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Human Sentence Processing: Recurrence or Attention?

19 May 2020

Papers citing "Human Sentence Processing: Recurrence or Attention?"

23 / 23 papers shown

Title
Surprisal from Larger Transformer-based Language Models Predicts fMRI Data More Poorly Yi-Chien Lin William Schuler 18 0 0 12 Jun 2025
Do Large Language Models know who did what to whom? Joseph M. Denning Xiaohan Bryor Snefjella Idan A. Blank 286 1 0 23 Apr 2025
Large Language Models Are Human-Like Internally Tatsuki Kuribayashi Yohei Oseki Souhaib Ben Taieb Kentaro Inui Timothy Baldwin 195 5 0 03 Feb 2025
Are words equally surprising in audio and audio-visual comprehension? Pranava Madhyastha Ye Zhang G. Vigliocco 29 1 0 14 Jul 2023
Transformer-Based Language Model Surprisal Predicts Human Reading Times Best with About Two Billion Training Tokens Byung-Doh Oh William Schuler 115 31 0 22 Apr 2023
Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times? Byung-Doh Oh William Schuler 62 115 0 23 Dec 2022
Entropy- and Distance-Based Predictors From GPT-2 Attention Patterns Predict Reading Times Over and Above GPT-2 Surprisal Byung-Doh Oh William Schuler 59 21 0 21 Dec 2022
Rarely a problem? Language models exhibit inverse scaling in their predictions following few-type quantifiers J. Michaelov Benjamin Bergen 46 17 0 16 Dec 2022
Collateral facilitation in humans and language models J. Michaelov Benjamin Bergen 118 11 0 09 Nov 2022
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection Adam Wiemerslage Shiran Dudy Katharina Kann 99 4 0 22 Oct 2022
Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence models Patrick Haller Andreas Säuberli Sarah Elisabeth Kiener Jinger Pan Ming Yan Lena Jäger 96 14 0 18 Oct 2022
Construction Repetition Reduces Information Rate in Dialogue Mario Giulianelli Arabella J. Sinclair Raquel Fernández 68 7 0 15 Oct 2022
Do language models make human-like predictions about the coreferents of Italian anaphoric zero pronouns? J. Michaelov Benjamin Bergen 42 6 0 30 Aug 2022
Context Limitations Make Neural Language Models More Human-Like Tatsuki Kuribayashi Yohei Oseki Ana Brassard Kentaro Inui 92 31 0 23 May 2022
Predicting Human Psychometric Properties Using Computational Language Models Antonio Laverghetta Animesh Nighojkar Jamshidbek Mirzakhalov John Licato 64 9 0 12 May 2022
Continuous-Time Audiovisual Fusion with Recurrence vs. Attention for In-The-Wild Affect Recognition Vincent Karas M. Tellamekala Adria Mallol-Ragolta Michel Valstar Björn W. Schuller 94 13 0 24 Mar 2022
minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models Kanishka Misra 95 63 0 24 Mar 2022
Measuring the Impact of (Psycho-)Linguistic and Readability Features and Their Spill Over Effects on the Prediction of Eye Movement Patterns Daniel Wiechmann Yu Qiao E. Kerz Justus Mattern 45 14 0 15 Mar 2022
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models Goro Kobayashi Tatsuki Kuribayashi Sho Yokoi Kentaro Inui 240 49 0 15 Sep 2021
Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars Ryo Yoshida Hiroshi Noji Yohei Oseki 86 9 0 10 Sep 2021
So Cloze yet so Far: N400 Amplitude is Better Predicted by Distributional Information than Human Predictability Judgements J. Michaelov S. Coulson Benjamin Bergen 73 44 0 02 Sep 2021
Can Transformer Language Models Predict Psychometric Properties? Antonio Laverghetta Animesh Nighojkar Jamshidbek Mirzakhalov John Licato LM&MA 71 14 0 12 Jun 2021
Lower Perplexity is Not Always Human-Like Tatsuki Kuribayashi Yohei Oseki Takumi Ito Ryo Yoshida Masayuki Asahara Kentaro Inui 68 77 0 02 Jun 2021