2 citations · 2 across the 3 of their papers we have counts for
3 papers · 1 filter
Embedding Semantic Entropy: NLI-Free Semantic Uncertainty Estimation with Geometry-Aware Clustering
Akshiya Raveendran, Praveenasarma Baskarakurukkal, Pragatheeswaran Vipulanandan +2
Large Language Models (LLMs) often generate fluent yet incorrect responses, making un- certainty estimation important for reliable deployment. Semantic Entropy (SE) estimates uncer…
Rarity of Singletons Matters & Supplementary Materials
Pragatheeswaran Vipulanandan, Kamal Premaratne, Dilip Sarkar
Estimating missing-mass and unseen-species counts from finite samples relies heavily on rare-event occupancy statistics, particularly singletons. In small-sample regimes, these sta…
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…