1 citations · 1 across the 3 of their papers we have counts for
3 papers
Hallucination Detection in Large Language Models Using Diversion Decoding
Basel Abdeen, S M Tahmid Siddiqui, Meah Tahmeed Ahmed +4
Large language models (LLMs) have emerged as a powerful tool for retrieving knowledge through seamless, human-like interactions. Despite their advanced text generation capabilities…
Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models
S M Tahmid Siddiqui, Akib Jawad Ononto, Anoop Singhal +1
Large language models (LLMs) have seen widespread adoption across various domains, yet their reliability is frequently undermined by hallucinations - responses that are plausible-s…
Data Poisoning and Leakage Analysis in Federated Learning
Wenqi Wei, Tiansheng Huang, Zachary Yahn +3
Data poisoning and leakage risks impede the massive deployment of federated learning in the real world. This chapter reveals the truths and pitfalls of understanding two dominating…