Showing cs.CLShow all
2 papers · 1 filter
cs.CL2026
Not All That Is Fluent Is Factual: Investigating Hallucinations of Large Language Models in Academic Writing
Humam Khan, Md Tabrez Nafis, Shahab Saquib Sohail +2
Large Language models (LLMs) show extraordinary abilities, but they are still prone to hallucinations, especially when we use them for generating Academic content. We have investig…
cs.CL2024
From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility
Pravneet Kaur, Gautam Siddharth Kashyap, Ankit Kumar +3
This groundbreaking study explores the expanse of Large Language Models (LLMs), such as Generative Pre-Trained Transformer (GPT) and Bidirectional Encoder Representations from Tran…