2 citations · 2 across the 5 of their papers we have counts for
5 papers
Semantic Step Prediction: Multi-Step Latent Forecasting in LLM Reasoning Trajectories via Step Sampling
Yidi Yuan
Semantic Tube Prediction (STP) leverages representation geometric to regularize LLM hidden-state trajectories toward locally linear geodesics during fine-tuning, thereby greatly im…
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…