Danqi Chen

ORCID

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 103

Top Venues

Publications

Danqi Chen, Yanxia Zhang, Guoli Pang, Fangping Gao, Li Duan
A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks. Sensors 23 (11) (2023)
Dan Friedman, Alexander Wettig, Danqi Chen
Learning Transformer Programs. CoRR (2023)
Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. ACL (1) (2023)
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov
Training Trajectories of Language Models Across Scales. ACL (1) (2023)
Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. CoRR (2023)
Alexis Chevalier, Alexander Wettig, Anirudh Ajith, Danqi Chen
Adapting Language Models to Compress Contexts. CoRR (2023)
Yangsibo Huang, Samyak Gupta, Zexuan Zhong, Kai Li, Danqi Chen
Privacy Implications of Retrieval-Based Language Models. EMNLP (2023)
Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan
C-STS: Conditional Semantic Textual Similarity. EMNLP (2023)
Jane Pan, Tianyu Gao, Howard Chen, Danqi Chen
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning. CoRR (2023)
Tianyu Gao, Howard Yen, Jiatong Yu, Danqi Chen
Enabling Large Language Models to Generate Text with Citations. CoRR (2023)
Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora
Fine-Tuning Language Models with Just Forward Passes. CoRR (2023)
Yangsibo Huang, Samyak Gupta, Zexuan Zhong, Kai Li, Danqi Chen
Privacy Implications of Retrieval-Based Language Models. CoRR (2023)
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023)
Jane Pan, Tianyu Gao, Howard Chen, Danqi Chen
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning. ACL (Findings) (2023)
Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. EMNLP (2023)
Alexander Wettig, Tianyu Gao, Zexuan Zhong, Danqi Chen
Should You Mask 15% in Masked Language Modeling? EACL (2023)
Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen
Evaluating Large Language Models at Evaluating Instruction Following. CoRR (2023)
Zexuan Zhong, Ziqing Huang, Alexander Wettig, Danqi Chen
Poisoning Retrieval Corpora by Injecting Adversarial Passages. CoRR (2023)
Michael Bendersky, Danqi Chen, Fernando Diaz, Hamed Zamani
SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023). SIGIR (2023)
Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan
CSTS: Conditional Semantic Textual Similarity. CoRR (2023)
Alexis Chevalier, Alexander Wettig, Anirudh Ajith, Danqi Chen
Adapting Language Models to Compress Contexts. EMNLP (2023)
Zexuan Zhong, Ziqing Huang, Alexander Wettig, Danqi Chen
Poisoning Retrieval Corpora by Injecting Adversarial Passages. EMNLP (2023)
Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora
A Kernel-Based View of Language Model Fine-Tuning. ICML (2023)
Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning. CoRR (2023)
Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer
Detecting Pretraining Data from Large Language Models. CoRR (2023)
Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. CoRR (2023)
Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation. CoRR (2023)
Mujeen Sung, Jungsoo Park, Jaewoo Kang, Danqi Chen, Jinhyuk Lee
Optimizing Test-Time Query Representations for Dense Retrieval. ACL (Findings) (2023)
Tianyu Gao, Howard Yen, Jiatong Yu, Danqi Chen
Enabling Large Language Models to Generate Text with Citations. EMNLP (2023)
Akari Asai, Sewon Min, Zexuan Zhong, Danqi Chen
Retrieval-based Language Models and Applications. ACL (tutorial) (2023)
Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen
Recovering Private Text in Federated Learning of Language Models. CoRR (2022)
Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models. EMNLP (2022)
Kaiyu Yang, Jia Deng, Danqi Chen
Generating Natural Language Proofs with Verifier-Guided Search. CoRR (2022)
Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen
Can Rationalization Improve Robustness? NAACL-HLT (2022)
Jacqueline He, Mengzhou Xia, Christiane Fellbaum, Danqi Chen
MABEL: Attenuating Gender Bias using Textual Entailment Data. CoRR (2022)
Mengzhou Xia, Zexuan Zhong, Danqi Chen
