920 citations · 2k across the 70 of their papers we have counts for
19 papers · 1 filter
Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness
Vipula Rawte, Prachi Priya, S. M Towhidul Islam Tonmoy +3
As Large Language Models (LLMs) have advanced, they have brought forth new challenges, with one of the prominent issues being LLM hallucination. While various mitigation techniques…
A Survey of Hallucination in Large Foundation Models
Vipula Rawte, Amit Sheth, Amitava Das
Hallucination in a foundation model (FM) refers to the generation of content that strays from factual reality or includes fabricated information. This survey paper provides an exte…
A Comprehensive Survey on Rare Event Prediction
Chathurangi Shyalika, Ruwan Wickramarachchi, Amit Sheth
Rare event prediction involves identifying and forecasting events with a low probability using machine learning (ML) and data analysis. Due to the imbalanced data distributions, wh…
Knowledge-based Entity Prediction for Improved Machine Perception in Autonomous Systems
Ruwan Wickramarachchi, Cory Henson, Amit Sheth
Knowledge-based entity prediction (KEP) is a novel task that aims to improve machine perception in autonomous systems. KEP leverages relational knowledge from heterogeneous sources…
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning
Utkarshani Jaimini, Amit Sheth
Humans use causality and hypothetical retrospection in their daily decision-making, planning, and understanding of life events. The human mind, while retrospecting a given situatio…
Knowledge-intensive Language Understanding for Explainable AI
Amit Sheth, Manas Gaur, Kaushik Roy +1
AI systems have seen significant adoption in various domains. At the same time, further adoption in some domains is hindered by inability to fully trust an AI system that it will n…