What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability

19 May 2023

Papers citing "What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability"

8 / 8 papers shown

Title
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals? Marcio Fonseca Shay B. Cohen 39 10 0 18 Jan 2024
How Far Can We Extract Diverse Perspectives from Large Language Models? Shirley Anugrah Hayati Minhwa Lee Dheeraj Rajagopal Dongyeop Kang 38 10 0 16 Nov 2023
Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives Mario Giulianelli Sarenne Wallbridge Raquel Fernández 25 13 0 20 Oct 2023
Stop Measuring Calibration When Humans Disagree Joris Baan Wilker Aziz Barbara Plank Raquel Fernández 16 53 0 28 Oct 2022
On the Limitations of Reference-Free Evaluations of Generated Text Daniel Deutsch Rotem Dror Dan Roth 32 45 0 22 Oct 2022
Locally Typical Sampling Clara Meister Tiago Pimentel Gian Wiher Ryan Cotterell 138 86 0 01 Feb 2022
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 243 289 0 17 Mar 2020