50 citations · 65 across the 18 of their papers we have counts for
4 papers · 1 filter
Embedding Graph Kernel Entropy (EGKE): Fine-grained Hallucination Detection for LLMs from Embeddings
Dilrangi Sankalpana, Pragatheeswaran Vipulanandan, Uthayasanker Thayasivam +1
Hallucination detection is critical for ensuring the reliability of Large Language Models (LLMs) in real-world deployments. While recent works, such as Semantic Entropy (SE) and Ke…
Pushing the Boundaries of Interpretability: Incremental Enhancements to the Explainable Boosting Machine
Isara Liyanage, Uthayasanker Thayasivam
The widespread adoption of complex machine learning models in high-stakes domains has brought the "black-box" problem to the forefront of responsible AI research. This paper aims a…
TS2Vec-Ensemble: An Enhanced Self-Supervised Framework for Time Series Forecasting
Ganeshan Niroshan, Uthayasanker Thayasivam
Self-supervised representation learning, particularly through contrastive methods like TS2Vec, has advanced the analysis of time series data. However, these models often falter in…
Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning
Haritha Jayasinghe, Tarindu Jayatilaka, Ravin Gunawardena +1
The rapid growth of ride-hailing platforms has created a highly competitive market where businesses struggle to make profits, demanding the need for better operational strategies.…