Llm Reliability And Uncertainty Quantification: Research Area — Prolific Citations Library

Discover 1 peer-reviewed study in Llm Reliability And Uncertainty Quantification (2024). Explore research findings powered by Prolific's diverse participant panel.

This page lists 1 peer-reviewed paper in the research area of Llm Reliability And Uncertainty Quantification in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty

Authors: K Zhou,JD Hwang, X Ren,M Sap

Year: 2024

Published in: ArXiv

Institution: Allen Institute for AI, Carnegie Mellon University, Stanford University, University of Southern California

Research Area: LLM Reliability and Uncertainty Quantification, Reinforcement Learning from Human Feedback (RLHF), LLM

Discipline: Artificial Intelligence