5 papers
SciCodePile: A 128GB Corpus and Executable Benchmark for Challenging Scientific Code Generation
Weifeng Sun, Ye Fan, Yuchen Chen +6
Large language models (LLMs) excel at general-purpose code generation, yet how well they handle scientific code remains an open question. Existing datasets and benchmarks are limit…
SMT-AD: a scalable quantum-inspired anomaly detection approach
Apimuk Sornsaeng, Si Min Chan, Wenxuan Zhang +4
Quantum-inspired tensor networks algorithms have shown to be effective and efficient models for machine learning tasks, including anomaly detection. Here, we propose a highly paral…
Multi-Trait Subspace Steering to Reveal the Dark Side of Human-AI Interaction
Xin Wei Chia, Swee Liang Wong, Jonathan Pan
Recent incidents have highlighted alarming cases where human-AI interactions led to negative psychological outcomes, including mental health crises and even user harm. As LLMs serv…
Quantum Autoencoders for Anomaly Detection in Cybersecurity
Rohan Senthil, Swee Liang Wong
Anomaly detection in cybersecurity is a challenging task, where normal events far outnumber anomalous ones with new anomalies occurring frequently. Classical autoencoders have been…
Prompt Inject Detection with Generative Explanation as an Investigative Tool
Jonathan Pan, Swee Liang Wong, Yidi Yuan +1
Large Language Models (LLMs) are vulnerable to adversarial prompt based injects. These injects could jailbreak or exploit vulnerabilities within these models with explicit prompt r…