Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems

1 July 2021

Papers citing "Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems"

26 / 26 papers shown

Title
Knowing More About Questions Can Help: Improving Calibration in Question Answering Shujian Zhang Chengyue Gong Eunsol Choi UQLM 84 58 0 02 Jun 2021
Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks Ting-Yun Chang Yang Liu Karthik Gopalakrishnan Behnam Hedayatnia Pei Zhou Dilek Z. Hakkani-Tür ReLM AI4MH LRM 59 37 0 12 May 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 286 185 0 18 Apr 2021
Improving and Simplifying Pattern Exploiting Training Derek Tam Rakesh R Menon Joey Tianyi Zhou Shashank Srivastava Colin Raffel 74 151 0 22 Mar 2021
How Many Data Points is a Prompt Worth? Teven Le Scao Alexander M. Rush VLM 157 302 0 15 Mar 2021
Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar Nora Kassner Shauli Ravfogel Abhilasha Ravichander Eduard H. Hovy Hinrich Schütze Yoav Goldberg HILM 329 368 0 01 Feb 2021
Selective Classification Can Magnify Disparities Across Groups Erik Jones Shiori Sagawa Pang Wei Koh Ananya Kumar Percy Liang 88 47 0 27 Oct 2020
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs Jena D. Hwang Chandra Bhagavatula Ronan Le Bras Jeff Da Keisuke Sakaguchi Antoine Bosselut Yejin Choi 75 411 0 12 Oct 2020
Open-Domain Question Answering Goes Conversational via Question Rewriting R. Anantha Svitlana Vakulenko Zhucheng Tu Shayne Longpre S. Pulman Srinivas Chappidi LRM 61 171 0 10 Oct 2020
'Less Than One'-Shot Learning: Learning N Classes From M<N Samples Ilia Sucholutsky Matthias Schonlau VLM 106 43 0 17 Sep 2020
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners Timo Schick Hinrich Schütze 130 974 0 15 Sep 2020
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning Tao Shen Yi Mao Pengcheng He Guodong Long Adam Trischler Weizhu Chen 64 63 0 29 Apr 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 296 301 0 17 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 348 1,617 0 21 Jan 2020
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization Jingqing Zhang Yao-Min Zhao Mohammad Saleh Peter J. Liu RALM 3DGS 288 2,050 0 18 Dec 2019
How Can We Know What Language Models Know? Zhengbao Jiang Frank F. Xu Jun Araki Graham Neubig KELM 138 1,409 0 28 Nov 2019
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning Pradeep Dasigi Nelson F. Liu Ana Marasović Noah A. Smith Matt Gardner RALM 73 174 0 16 Aug 2019
Dataset Distillation Tongzhou Wang Jun-Yan Zhu Antonio Torralba Alexei A. Efros DD 81 297 0 27 Nov 2018
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge Alon Talmor Jonathan Herzig Nicholas Lourie Jonathan Berant RALM 142 1,744 0 02 Nov 2018
Dialogue Natural Language Inference Sean Welleck Jason Weston Arthur Szlam Kyunghyun Cho HILM 79 252 0 01 Nov 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 99 811 0 21 May 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 120 882 0 26 Nov 2017
Selective Classification for Deep Neural Networks Yonatan Geifman Ran El-Yaniv CVBM 95 529 0 23 May 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 524 4,492 0 18 Apr 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 166 3,468 0 07 Oct 2016
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 321 4,293 0 21 Aug 2015