ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

30 October 2018

Xiaodong Liu

Papers citing "ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension"

43 / 93 papers shown

Title
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding Subhabrata Mukherjee Xiaodong Liu Guoqing Zheng Saghar Hosseini Hao Cheng Greg Yang Christopher Meek Ahmed Hassan Awadallah Jianfeng Gao ELM 33 11 0 04 Nov 2021
MetaICL: Learning to Learn In Context Sewon Min M. Lewis Luke Zettlemoyer Hannaneh Hajishirzi LRM 72 470 0 29 Oct 2021
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Cer VLM LRM 137 277 0 15 Oct 2021
More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answering Yang Bai D. Wang 96 10 0 25 Sep 2021
KELM: Knowledge Enhanced Pre-Trained Language Representations with Message Passing on Hierarchical Relational Graphs Yinquan Lu H. Lu Guirong Fu Qun Liu KELM 18 34 0 09 Sep 2021
ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Historical News Collections Jiexin Wang Adam Jatowt Masatoshi Yoshikawa 35 33 0 08 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 35 3,590 0 03 Sep 2021
From LSAT: The Progress and Challenges of Complex Reasoning Siyuan Wang Zhongkun Liu Wanjun Zhong Ming Zhou Zhongyu Wei Zhumin Chen Nan Duan ELM 33 43 0 02 Aug 2021
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers Rabeeh Karimi Mahabadi James Henderson Sebastian Ruder MoE 67 468 0 08 Jun 2021
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study Divyansh Kaushik Douwe Kiela Zachary Chase Lipton Wen-tau Yih AAML 11 36 0 02 Jun 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 223 180 0 18 Apr 2021
What to Pre-Train on? Efficient Intermediate Task Selection Clifton A. Poth Jonas Pfeiffer Andreas Rucklé Iryna Gurevych 24 95 0 16 Apr 2021
Probing Across Time: What Does RoBERTa Know and When? Leo Z. Liu Yizhong Wang Jungo Kasai Hannaneh Hajishirzi Noah A. Smith KELM 13 80 0 16 Apr 2021
AR-LSAT: Investigating Analytical Reasoning of Text Wanjun Zhong Siyuan Wang Duyu Tang Zenan Xu Daya Guo Jiahai Wang Jian Yin Ming Zhou Nan Duan ELM 27 40 0 14 Apr 2021
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark Nicholas Lourie Ronan Le Bras Chandra Bhagavatula Yejin Choi LRM 30 137 0 24 Mar 2021
Improving and Simplifying Pattern Exploiting Training Derek Tam Rakesh R Menon Joey Tianyi Zhou Shashank Srivastava Colin Raffel 21 149 0 22 Mar 2021
GPT Understands, Too Xiao Liu Yanan Zheng Zhengxiao Du Ming Ding Yujie Qian Zhilin Yang Jie Tang VLM 87 1,146 0 18 Mar 2021
How Many Data Points is a Prompt Worth? Teven Le Scao Alexander M. Rush VLM 66 296 0 15 Mar 2021
Muppet: Massive Multi-task Representations with Pre-Finetuning Armen Aghajanyan Anchit Gupta Akshat Shrivastava Xilun Chen Luke Zettlemoyer Sonal Gupta 33 266 0 26 Jan 2021
English Machine Reading Comprehension Datasets: A Survey Daria Dzendzik Carl Vogel Jennifer Foster RALM AIMat 27 49 0 25 Jan 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 156 190 0 13 Jan 2021
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering Fengbin Zhu Wenqiang Lei Chao Wang Jianming Zheng Soujanya Poria Tat-Seng Chua RALM 213 253 0 04 Jan 2021
Studying Strategically: Learning to Mask for Closed-book QA Qinyuan Ye Belinda Z. Li Sinong Wang Benjamin Bolte Hao Ma Wen-tau Yih Xiang Ren Madian Khabsa OffRL 27 11 0 31 Dec 2020
Learning from Task Descriptions Orion Weller Nicholas Lourie Matt Gardner Matthew E. Peters 50 89 0 16 Nov 2020
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention Ikuya Yamada Akari Asai Hiroyuki Shindo Hideaki Takeda Yuji Matsumoto 26 662 0 02 Oct 2020
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data Jonathan Pilault Amine Elhattami C. Pal CLL MoE 30 89 0 19 Sep 2020
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners Timo Schick Hinrich Schütze 51 956 0 15 Sep 2020
A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and Benchmark Datasets Chengchang Zeng Shaobo Li Qin Li Jie Hu Jianjun Hu 13 101 0 21 Jun 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 64 2,626 0 05 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 97 40,302 0 28 May 2020
To Test Machine Comprehension, Start by Defining Comprehension Jesse Dunietz Greg Burnham Akash Bharadwaj Owen Rambow Jennifer Chu-Carroll D. Ferrucci FaML 54 65 0 04 May 2020
Neuro-symbolic Architectures for Context Understanding A. Oltramari Jonathan M Francis C. Henson Kaixin Ma Ruwan Wickramarachchi NAI AI4CE 25 28 0 09 Mar 2020
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning Weihao Yu Zihang Jiang Yanfei Dong Jiashi Feng LRM 25 243 0 11 Feb 2020
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension Max Bartolo A. Roberts Johannes Welbl Sebastian Riedel Pontus Stenetorp AAML 31 167 0 02 Feb 2020
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model Wenhan Xiong Jingfei Du William Yang Wang Veselin Stoyanov SSL KELM 52 201 0 20 Dec 2019
Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering Kaixin Ma Jonathan M Francis Quanyang Lu Eric Nyberg A. Oltramari NAI 21 89 0 30 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 129 19,529 0 23 Oct 2019
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning Lifu Huang Ronan Le Bras Chandra Bhagavatula Yejin Choi AIMat RALM LRM 32 447 0 31 Aug 2019
Adversarial Domain Adaptation for Machine Reading Comprehension Huazheng Wang Zhe Gan Xiaodong Liu Jingjing Liu Jianfeng Gao Hongning Wang 25 64 0 24 Aug 2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions Christopher Clark Kenton Lee Ming-Wei Chang Tom Kwiatkowski Michael Collins Kristina Toutanova 96 1,413 0 24 May 2019
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning Shuohang Wang Sheng Zhang Yelong Shen Xiaodong Liu Jingjing Liu Jianfeng Gao Jing Jiang LRM 22 15 0 03 Apr 2019
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches Shane Storks Qiaozi Gao J. Chai 21 128 0 02 Apr 2019
Neural Approaches to Conversational AI Jianfeng Gao Michel Galley Lihong Li 49 670 0 21 Sep 2018