BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

24 May 2019

Papers citing "BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions"

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Title
What are the best systems? New perspectives on NLP Benchmarking Pierre Colombo Nathan Noiry Ekhine Irurozki Stephan Clémençon 199 42 0 08 Feb 2022
Co-training Improves Prompt-based Learning for Large Language Models Hunter Lang Monica Agrawal Yoon Kim David Sontag VLM LRM 213 41 0 02 Feb 2022
Describing Differences between Text Distributions with Natural Language Ruiqi Zhong Charles Burton Snell Dan Klein Jacob Steinhardt VLM 196 44 0 28 Jan 2022
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model Shaden Smith M. Patwary Brandon Norick P. LeGresley Samyam Rajbhandari ... Mohammad Shoeybi Yuxiong He Michael Houston Saurabh Tiwary Bryan Catanzaro MoE 165 744 0 28 Jan 2022
Unified Question Generation with Continual Lifelong Learning Wei Yuan Hongzhi Yin Tieke He Tong Chen Qiufeng Wang Li-zhen Cui 98 11 0 24 Jan 2022
Instance-aware Prompt Learning for Language Understanding and Generation Feihu Jin Jinliang Lu Jiajun Zhang Chengqing Zong 57 33 0 18 Jan 2022
RuMedBench: A Russian Medical Language Understanding Benchmark Pavel Blinov A. Reshetnikova A. Nesterov Galina Zubkova V. Kokh ELM 69 15 0 17 Jan 2022
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation Alisa Liu Swabha Swayamdipta Noah A. Smith Yejin Choi 189 221 0 16 Jan 2022
CRASS: A Novel Data Set and Benchmark to Test Counterfactual Reasoning of Large Language Models Jorg Frohberg Frank Binder SLR 126 30 0 22 Dec 2021
Efficient Large Scale Language Modeling with Mixtures of Experts Mikel Artetxe Shruti Bhosale Naman Goyal Todor Mihaylov Myle Ott ... Jeff Wang Luke Zettlemoyer Mona T. Diab Zornitsa Kozareva Ves Stoyanov MoE 231 201 0 20 Dec 2021
An Empirical Investigation of the Role of Pre-training in Lifelong Learning Sanket Vaibhav Mehta Darshan Patil Sarath Chandar Emma Strubell CLL 148 145 0 16 Dec 2021
Do Answers to Boolean Questions Need Explanations? Yes Sara Rosenthal Mihaela A. Bornea Avirup Sil Radu Florian Scott McCarley 60 4 0 14 Dec 2021
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts Nan Du Yanping Huang Andrew M. Dai Simon Tong Dmitry Lepikhin ... Kun Zhang Quoc V. Le Yonghui Wu Zhiwen Chen Claire Cui ALM MoE 266 832 0 13 Dec 2021
VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction Dan Li Yang Yang Hongyin Tang Jingang Wang Tong Xu Wei Wu Enhong Chen 55 9 0 08 Dec 2021
MetaQA: Combining Expert Agents for Multi-Skill Question Answering Haritz Puerto Gözde Gül Sahin Iryna Gurevych LLMAG 105 21 0 03 Dec 2021
How not to Lie with a Benchmark: Rearranging NLP Leaderboards Tatiana Shavrina Valentin Malykh ALM ELM 505 12 0 02 Dec 2021
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning V. Aribandi Yi Tay Tal Schuster J. Rao H. Zheng ... Jianmo Ni Jai Gupta Kai Hui Sebastian Ruder Donald Metzler MoE 123 216 0 22 Nov 2021
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing Pengcheng He Jianfeng Gao Weizhu Chen 225 1,212 0 18 Nov 2021
An AI-based Solution for Enhancing Delivery of Digital Learning for Future Teachers Yong-Bin Kang A. Forkan Prem Prakash Jayaraman Natalie Wieland Elizabeth Kollias Hung Du Steven Thomson Yuan-Fang Li 48 0 0 09 Nov 2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey Bonan Min Hayley L Ross Elior Sulem Amir Pouran Ben Veyseh Thien Huu Nguyen Oscar Sainz Eneko Agirre Ilana Heinz Dan Roth LM&MA VLM AI4CE 189 1,094 0 01 Nov 2021
MetaICL: Learning to Learn In Context Sewon Min M. Lewis Luke Zettlemoyer Hannaneh Hajishirzi LRM 248 492 0 29 Oct 2021
Coherence boosting: When your pretrained language model is not paying enough attention Nikolay Malkin Zhen Wang Nebojsa Jojic RALM 72 37 0 15 Oct 2021
