Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives

20 October 2023

Papers citing "Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives"

8 / 8 papers shown

Title
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models Chuhan Li Ziyao Shangguan Yilun Zhao Deyuan Li Y. Liu Arman Cohan 22 0 0 06 Nov 2024
Towards a Similarity-adjusted Surprisal Theory Clara Meister Mario Giulianelli Tiago Pimentel 22 2 0 23 Oct 2024
Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse Eleftheria Tsipidi Franz Nowak Ryan Cotterell Ethan Gotlieb Wilcox Mario Giulianelli Alex Warstadt 22 3 0 21 Oct 2024
Decomposition of surprisal: Unified computational model of ERP components in language processing Jiaxuan Li Richard Futrell 18 1 0 10 Sep 2024
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability Mario Giulianelli Joris Baan Wilker Aziz Raquel Fernández Barbara Plank UQLM 17 30 0 19 May 2023
Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities Suhas Arehalli Brian Dillon Tal Linzen 26 35 0 21 Oct 2022
A surprisal--duration trade-off across and within the world's languages Tiago Pimentel Clara Meister Elizabeth Salesky Simone Teufel Damián E. Blasi Ryan Cotterell LRM 109 29 0 30 Sep 2021
Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations Arabella J. Sinclair Jaap Jumelet Willem H. Zuidema Raquel Fernández 49 37 0 30 Sep 2021