A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans

6 June 2021

Papers citing "A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans"

11 / 11 papers shown

Title
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 174 0 0 18 Apr 2025
What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length Lindia Tjuatja Graham Neubig Tal Linzen Sophie Hao 44 1 0 04 Nov 2024
Structural Priming Demonstrates Abstract Grammatical Representations in Multilingual Language Models J. Michaelov Catherine Arnett Tyler A. Chang Benjamin Bergen 36 12 0 15 Nov 2023
A Discerning Several Thousand Judgments: GPT-3 Rates the Article + Adjective + Numeral + Noun Construction Kyle Mahowald 22 24 0 29 Jan 2023
Dissociating language and thought in large language models Kyle Mahowald Anna A. Ivanova I. Blank Nancy Kanwisher J. Tenenbaum Evelina Fedorenko ELM ReLM 29 209 0 16 Jan 2023
Probing for Incremental Parse States in Autoregressive Language Models Tiwalayo Eisape Vineet Gangireddy R. Levy Yoon Kim 25 11 0 17 Nov 2022
Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities Suhas Arehalli Brian Dillon Tal Linzen 34 36 0 21 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 121 94 0 06 Oct 2022
Testing the limits of natural language models for predicting human language judgments Tal Golan Matthew Siegelman N. Kriegeskorte Christopher A. Baldassano 22 15 0 07 Apr 2022
Neural reality of argument structure constructions Bai Li Zining Zhu Guillaume Thomas Frank Rudzicz Yang Xu 46 26 0 24 Feb 2022