Enhancing Interpretability using Human Similarity Judgements to Prune Word Embeddings

16 October 2023

Papers citing "Enhancing Interpretability using Human Similarity Judgements to Prune Word Embeddings"

6 / 6 papers shown

Title
Model Connectomes: A Generational Approach to Data-Efficient Language Models Klemen Kotar Greta Tuckute 42 0 0 29 Apr 2025
Explaining Human Comparisons using Alignment-Importance Heatmaps Nhut Truong Dario Pesenti Uri Hasson 23 0 0 08 Sep 2024
Leveraging a Cognitive Model to Measure Subjective Similarity of Human and GPT-4 Written Content Tyler Malloy Maria José Ferreira Fei Fang Cleotilde Gonzalez 16 1 0 30 Aug 2024
Identifying and interpreting non-aligned human conceptual representations using language modeling Wanqian Bao Uri Hasson 46 0 0 10 Mar 2024
Training Debiased Subnetworks with Contrastive Weight Pruning Geon Yeong Park Sangmin Lee Sang Wan Lee Jong Chul Ye CML 30 13 0 11 Oct 2022
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,150 0 16 Jan 2013