On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior

2 June 2020

Papers citing "On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior"

31 / 31 papers shown

Title
Model Connectomes: A Generational Approach to Data-Efficient Language Models Klemen Kotar Greta Tuckute 54 0 0 29 Apr 2025
Do Large Language Models know who did what to whom? Joseph M. Denning Xiaohan Bryor Snefjella Idan A. Blank 62 1 0 23 Apr 2025
Signatures of human-like processing in Transformer forward passes Jennifer Hu Michael A. Lepori Michael Franke AI4CE 180 0 0 18 Apr 2025
Pretraining Language Models for Diachronic Linguistic Change Discovery Elisabeth Fittschen Sabrina Li Tom Lippincott Leshem Choshen Craig Messner 28 0 0 07 Apr 2025
Large Language Models Are Human-Like Internally Tatsuki Kuribayashi Yohei Oseki Souhaib Ben Taieb Kentaro Inui Timothy Baldwin 71 4 0 03 Feb 2025
On the Role of Context in Reading Time Prediction Andreas Opedal Eleanor Chodroff Ryan Cotterell Ethan Gotlieb Wilcox 33 7 0 12 Sep 2024
Large Language Models are Biased Because They Are Large Language Models Philip Resnik 24 8 0 19 Jun 2024
Language models emulate certain cognitive profiles: An investigation of how predictability measures interact with individual differences Patrick Haller Lena S. Bolliger Lena Ann Jäger 42 1 0 07 Jun 2024
Filtered Corpus Training (FiCT) Shows that Language Models can Generalize from Indirect Evidence Abhinav Patil Jaap Jumelet Yu Ying Chiu Andy Lapastora Peter Shen Lexie Wang Clevis Willrich Shane Steinert-Threlkeld 35 13 0 24 May 2024
Towards a Path Dependent Account of Category Fluency David Heineman Reba Koenen Sashank Varma 29 0 0 09 May 2024
Quantifying the redundancy between prosody and text Lukas Wolf Tiago Pimentel Evelina Fedorenko Ryan Cotterell Alex Warstadt Ethan Gotlieb Wilcox Tamar I. Regev 33 10 0 28 Nov 2023
Temperature-scaling surprisal estimates improve fit to human reading times -- but does it do so for the "right reasons"? Tong Liu Iza vSkrjanec Vera Demberg 48 5 0 15 Nov 2023
Words, Subwords, and Morphemes: What Really Matters in the Surprisal-Reading Time Relationship? Sathvik Nair Philip Resnik 30 10 0 26 Oct 2023
Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives Mario Giulianelli Sarenne Wallbridge Raquel Fernández 30 13 0 20 Oct 2023
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes Chengxu Zhuang Evelina Fedorenko Jacob Andreas 22 10 0 20 Oct 2023
Testing the Predictions of Surprisal Theory in 11 Languages Ethan Gotlieb Wilcox Tiago Pimentel Clara Meister Ryan Cotterell R. Levy LRM 52 63 0 07 Jul 2023
A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models Karin de Langis Dongyeop Kang 21 1 0 19 Dec 2022
A unified information-theoretic model of EEG signatures of human language processing Jiaxuan Li Richard Futrell 14 1 0 16 Dec 2022
On the Effect of Anticipation on Reading Times Tiago Pimentel Clara Meister Ethan Gotlieb Wilcox R. Levy Ryan Cotterell 45 18 0 25 Nov 2022
Probing for Incremental Parse States in Autoregressive Language Models Tiwalayo Eisape Vineet Gangireddy R. Levy Yoon Kim 25 11 0 17 Nov 2022
Composition, Attention, or Both? Ryosuke Yoshida Yohei Oseki CoGe 29 0 0 24 Oct 2022
Memory in humans and deep language models: Linking hypotheses for model augmentation Omri Raccah Pheobe Chen Ted Willke David Poeppel Vy A. Vo RALM 23 1 0 04 Oct 2022
Language models show human-like content effects on reasoning tasks Ishita Dasgupta Andrew Kyle Lampinen Stephanie C. Y. Chan Hannah R. Sheahan Antonia Creswell D. Kumaran James L. McClelland Felix Hill ReLM LRM 30 181 0 14 Jul 2022
On the probability-quality paradox in language generation Clara Meister Gian Wiher Tiago Pimentel Ryan Cotterell 30 14 0 31 Mar 2022
Language Models Explain Word Reading Times Better Than Empirical Predictability M. Hofmann Steffen Remus Chris Biemann R. Radach L. Kuchinke 38 29 0 02 Feb 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 119 29 0 30 Sep 2021
Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars Ryo Yoshida Hiroshi Noji Yohei Oseki 34 8 0 10 Sep 2021
Different kinds of cognitive plausibility: why are transformers better than RNNs at predicting N400 amplitude? J. Michaelov Megan D. Bardolph S. Coulson Benjamin Bergen 18 22 0 20 Jul 2021
Can Transformer Language Models Predict Psychometric Properties? Antonio Laverghetta Animesh Nighojkar Jamshidbek Mirzakhalov John Licato LM&MA 38 14 0 12 Jun 2021
Refining Targeted Syntactic Evaluation of Language Models Benjamin Newman Kai-Siang Ang Julia Gong John Hewitt 29 43 0 19 Apr 2021
Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling Sophie Hao S. Mendelsohn Rachel Sterneck Randi Martinez Robert Frank 13 46 0 08 Sep 2020