Language Models as Knowledge Bases?

3 September 2019

Patrick Lewis

Papers citing "Language Models as Knowledge Bases?"

50 / 596 papers shown

Title
Reordering Examples Helps during Priming-based Few-Shot Learning Sawan Kumar Partha P. Talukdar 20 58 0 03 Jun 2021
Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA? Cunxiang Wang Pai Liu Yue Zhang RALM 36 80 0 03 Jun 2021
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection Lixing Zhu Gabriele Pergola Lin Gui Deyu Zhou Yulan He 43 145 0 02 Jun 2021
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions Yunshi Lan Gaole He Jinhao Jiang Jing Jiang Wayne Xin Zhao Ji-Rong Wen 16 160 0 25 May 2021
PTR: Prompt Tuning with Rules for Text Classification Xu Han Weilin Zhao Ning Ding Zhiyuan Liu Maosong Sun VLM 41 513 0 24 May 2021
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction Tianyu Gao Xu Han Keyue Qiu Yuzhuo Bai Zhiyu Xie Yankai Lin Zhiyuan Liu Peng Li Maosong Sun Jie Zhou ELM 27 31 0 20 May 2021
How Reliable are Model Diagnostics? V. Aribandi Yi Tay Donald Metzler 19 19 0 12 May 2021
Understanding by Understanding Not: Modeling Negation in Language Models Arian Hosseini Siva Reddy Dzmitry Bahdanau R. Devon Hjelm Alessandro Sordoni Rameswar Panda 22 87 0 07 May 2021
Probing for Bridging Inference in Transformer Language Models Onkar Pandit Yufang Hou 53 14 0 19 Apr 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
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 279 1,125 0 18 Apr 2021
Knowledge Neurons in Pretrained Transformers Damai Dai Li Dong Y. Hao Zhifang Sui Baobao Chang Furu Wei KELM MU 28 417 0 18 Apr 2021
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models Katikapalli Subramanyam Kalyan A. Rajasekharan S. Sangeetha LM&MA MedIm 26 164 0 16 Apr 2021
Editing Factual Knowledge in Language Models Nicola De Cao Wilker Aziz Ivan Titov KELM 68 476 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
Multivalent Entailment Graphs for Question Answering Nick McKenna Liane Guillou Mohammad Javad Hosseini Sander Bijl de Vroe Mark Johnson Mark Steedman NAI 35 14 0 16 Apr 2021
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? Eric P. Lehman Sarthak Jain Karl Pichotta Yoav Goldberg Byron C. Wallace OOD MIACV 24 118 0 15 Apr 2021
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction Xiang Chen Ningyu Zhang Xin Xie Shumin Deng Yunzhi Yao Chuanqi Tan Fei Huang Luo Si Huajun Chen 38 402 0 15 Apr 2021
Relational World Knowledge Representation in Contextual Language Models: A Review Tara Safavi Danai Koutra KELM 35 51 0 12 Apr 2021
Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble Georgios Tziafas Konstantinos Kogkalidis Tommaso Caselli 27 9 0 12 Apr 2021
Thinking Aloud: Dynamic Context Generation Improves Zero-Shot Reasoning Performance of GPT-2 Gregor Betz Kyle Richardson Christian Voigt ReLM LRM 24 30 0 24 Mar 2021
GPT Understands, Too Xiao Liu Yanan Zheng Zhengxiao Du Ming Ding Yujie Qian Zhilin Yang Jie Tang VLM 84 1,144 0 18 Mar 2021
Towards Few-Shot Fact-Checking via Perplexity Nayeon Lee Yejin Bang Andrea Madotto Madian Khabsa Pascale Fung AAML 13 90 0 17 Mar 2021
Inductive Relation Prediction by BERT H. Zha Zhiyu Zoey Chen Xifeng Yan 29 54 0 12 Mar 2021
BERTese: Learning to Speak to BERT Adi Haviv Jonathan Berant Amir Globerson 30 123 0 09 Mar 2021
Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do P. Schramowski Cigdem Turan Nico Andersen Constantin Rothkopf Kristian Kersting 33 281 0 08 Mar 2021
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics Vassilina Nikoulina Maxat Tezekbayev Nuradil Kozhakhmet Madina Babazhanova Matthias Gallé Z. Assylbekov 34 8 0 02 Mar 2021
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning Xin Xie Xiangnan Chen Xiang Chen Yong Wang Ningyu Zhang Shumin Deng Huajun Chen 42 2 0 25 Feb 2021
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data Peter Hase Joey Tianyi Zhou XAI 25 87 0 03 Feb 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 269 347 0 01 Feb 2021
Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models Nora Kassner Philipp Dufter Hinrich Schütze 23 133 0 01 Feb 2021
Combining pre-trained language models and structured knowledge Pedro Colon-Hernandez Catherine Havasi Jason B. Alonso Matthew Huggins C. Breazeal KELM 38 48 0 28 Jan 2021
English Machine Reading Comprehension Datasets: A Survey Daria Dzendzik Carl Vogel Jennifer Foster RALM AIMat 27 49 0 25 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 213 252 0 04 Jan 2021
DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge Tianqing Fang Hongming Zhang Weiqi Wang Yangqiu Song Bin He 38 45 0 01 Jan 2021
Multi-task Retrieval for Knowledge-Intensive Tasks Jean Maillard Vladimir Karpukhin Fabio Petroni Wen-tau Yih Barlas Oğuz Veselin Stoyanov Gargi Ghosh 215 64 0 01 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 24 11 0 31 Dec 2020
Evidence-based Factual Error Correction James Thorne Andreas Vlachos KELM OffRL 24 54 0 31 Dec 2020
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,924 0 31 Dec 2020
BERT Goes Shopping: Comparing Distributional Models for Product Representations Federico Bianchi Bingqing Yu Jacopo Tagliabue 25 15 0 17 Dec 2020
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision Faeze Brahman Vered Shwartz Rachel Rudinger Yejin Choi LRM 15 42 0 14 Dec 2020
Learning Contextual Causality from Time-consecutive Images Hongming Zhang Yintong Huo Xinran Zhao Yangqiu Song Dan Roth CML 32 6 0 13 Dec 2020
Modifying Memories in Transformer Models Chen Zhu A. S. Rawat Manzil Zaheer Srinadh Bhojanapalli Daliang Li Felix X. Yu Sanjiv Kumar KELM 32 192 0 01 Dec 2020
Learning from Task Descriptions Orion Weller Nicholas Lourie Matt Gardner Matthew E. Peters 47 89 0 16 Nov 2020
When Do You Need Billions of Words of Pretraining Data? Yian Zhang Alex Warstadt Haau-Sing Li Samuel R. Bowman 29 136 0 10 Nov 2020
EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answering Momchil Hardalov Todor Mihaylov Dimitrina Zlatkova Yoan Dinkov Ivan Koychev Preslav Nakov AI4Ed ELM 41 50 0 05 Nov 2020
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification Timo Schick Helmut Schmid Hinrich Schütze VLM 19 206 0 26 Oct 2020
Learning Contextualized Knowledge Structures for Commonsense Reasoning Jun Yan Mrigank Raman Aaron Chan Tianyu Zhang Ryan Rossi Handong Zhao Sungchul Kim Nedim Lipka Xiang Ren 231 36 0 24 Oct 2020
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation Mrigank Raman Aaron Chan Siddhant Agarwal Peifeng Wang Hansen Wang Sungchul Kim Ryan Rossi Handong Zhao Nedim Lipka Xiang Ren 36 19 0 24 Oct 2020
Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training Oshin Agarwal Heming Ge Siamak Shakeri Rami Al-Rfou 16 38 0 23 Oct 2020