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
U3E: Unsupervised and Erasure-based Evidence Extraction for Machine Reading Comprehension Suzhe He Shumin Shi Chenghao Wu 46 0 0 06 Oct 2022
Ask Me Anything: A simple strategy for prompting language models Simran Arora A. Narayan Mayee F. Chen Laurel J. Orr Neel Guha Kush S. Bhatia Ines Chami Frederic Sala Christopher Ré ReLM LRM 235 208 0 05 Oct 2022
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models Zichun Yu Tianyu Gao Zhengyan Zhang Yankai Lin Zhiyuan Liu Maosong Sun Jie Zhou VLM LRM 38 1 0 20 Sep 2022
A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction Changzhi Zhou Dandan Song Jing Xu Zhijing Wu 32 11 0 16 Sep 2022
Activity report analysis with automatic single or multispan answer extraction R. Choudhary A. Sridhar Erik M. Visser 24 1 0 09 Sep 2022
Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding Zhaoye Fei Yu Tian Yongkang Wu Xinyu Zhang Yutao Zhu ... Dejiang Kong Ruofei Lai Bo Zhao Zhicheng Dou Xipeng Qiu 110 1 0 19 Aug 2022
Few-shot Adaptation Works with UnpredicTable Data Jun Shern Chan Michael Pieler Jonathan Jao Jérémy Scheurer Ethan Perez 31 5 0 01 Aug 2022
Analyzing Bagging Methods for Language Models Pranab Islam Shaan Khosla Arthur Lok Mudit Saxena UQCV MoE ELM 22 1 0 19 Jul 2022
Rationale-Augmented Ensembles in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Denny Zhou ReLM LRM 38 124 0 02 Jul 2022
Modern Question Answering Datasets and Benchmarks: A Survey Zhen Wang 44 23 0 30 Jun 2022
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks Jiasen Lu Christopher Clark Rowan Zellers Roozbeh Mottaghi Aniruddha Kembhavi ObjD VLM MLLM 74 393 0 17 Jun 2022
GAAMA 2.0: An Integrated System that Answers Boolean and Extractive Questions Scott McCarley Mihaela A. Bornea Sara Rosenthal Anthony Ferritto Md Arafat Sultan Avirup Sil Radu Florian 14 1 0 16 Jun 2022
Language Models are General-Purpose Interfaces Y. Hao Haoyu Song Li Dong Shaohan Huang Zewen Chi Wenhui Wang Shuming Ma Furu Wei MLLM 30 96 0 13 Jun 2022
Instance-wise Prompt Tuning for Pretrained Language Models Yuezihan Jiang Hao Yang Junyang Lin Hanyu Zhao An Yang Chang Zhou Hongxia Yang Zhi-Xin Yang Bin Cui VLM 41 7 0 04 Jun 2022
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers Z. Yao Reza Yazdani Aminabadi Minjia Zhang Xiaoxia Wu Conglong Li Yuxiong He VLM MQ 73 444 0 04 Jun 2022
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models Mengzhou Xia Mikel Artetxe Jingfei Du Danqi Chen Ves Stoyanov 32 6 0 30 May 2022
Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-Experts Qinyuan Ye Juan Zha Xiang Ren MoE 18 12 0 25 May 2022
Rethinking Fano's Inequality in Ensemble Learning Terufumi Morishita Gaku Morio Shota Horiguchi Hiroaki Ozaki N. Nukaga FedML 11 3 0 25 May 2022
Is a Question Decomposition Unit All We Need? Pruthvi H. Patel Swaroop Mishra Mihir Parmar Chitta Baral ReLM 158 51 0 25 May 2022
ClaimDiff: Comparing and Contrasting Claims on Contentious Issues Miyoung Ko Ingyu Seong Hwaran Lee Joonsuk Park Minsuk Chang Minjoon Seo 46 3 0 24 May 2022
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts Akari Asai Mohammadreza Salehi Matthew E. Peters Hannaneh Hajishirzi 130 100 0 24 May 2022
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding Rishabh Bhardwaj Amrita Saha Guosheng Lin Soujanya Poria VLM VPVLM 25 7 0 23 May 2022
Calibration of Natural Language Understanding Models with Venn--ABERS Predictors Patrizio Giovannotti 38 6 0 21 May 2022
Learning Rate Curriculum Florinel-Alin Croitoru Nicolae-Cătălin Ristea Radu Tudor Ionescu N. Sebe 19 9 0 18 May 2022
Making Pretrained Language Models Good Long-tailed Learners Chen Zhang Lei Ren Jingang Wang Wei Wu Dawei Song RALM VLM 30 8 0 11 May 2022
ProQA: Structural Prompt-based Pre-training for Unified Question Answering Wanjun Zhong Yifan Gao Ning Ding Yujia Qin Zhiyuan Liu Ming Zhou Jiahai Wang Jian Yin Nan Duan 20 34 0 09 May 2022
