Yuelin Wang +6
Network protocols are the foundation of modern communication, yet their implementations often contain semantic vulnerabilities stemming from inadequate understanding of specificati…
Variation is the Key: A Variation-Based Framework for LLM-Generated Text Detection
Xuecong Li, Xiaohong Li, Qiang Hu +2
Detecting text generated by large language models (LLMs) is crucial but challenging. Existing detectors depend on impractical assumptions, such as white-box settings, or solely rel…
Explore-Construct-Filter: An Automated Framework for Rich and Reliable API Knowledge Graph Construction
Yanbang Sun, Qing Huang, Xiaoxue Ren +3
The API Knowledge Graph (API KG) is a structured network that models API entities and their relations, providing essential semantic insights for tasks such as API recommendation, c…