Structured Pruning Learns Compact and Accurate Models. ACL (1) (2022)
Mujeen Sung, Jungsoo Park, Jaewoo Kang, Danqi Chen, Jinhyuk Lee
Refining Query Representations for Dense Retrieval at Test Time. CoRR (2022)
Kaiyu Yang, Jia Deng, Danqi Chen
Generating Natural Language Proofs with Verifier-Guided Search. EMNLP (2022)
Alexander Wettig, Tianyu Gao, Zexuan Zhong, Danqi Chen
Should You Mask 15% in Masked Language Modeling? CoRR (2022)
Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Ves Stoyanov
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. CoRR (2022)
Dan Friedman, Alexander Wettig, Danqi Chen
Finding Dataset Shortcuts with Grammar Induction. CoRR (2022)
Huihan Li, Tianyu Gao, Manan Goenka, Danqi Chen
Ditch the Gold Standard: Re-evaluating Conversational Question Answering. ACL (1) (2022)
Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen
Can Rationalization Improve Robustness? CoRR (2022)
Zexuan Zhong, Tao Lei, Danqi Chen
Training Language Models with Memory Augmentation. EMNLP (2022)
Jacqueline He, Mengzhou Xia, Christiane Fellbaum, Danqi Chen
MABEL: Attenuating Gender Bias using Textual Entailment Data. EMNLP (2022)
Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen
Recovering Private Text in Federated Learning of Language Models. NeurIPS (2022)
Dan Friedman, Alexander Wettig, Danqi Chen
Finding Dataset Shortcuts with Grammar Induction. EMNLP (2022)
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Ves Stoyanov
Training Trajectories of Language Models Across Scales. CoRR (2022)
Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models. CoRR (2022)
Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora
A Kernel-Based View of Language Model Fine-Tuning. CoRR (2022)
Howard Chen, Huihan Li, Danqi Chen, Karthik Narasimhan
Controllable Text Generation with Language Constraints. CoRR (2022)
Mengzhou Xia, Zexuan Zhong, Danqi Chen
Structured Pruning Learns Compact and Accurate Models. CoRR (2022)
Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Veselin Stoyanov
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. EMNLP (2022)
Zexuan Zhong, Tao Lei, Danqi Chen
Training Language Models with Memory Augmentation. CoRR (2022)
Zexuan Zhong, Danqi Chen
A Frustratingly Easy Approach for Entity and Relation Extraction. NAACL-HLT (2021)
Dan Friedman, Ben Dodge, Danqi Chen
Single-dataset Experts for Multi-dataset Question Answering. CoRR (2021)
Jinhyuk Lee, Alexander Wettig, Danqi Chen
Phrase Retrieval Learns Passage Retrieval, Too. AKBC (2021)
Zexuan Zhong, Dan Friedman, Danqi Chen
Factual Probing Is [MASK]: Learning vs. Learning to Recall. NAACL-HLT (2021)
Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, Danqi Chen
Simple Entity-Centric Questions Challenge Dense Retrievers. EMNLP (1) (2021)
Howard Chen, Mengzhou Xia, Danqi Chen
Non-Parametric Few-Shot Learning for Word Sense Disambiguation. NAACL-HLT (2021)
Dan Friedman, Ben Dodge, Danqi Chen
Single-dataset Experts for Multi-dataset Question Answering. EMNLP (1) (2021)
Tianyu Gao, Xingcheng Yao, Danqi Chen
SimCSE: Simple Contrastive Learning of Sentence Embeddings. CoRR (2021)
Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, Danqi Chen
Simple Entity-Centric Questions Challenge Dense Retrievers. CoRR (2021)
Tianyu Gao, Adam Fisch, Danqi Chen
Making Pre-trained Language Models Better Few-shot Learners. ACL/IJCNLP (1) (2021)
Zexuan Zhong, Dan Friedman, Danqi Chen
Factual Probing Is [MASK]: Learning vs. Learning to Recall. CoRR (2021)
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR (2021)
Howard Chen, Mengzhou Xia, Danqi Chen
Non-Parametric Few-Shot Learning for Word Sense Disambiguation. CoRR (2021)
Jinhyuk Lee, Alexander Wettig, Danqi Chen
Phrase Retrieval Learns Passage Retrieval, Too. CoRR (2021)
Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, Danqi Chen
Learning Dense Representations of Phrases at Scale. ACL/IJCNLP (1) (2021)
Huihan Li, Tianyu Gao, Manan Goenka, Danqi Chen
Ditch the Gold Standard: Re-evaluating Conversational Question Answering. CoRR (2021)
Jinhyuk Lee, Alexander Wettig, Danqi Chen