MixQG: Neural Question Generation with Mixed Answer Types Lidiya Murakhovs'ka Chien-Sheng Wu Philippe Laban Tong Niu Wenhao Liu Caiming Xiong 86 48 0 15 Oct 2021
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Cer VLM LRM 214 290 0 15 Oct 2021
Exploring Universal Intrinsic Task Subspace via Prompt Tuning Yujia Qin Xiaozhi Wang Yusheng Su Yankai Lin Ning Ding ... Juanzi Li Lei Hou Peng Li Maosong Sun Jie Zhou VLM VPVLM 188 29 0 15 Oct 2021
A Few More Examples May Be Worth Billions of Parameters Yuval Kirstain Patrick Lewis Sebastian Riedel Omer Levy 121 21 0 08 Oct 2021
Perhaps PTLMs Should Go to School -- A Task to Assess Open Book and Closed Book QA Manuel R. Ciosici Joe Cecil Alex Hedges Dong-Ho Lee Marjorie Freedman R. Weischedel 58 10 0 04 Oct 2021
FQuAD2.0: French Question Answering and knowing that you know nothing Quentin Heinrich Gautier Viaud Wacim Belblidia 66 8 0 27 Sep 2021
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding Yanan Zheng Jing Zhou Yujie Qian Ming Ding Chonghua Liao Jian Li Ruslan Salakhutdinov Jie Tang Sebastian Ruder Zhilin Yang ELM 276 29 0 27 Sep 2021
Text-based NP Enrichment Yanai Elazar Victoria Basmov Yoav Goldberg Reut Tsarfaty 101 14 0 24 Sep 2021
RuleBert: Teaching Soft Rules to Pre-trained Language Models Mohammed Saeed N. Ahmadi Preslav Nakov Paolo Papotti LRM 345 33 0 24 Sep 2021
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers Jason Phang Haokun Liu Samuel R. Bowman 86 29 0 17 Sep 2021
Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU Meghana Moorthy Bhat Alessandro Sordoni Subhabrata Mukherjee LRM 58 24 0 17 Sep 2021
PPT: Pre-trained Prompt Tuning for Few-shot Learning Yuxian Gu Xu Han Zhiyuan Liu Minlie Huang VLM 146 419 0 09 Sep 2021
Cross-Policy Compliance Detection via Question Answering Marzieh Saeidi Majid Yazdani Andreas Vlachos 82 9 0 08 Sep 2021
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge Yasumasa Onoe Michael J.Q. Zhang Eunsol Choi Greg Durrett HILM 87 87 0 03 Sep 2021
Finetuned Language Models Are Zero-Shot Learners Jason W. Wei Maarten Bosma Vincent Zhao Kelvin Guu Adams Wei Yu Brian Lester Nan Du Andrew M. Dai Quoc V. Le ALM UQCV 300 3,805 0 03 Sep 2021
An Empirical Exploration in Quality Filtering of Text Data Leo Gao 64 11 0 02 Sep 2021
Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning Ran Tian Joshua Maynez Ankur P. Parikh ViT 56 2 0 30 Aug 2021
Rethinking Why Intermediate-Task Fine-Tuning Works Ting-Yun Chang Chi-Jen Lu LRM 96 30 0 26 Aug 2021
MeDiaQA: A Question Answering Dataset on Medical Dialogues Huqun Suri Qi Zhang Wenhua Huo Yan Liu Chunsheng Guan LM&MA 51 5 0 18 Aug 2021
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning Jing Zhou Yanan Zheng Jie Tang Jian Li Zhilin Yang VLM 89 80 0 13 Aug 2021
Zero-shot Task Transfer for Invoice Extraction via Class-aware QA Ensemble Prithiviraj Damodaran Prabhkaran Singh Josemon Achankuju 31 2 0 13 Aug 2021
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition Mor Geva Tomer Wolfson Jonathan Berant ReLM LRM 65 21 0 29 Jul 2021
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension Anna Rogers Matt Gardner Isabelle Augenstein 135 168 0 27 Jul 2021
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 270 108 0 15 Jul 2021
Tailor: Generating and Perturbing Text with Semantic Controls Alexis Ross Tongshuang Wu Hao Peng Matthew E. Peters Matt Gardner 197 79 0 15 Jul 2021
HTLM: Hyper-Text Pre-Training and Prompting of Language Models Armen Aghajanyan Dmytro Okhonko M. Lewis Mandar Joshi Hu Xu Gargi Ghosh Luke Zettlemoyer VLM VPVLM AI4TS AI4CE 73 76 0 14 Jul 2021
An Investigation of the (In)effectiveness of Counterfactually Augmented Data Nitish Joshi He He OODD 82 47 0 01 Jul 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding Dong Wang Ning Ding Pijian Li Haitao Zheng AAML 68 118 0 01 Jul 2021