Large GPT-like Models are Bad Babies: A Closer Look at the Relationship between Linguistic Competence and Psycholinguistic Measures

8 November 2023

Papers citing "Large GPT-like Models are Bad Babies: A Closer Look at the Relationship between Linguistic Competence and Psycholinguistic Measures"

8 / 8 papers shown

Title
Model Connectomes: A Generational Approach to Data-Efficient Language Models Klemen Kotar Greta Tuckute 40 0 0 29 Apr 2025
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis Fuzhao Xue Yao Fu Wangchunshu Zhou Zangwei Zheng Yang You 79 74 0 22 May 2023
Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities Suhas Arehalli Brian Dillon Tal Linzen 26 35 0 21 Oct 2022
Context Limitations Make Neural Language Models More Human-Like Tatsuki Kuribayashi Yohei Oseki Ana Brassard Kentaro Inui 39 28 0 23 May 2022
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation Ofir Press Noah A. Smith M. Lewis 237 690 0 27 Aug 2021
Shortformer: Better Language Modeling using Shorter Inputs Ofir Press Noah A. Smith M. Lewis 213 87 0 31 Dec 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 223 4,424 0 23 Jan 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018