Analyzing Wrap-Up Effects through an Information-Theoretic Lens

v1v2 (latest)

Analyzing Wrap-Up Effects through an Information-Theoretic Lens

Annual Meeting of the Association for Computational Linguistics (ACL), 2022

31 March 2022

ArXiv (abs)PDF HTML

Papers citing "Analyzing Wrap-Up Effects through an Information-Theoretic Lens"

5 / 5 papers shown

Title
Large Language Models Are Human-Like Internally Tatsuki Kuribayashi Yohei Oseki Souhaib Ben Taieb Kentaro Inui Timothy Baldwin 345 10 0 03 Feb 2025
Psychometric Predictive Power of Large Language Models Tatsuki Kuribayashi Yohei Oseki Timothy Baldwin LM&MA 181 5 0 13 Nov 2023
Measuring Information in Text Explanations Zining Zhu Frank Rudzicz FAtt 124 0 0 06 Oct 2023
On the Effect of Anticipation on Reading TimesTransactions of the Association for Computational Linguistics (TACL), 2022 Tiago Pimentel Clara Meister Ethan Gotlieb Wilcox R. Levy Robert Bamler 210 31 0 25 Nov 2022
MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model ScoreConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Sunjae Kwon Zonghai Yao H. Jordan David Levy Brian Corner Hong-ye Yu 129 22 0 12 Oct 2022