Testing the limits of natural language models for predicting human language judgments

7 April 2022

Papers citing "Testing the limits of natural language models for predicting human language judgments"

7 / 7 papers shown

Title
Visual cognition in multimodal large language models Luca M. Schulze Buschoff Elif Akata Matthias Bethge Eric Schulz LRM 49 2 0 27 Nov 2023
Large language models can segment narrative events similarly to humans Sebastian Michelmann Manoj Kumar K. A. Norman Mariya Toneva 11 15 0 24 Jan 2023
Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments Tal Golan Wenxuan Guo Heiko H. Schutt N. Kriegeskorte CVBM 6 4 0 28 Nov 2022
Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities Suhas Arehalli Brian Dillon Tal Linzen 23 35 0 21 Oct 2022
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations Mostafa Abdou Vinit Ravishankar Maria Barrett Yonatan Belinkov Desmond Elliott Anders Søgaard ReLM LRM 42 33 0 04 May 2020
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 233 909 0 21 Apr 2018
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