Phrase Retrieval Learns Passage Retrieval, Too. EMNLP (1) (2021)
Tianyu Gao, Xingcheng Yao, Danqi Chen
SimCSE: Simple Contrastive Learning of Sentence Embeddings. EMNLP (1) (2021)
Danqi Chen
All-round and Accurate Online Education Model amid COVID19. WI/IAT (2020)
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih
Dense Passage Retrieval for Open-Domain Question Answering. CoRR (2020)
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy
SpanBERT: Improving Pre-training by Representing and Predicting Spans. Trans. Assoc. Comput. Linguistics 8 (2020)
Tianyu Gao, Adam Fisch, Danqi Chen
Making Pre-trained Language Models Better Few-shot Learners. CoRR (2020)
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick S. H. Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih
Dense Passage Retrieval for Open-Domain Question Answering. EMNLP (1) (2020)
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) (2020)
Yangsibo Huang, Zhao Song, Danqi Chen, Kai Li, Sanjeev Arora
TextHide: Tackling Data Privacy in Language Understanding Tasks. CoRR (2020)
Danqi Chen, Wen-tau Yih
Open-Domain Question Answering. ACL (tutorial) (2020)
Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, Danqi Chen
Learning Dense Representations of Phrases at Scale. CoRR (2020)
Yangsibo Huang, Zhao Song, Danqi Chen, Kai Li, Sanjeev Arora
TextHide: Tackling Data Privacy for Language Understanding Tasks. EMNLP (Findings) (2020)
Zexuan Zhong, Danqi Chen
A Frustratingly Easy Approach for Joint Entity and Relation Extraction. CoRR (2020)
Sewon Min, Danqi Chen, Luke Zettlemoyer, Hannaneh Hajishirzi
Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering. CoRR (2019)
Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, Danqi Chen
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension. MRQA@EMNLP (2019)
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy
SpanBERT: Improving Pre-training by Representing and Predicting Spans. CoRR (2019)
Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer
A Discrete Hard EM Approach for Weakly Supervised Question Answering. EMNLP/IJCNLP (1) (2019)
Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, Danqi Chen
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension. CoRR (2019)
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov
RoBERTa: A Robustly Optimized BERT Pretraining Approach. CoRR (2019)
Siva Reddy, Danqi Chen, Christopher D. Manning
CoQA: A Conversational Question Answering Challenge. Trans. Assoc. Comput. Linguistics 7 (2019)
Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer
A Discrete Hard EM Approach for Weakly Supervised Question Answering. CoRR (2019)
Siva Reddy, Danqi Chen, Christopher D. Manning
CoQA: A Conversational Question Answering Challenge. CoRR (2018)
Danqi Chen, Adam Fisch, Jason Weston, Antoine Bordes
Reading Wikipedia to Answer Open-Domain Questions. CoRR (2017)
Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, Christopher D. Manning
Position-aware Attention and Supervised Data Improve Slot Filling. EMNLP (2017)
Danqi Chen, Adam Fisch, Jason Weston, Antoine Bordes
Reading Wikipedia to Answer Open-Domain Questions. ACL (1) (2017)
Danqi Chen, Jason Bolton, Christopher D. Manning
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task. ACL (1) (2016)
Danqi Chen, Jason Bolton, Christopher D. Manning
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task. CoRR (2016)
Bowen Tian, Yun Tian, Brandon Huebert, Yijie Sun, Trevor Hurt, Waymon Ho, Yuting Zhang, Danqi Chen, HwaSung Lee
SecHDFS: A Secure Data Allocation Scheme for Heterogenous Hadoop Systems. NAS (2016)
Bowen Tian, Yun Tian, Yijie Sun, Trevor Hurt, Brandon Huebert, Waymon Ho, Yuting Zhang, Danqi Chen
A secure data allocation solution for heterogeneous Hadoop systems: SecHDFS. IPCCC (2016)
Yuhao Zhang, Arun Tejasvi Chaganty, Ashwin Paranjape, Danqi Chen, Jason Bolton, Peng Qi, Christopher D. Manning
Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese. TAC (2016)

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Publication Activity (10 Years)

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Danqi Chen