Improving In-Context Few-Shot Learning via Self-Supervised Training Mingda Chen Jingfei Du Ramakanth Pasunuru Todor Mihaylov Srini Iyer Ves Stoyanov Zornitsa Kozareva SSL AI4MH 38 64 0 03 May 2022
Science Checker: Extractive-Boolean Question Answering For Scientific Fact Checking Loïc Rakotoson Charles Letaillieur S. Massip F. Laleye 20 4 0 26 Apr 2022
Zero-shot Entity and Tweet Characterization with Designed Conditional Prompts and Contexts S. Srivatsa Tushar Mohan Kumari Neha Nishchay Malakar Ponnurangam Kumaraguru Srinath Srinivasa 33 0 0 18 Apr 2022
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners Shashank Gupta Subhabrata Mukherjee K. Subudhi Eduardo Gonzalez Damien Jose Ahmed Hassan Awadallah Jianfeng Gao MoE 27 49 0 16 Apr 2022
What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization? Thomas Wang Adam Roberts Daniel Hesslow Teven Le Scao Hyung Won Chung Iz Beltagy Julien Launay Colin Raffel 39 167 0 12 Apr 2022
KOBEST: Korean Balanced Evaluation of Significant Tasks Dohyeong Kim Myeongjun Jang D. Kwon Eric Davis ALM 16 23 0 09 Apr 2022
Fusing finetuned models for better pretraining Leshem Choshen Elad Venezian Noam Slonim Yoav Katz FedML AI4CE MoMe 54 87 0 06 Apr 2022
Training Compute-Optimal Large Language Models Jordan Hoffmann Sebastian Borgeaud A. Mensch Elena Buchatskaya Trevor Cai ... Karen Simonyan Erich Elsen Jack W. Rae Oriol Vinyals Laurent Sifre AI4TS 69 1,846 0 29 Mar 2022
REx: Data-Free Residual Quantization Error Expansion Edouard Yvinec Arnaud Dapgony Matthieu Cord Kévin Bailly MQ 33 8 0 28 Mar 2022
UKP-SQUARE: An Online Platform for Question Answering Research Tim Baumgärtner Kexin Wang Rachneet Sachdeva Max Eichler Gregor Geigle ... Leonardo F. R. Ribeiro Jonas Pfeiffer Nils Reimers Gözde Gül Sahin Iryna Gurevych 25 7 0 25 Mar 2022
ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations Oscar Sainz Haoling Qiu Oier López de Lacalle Eneko Agirre Bonan Min SyDa 31 12 0 25 Mar 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 326 3,273 0 21 Mar 2022
Word Order Does Matter (And Shuffled Language Models Know It) Vinit Ravishankar Mostafa Abdou Artur Kulmizev Anders Søgaard 17 44 0 21 Mar 2022
KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models Daniel Gao Yantao Jia Lei Li Chengzhen Fu Zhicheng Dou Hao Jiang Xinyu Zhang Lei Chen Bo Zhao KELM 22 8 0 28 Feb 2022
UnifiedQA-v2: Stronger Generalization via Broader Cross-Format Training Daniel Khashabi Yeganeh Kordi Hannaneh Hajishirzi 25 66 0 23 Feb 2022
A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models Da Yin Li Dong Hao Cheng Xiaodong Liu Kai-Wei Chang Furu Wei Jianfeng Gao KELM 27 34 0 17 Feb 2022
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? Guanzheng Chen Fangyu Liu Zaiqiao Meng Shangsong Liang 26 88 0 16 Feb 2022
Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP models Alena Fenogenova Maria Tikhonova Vladislav Mikhailov Tatiana Shavrina Anton A. Emelyanov Denis Shevelev Alexander Kukushkin Valentin Malykh Ekaterina Artemova AAML VLM ELM 36 2 0 15 Feb 2022
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments Maor Ivgi Y. Carmon Jonathan Berant 19 17 0 13 Feb 2022
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models Wei Ping Ming-Yu Liu Chaowei Xiao P. Xu M. Patwary M. Shoeybi Bo-wen Li Anima Anandkumar Bryan Catanzaro 25 65 0 08 Feb 2022
What are the best systems? New perspectives on NLP Benchmarking Pierre Colombo Nathan Noiry Ekhine Irurozki Stéphan Clémençon 27 28 0 08 Feb 2022
Co-training Improves Prompt-based Learning for Large Language Models Hunter Lang Monica Agrawal Yoon Kim David Sontag VLM LRM 172 39 0 02 Feb 2022
Describing Differences between Text Distributions with Natural Language Ruiqi Zhong Charles Burton Snell Dan Klein Jacob Steinhardt VLM 132 42 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 ... M. Shoeybi Yuxiong He Michael Houston Saurabh Tiwary Bryan Catanzaro MoE 90 732 0 28 Jan 2022