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A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans

Annual Meeting of the Association for Computational Linguistics (ACL), 2021

6 June 2021

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

22 / 22 papers shown

Title
The Dog the Cat Chased Stumped the Model: Measuring When Language Models Abandon Structure for Shortcuts Sangmitra Madhusudan Kaige Chen Ali Emami ELM LRM 88 0 0 23 Oct 2025
Do Large Language Models know who did what to whom? Joseph M. Denning Xiaohan Bryor Snefjella Idan A. Blank 483 2 0 23 Apr 2025
Signatures of human-like processing in Transformer forward passes Jennifer Hu Michael A. Lepori Michael Franke AI4CE 899 0 0 18 Apr 2025
Large Language Models Are Human-Like Internally Tatsuki Kuribayashi Yohei Oseki Souhaib Ben Taieb Kentaro Inui Timothy Baldwin 453 14 0 03 Feb 2025
What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and LengthNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Lindia Tjuatja Graham Neubig Tal Linzen Sophie Hao 291 6 0 04 Nov 2024
Bayesian Statistical Modeling with Predictors from LLMs Michael Franke Polina Tsvilodub Fausto Carcassi 152 7 0 13 Jun 2024
Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention Andrew Li Xianle Feng Siddhant Narang Austin Peng Tianle Cai Raj Sanjay Shah Sashank Varma LRM 144 6 0 25 May 2024
When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality Brielen Madureira Patrick Kahardipraja David Schlangen 158 2 0 20 Feb 2024
Predicting Human Translation Difficulty with Neural Machine Translation Zheng Wei Lim Ekaterina Vylomova Charles Kemp Trevor Cohn 171 1 0 19 Dec 2023
Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior? Aryaman Chobey Oliver Smith Anzi Wang Grusha Prasad 190 5 0 30 Nov 2023
Structural Priming Demonstrates Abstract Grammatical Representations in Multilingual Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 J. Michaelov Catherine Arnett Tyler A. Chang Benjamin Bergen 146 18 0 15 Nov 2023
Psychometric Predictive Power of Large Language Models Tatsuki Kuribayashi Yohei Oseki Timothy Baldwin LM&MA 205 7 0 13 Nov 2023
A Language Model with Limited Memory Capacity Captures Interference in Human Sentence ProcessingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 William Timkey Tal Linzen 123 25 0 24 Oct 2023
On the Challenges of Fully Incremental Neural Dependency ParsingInternational Joint Conference on Natural Language Processing (IJCNLP), 2023 Rafał Dreżewski Carlos Gómez-Rodríguez David Vilares CLL 231 2 0 28 Sep 2023
A Discerning Several Thousand Judgments: GPT-3 Rates the Article + Adjective + Numeral + Noun ConstructionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 Kyle Mahowald 264 29 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 228 228 0 16 Jan 2023
Probing for Incremental Parse States in Autoregressive Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Tiwalayo Eisape Vineet Gangireddy R. Levy Yoon Kim 165 16 0 17 Nov 2022
Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic AmbiguitiesConference on Computational Natural Language Learning (CoNLL), 2022 Suhas Arehalli Brian Dillon Tal Linzen 236 44 0 21 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and reviewNature Machine Intelligence (Nat. Mach. Intell.), 2022 Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Robert Bamler Zhijing Jin 504 128 0 06 Oct 2022
What Artificial Neural Networks Can Tell Us About Human Language Acquisition Alex Warstadt Samuel R. Bowman 209 133 0 17 Aug 2022
Testing the limits of natural language models for predicting human language judgmentsNature Machine Intelligence (Nat. Mach. Intell.), 2022 Tal Golan Matthew Siegelman N. Kriegeskorte Christopher A. Baldassano 201 20 0 07 Apr 2022
Neural reality of argument structure constructionsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Bai Li Zining Zhu Guillaume Thomas Frank Rudzicz Yang Xu 203 34 0 24 Feb 2022