3.1k citations · 3.9k across the 15 of their papers we have counts for
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cs.AI2023★ 11 cited
The Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations
Vipula Rawte, Swagata Chakraborty, Agnibh Pathak +5
The recent advancements in Large Language Models (LLMs) have garnered widespread acclaim for their remarkable emerging capabilities. However, the issue of hallucination has paralle…
cs.CL2023★ 22 cited
Efficient Guided Generation for Large Language Models
Brandon T. Willard, Rémi Louf
In this article we show how the problem of neural text generation can be constructively reformulated in terms of transitions between the states of a finite-state machine. This fram…