Scaling up Discovery of Latent Concepts in Deep NLP Models

20 August 2023

Papers citing "Scaling up Discovery of Latent Concepts in Deep NLP Models"

7 / 7 papers shown

Title
Latent Concept-based Explanation of NLP Models Xuemin Yu Fahim Dalvi Nadir Durrani Marzia Nouri Hassan Sajjad LRM FAtt 19 1 0 18 Apr 2024
Can LLMs facilitate interpretation of pre-trained language models? Basel Mousi Nadir Durrani Fahim Dalvi 30 12 0 22 May 2023
Beyond Prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations Yu Fei Ping Nie Zhao Meng Roger Wattenhofer Mrinmaya Sachan VLM 35 20 0 29 Oct 2022
On the Transformation of Latent Space in Fine-Tuned NLP Models Nadir Durrani Hassan Sajjad Fahim Dalvi Firoj Alam 27 17 0 23 Oct 2022
Topic Modeling with Contextualized Word Representation Clusters Laure Thompson David M. Mimno 92 82 0 23 Oct 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
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 29,632 0 16 Jan 2013