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"

50 / 1,036 papers shown

Title
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 50 188 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 29 135 0 16 Dec 2021
Do Answers to Boolean Questions Need Explanations? Yes Sara Rosenthal Mihaela A. Bornea Avirup Sil Radu Florian Scott McCarley 19 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 Z. Chen Claire Cui ALM MoE 39 763 0 13 Dec 2021
VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction Dan Li Yang Yang Hongyin Tang Jingang Wang Tong Bill Xu Wei Yu Wu Enhong Chen 20 7 0 08 Dec 2021
MetaQA: Combining Expert Agents for Multi-Skill Question Answering Haritz Puerto Gözde Gül Sahin Iryna Gurevych LLMAG 33 20 0 03 Dec 2021
How not to Lie with a Benchmark: Rearranging NLP Leaderboards Tatiana Shavrina Valentin Malykh ALM ELM 416 10 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 12 213 0 22 Nov 2021
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing Pengcheng He Jianfeng Gao Weizhu Chen 30 1,113 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 14 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 55 1,029 0 01 Nov 2021
MetaICL: Learning to Learn In Context Sewon Min M. Lewis Luke Zettlemoyer Hannaneh Hajishirzi LRM 37 466 0 29 Oct 2021
Coherence boosting: When your pretrained language model is not paying enough attention Nikolay Malkin Zhen Wang Nebojsa Jojic RALM 19 35 0 15 Oct 2021
MixQG: Neural Question Generation with Mixed Answer Types Lidiya Murakhovs'ka C. Wu Philippe Laban Tong Niu Wenhao Liu Caiming Xiong 10 47 0 15 Oct 2021
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Matthew Cer VLM LRM 137 277 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 103 26 0 15 Oct 2021
A Few More Examples May Be Worth Billions of Parameters Yuval Kirstain Patrick Lewis Sebastian Riedel Omer Levy 19 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 18 9 0 04 Oct 2021
FQuAD2.0: French Question Answering and knowing that you know nothing Quentin Heinrich Gautier Viaud Wacim Belblidia 6 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 204 29 0 27 Sep 2021
Text-based NP Enrichment Yanai Elazar Victoria Basmov Yoav Goldberg Reut Tsarfaty 52 14 0 24 Sep 2021
RuleBert: Teaching Soft Rules to Pre-trained Language Models Mohammed Saeed N. Ahmadi Preslav Nakov Paolo Papotti LRM 245 31 0 24 Sep 2021
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers Jason Phang Haokun Liu Samuel R. Bowman 22 25 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 9 24 0 17 Sep 2021
PPT: Pre-trained Prompt Tuning for Few-shot Learning Yuxian Gu Xu Han Zhiyuan Liu Minlie Huang VLM 27 401 0 09 Sep 2021
Cross-Policy Compliance Detection via Question Answering Marzieh Saeidi Majid Yazdani Andreas Vlachos 26 7 0 08 Sep 2021
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge Yasumasa Onoe Michael J.Q. Zhang Eunsol Choi Greg Durrett HILM 27 85 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 31 3,560 0 03 Sep 2021
An Empirical Exploration in Quality Filtering of Text Data Leo Gao 10 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 29 2 0 30 Aug 2021
Rethinking Why Intermediate-Task Fine-Tuning Works Ting-Yun Chang Chi-Jen Lu LRM 19 29 0 26 Aug 2021
MeDiaQA: A Question Answering Dataset on Medical Dialogues Huqun Suri Qi Zhang Wenhua Huo Yan Liu Chunsheng Guan LM&MA 16 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 12 76 0 13 Aug 2021
Zero-shot Task Transfer for Invoice Extraction via Class-aware QA Ensemble Prithiviraj Damodaran Prabhkaran Singh Josemon Achankuju 11 2 0 13 Aug 2021
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition Mor Geva Tomer Wolfson Jonathan Berant ReLM LRM 20 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 27 163 0 27 Jul 2021
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 197 104 0 15 Jul 2021
Tailor: Generating and Perturbing Text with Semantic Controls Alexis Ross Tongshuang Wu Hao Peng Matthew E. Peters Matt Gardner 136 77 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 19 76 0 14 Jul 2021
An Investigation of the (In)effectiveness of Counterfactually Augmented Data Nitish Joshi He He OODD 19 46 0 01 Jul 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding Dong Wang Ning Ding Pijian Li Haitao Zheng AAML 24 115 0 01 Jul 2021
Combining Feature and Instance Attribution to Detect Artifacts Pouya Pezeshkpour Sarthak Jain Sameer Singh Byron C. Wallace TDI 18 43 0 01 Jul 2021
Memory-efficient Transformers via Top- $k$ Attention Ankit Gupta Guy Dar Shaya Goodman David Ciprut Jonathan Berant MQ 37 51 0 13 Jun 2021
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers Rabeeh Karimi Mahabadi James Henderson Sebastian Ruder MoE 30 466 0 08 Jun 2021
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks Rabeeh Karimi Mahabadi Sebastian Ruder Mostafa Dehghani James Henderson MoE 14 294 0 08 Jun 2021
PROST: Physical Reasoning of Objects through Space and Time Stéphane Aroca-Ouellette Cory Paik A. Roncone Katharina Kann LRM 14 46 0 07 Jun 2021
A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space S. Rajaee Mohammad Taher Pilehvar 8 41 0 02 Jun 2021
COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences Shikhar Singh Nuan Wen Yu Hou Pegah Alipoormolabashi Te-Lin Wu Xuezhe Ma Nanyun Peng LRM 21 57 0 02 Jun 2021
Comparing Test Sets with Item Response Theory Clara Vania Phu Mon Htut William Huang Dhara Mungra Richard Yuanzhe Pang Jason Phang Haokun Liu Kyunghyun Cho Sam Bowman 6 39 0 01 Jun 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations Peter Hase Harry Xie Mohit Bansal OODD LRM FAtt 18 91 0 01 Jun 2021