Symbolic Knowledge Distillation: from General Language Models to
Commonsense Models

Symbolic Knowledge Distillation: from General Language Models to Commonsense Models

14 October 2021

Chandrasekhar Bhagavatula

Yejin Choi

Papers citing "Symbolic Knowledge Distillation: from General Language Models to Commonsense Models"

9 / 59 papers shown

Title
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation Alisa Liu Swabha Swayamdipta Noah A. Smith Yejin Choi 30 212 0 16 Jan 2022
Reframing Human-AI Collaboration for Generating Free-Text Explanations Sarah Wiegreffe Jack Hessel Swabha Swayamdipta Mark O. Riedl Yejin Choi 16 142 0 16 Dec 2021
Refined Commonsense Knowledge from Large-Scale Web Contents Tuan-Phong Nguyen Simon Razniewski Julien Romero G. Weikum 20 32 0 30 Nov 2021
Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs Peter Hase Mona T. Diab Asli Celikyilmaz Xian Li Zornitsa Kozareva Veselin Stoyanov Mohit Bansal Srini Iyer KELM LRM 17 79 0 26 Nov 2021
Guided Generation of Cause and Effect Zhongyang Li Xiao Ding Ting Liu J. E. Hu Benjamin Van Durme 155 78 0 21 Jul 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,835 0 18 Apr 2021
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 209 315 0 04 Mar 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 406 2,576 0 03 Sep 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 235 319 0 21 Aug 2019