2 citations · 2 across the 8 of their papers we have counts for
8 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…
The Cognitive Circuit Breaker: A Systems Engineering Framework for Intrinsic AI Reliability
Jonathan Pan
As Large Language Models (LLMs) are increasingly deployed in mission-critical software systems, detecting hallucinations and ``faked truthfulness'' has become a paramount engineeri…
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…
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…
Audio Simulation for Sound Source Localization in Virtual Evironment
Yi Di Yuan, Swee Liang Wong, Jonathan Pan
Non-line-of-sight localization in signal-deprived environments is a challenging yet pertinent problem. Acoustic methods in such predominantly indoor scenarios encounter difficulty…
Enhancing Reasoning Capacity of SLM using Cognitive Enhancement
Jonathan Pan, Swee Liang Wong, Xin Wei Chia +1
Large Language Models (LLMs) have been applied to automate cyber security activities and processes including cyber investigation and digital forensics. However, the use of such mod…
RAGLog: Log Anomaly Detection using Retrieval Augmented Generation
Jonathan Pan, Swee Liang Wong, Yidi Yuan
The ability to detect log anomalies from system logs is a vital activity needed to ensure cyber resiliency of systems. It is applied for fault identification or facilitate cyber in…