Danqi Chen

According to our database, Danqi Chen authored at least 80 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models.

Adithya Bhaskar, Dan Friedman, Danqi Chen

CoRR, 2024

Reliable, Adaptable, and Attributable Language Models with Retrieval.

Akari Asai, Zexuan Zhong, Danqi Chen, Pang Wei Koh, Luke Zettlemoyer, Hannaneh Hajishirzi, Wen-tau Yih

CoRR, 2024

Long-Context Language Modeling with Parallel Context Encoding.

Howard Yen, Tianyu Gao, Danqi Chen

CoRR, 2024

Improving Language Understanding from Screenshots.

Tianyu Gao, Zirui Wang, Adithya Bhaskar, Danqi Chen

CoRR, 2024

Language Models as Science Tutors.

Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Jameson Aragon, Arturo Rodríguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, Zirui Wang, Xindi Wu, Mengzhou Xia, Wenhan Jia, Jiatong Yu, Jun-Jie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen

CoRR, 2024

QuRating: Selecting High-Quality Data for Training Language Models.

Alexander Wettig, Aatmik Gupta, Saumya Malik, Danqi Chen

CoRR, 2024

LESS: Selecting Influential Data for Targeted Instruction Tuning.

Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen

CoRR, 2024

2023

Interpretability Illusions in the Generalization of Simplified Models.

Dan Friedman, Andrew Lampinen, Lucas Dixon, Danqi Chen, Asma Ghandeharioun

CoRR, 2023

Detecting Pretraining Data from Large Language Models.

Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer

CoRR, 2023

Evaluating Large Language Models at Evaluating Instruction Following.

Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen

CoRR, 2023

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation.

Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen

CoRR, 2023

Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.

Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen

CoRR, 2023

CSTS: Conditional Semantic Textual Similarity.

Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan

CoRR, 2023

SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023).

Michael Bendersky, Danqi Chen, Fernando Diaz, Hamed Zamani

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Fine-Tuning Language Models with Just Forward Passes.

Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Transformer Programs.

Dan Friedman, Alexander Wettig, Danqi Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Kernel-Based View of Language Model Fine-Tuning.

Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora

Proceedings of the International Conference on Machine Learning, 2023

MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions.

Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Poisoning Retrieval Corpora by Injecting Adversarial Passages.

Zexuan Zhong, Ziqing Huang, Alexander Wettig, Danqi Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Privacy Implications of Retrieval-Based Language Models.

Yangsibo Huang, Samyak Gupta, Zexuan Zhong, Kai Li, Danqi Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enabling Large Language Models to Generate Text with Citations.

Tianyu Gao, Howard Yen, Jiatong Yu, Danqi Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

C-STS: Conditional Semantic Textual Similarity.

Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Adapting Language Models to Compress Contexts.

Alexis Chevalier, Alexander Wettig, Anirudh Ajith, Danqi Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Should You Mask 15% in Masked Language Modeling?

Alexander Wettig, Tianyu Gao, Zexuan Zhong, Danqi Chen

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Retrieval-based Language Models and Applications.

Akari Asai, Sewon Min, Zexuan Zhong, Danqi Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023

Training Trajectories of Language Models Across Scales.

Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Optimizing Test-Time Query Representations for Dense Retrieval.

Mujeen Sung, Jungsoo Park, Jaewoo Kang, Danqi Chen, Jinhyuk Lee

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations.

Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning.

Jane Pan, Tianyu Gao, Howard Chen, Danqi Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Controllable Text Generation with Language Constraints.

Howard Chen, Huihan Li, Danqi Chen, Karthik Narasimhan

CoRR, 2022

Refining Query Representations for Dense Retrieval at Test Time.

Mujeen Sung, Jungsoo Park, Jaewoo Kang, Danqi Chen, Jinhyuk Lee

CoRR, 2022

Recovering Private Text in Federated Learning of Language Models.

Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Can Rationalization Improve Robustness?

Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Training Language Models with Memory Augmentation.

Zexuan Zhong, Tao Lei, Danqi Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Generating Natural Language Proofs with Verifier-Guided Search.

Kaiyu Yang, Jia Deng, Danqi Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models.

Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Veselin Stoyanov

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models.

Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MABEL: Attenuating Gender Bias using Textual Entailment Data.

Jacqueline He, Mengzhou Xia, Christiane Fellbaum, Danqi Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Finding Dataset Shortcuts with Grammar Induction.

Dan Friedman, Alexander Wettig, Danqi Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Structured Pruning Learns Compact and Accurate Models.

Mengzhou Xia, Zexuan Zhong, Danqi Chen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Ditch the Gold Standard: Re-evaluating Conversational Question Answering.

Huihan Li, Tianyu Gao, Manan Goenka, Danqi Chen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Factual Probing Is [MASK]: Learning vs. Learning to Recall.

Zexuan Zhong, Dan Friedman, Danqi Chen

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Frustratingly Easy Approach for Entity and Relation Extraction.

Zexuan Zhong, Danqi Chen

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Non-Parametric Few-Shot Learning for Word Sense Disambiguation.

Howard Chen, Mengzhou Xia, Danqi Chen

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Simple Entity-Centric Questions Challenge Dense Retrievers.

Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, Danqi Chen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

SimCSE: Simple Contrastive Learning of Sentence Embeddings.

Tianyu Gao, Xingcheng Yao, Danqi Chen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Single-dataset Experts for Multi-dataset Question Answering.

Dan Friedman, Ben Dodge, Danqi Chen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Phrase Retrieval Learns Passage Retrieval, Too.

Jinhyuk Lee, Alexander Wettig, Danqi Chen

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Learning Dense Representations of Phrases at Scale.

Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, Danqi Chen

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Making Pre-trained Language Models Better Few-shot Learners.

Tianyu Gao, Adam Fisch, Danqi Chen

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

SpanBERT: Improving Pre-training by Representing and Predicting Spans.

Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy

Trans. Assoc. Comput. Linguistics, 2020

A Frustratingly Easy Approach for Joint Entity and Relation Extraction.

Zexuan Zhong, Danqi Chen

CoRR, 2020

Dense Passage Retrieval for Open-Domain Question Answering.

Vladimir Karpukhin, Barlas Oguz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih

CoRR, 2020

All-round and Accurate Online Education Model amid COVID19.

Danqi Chen

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.

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

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Dense Passage Retrieval for Open-Domain Question Answering.

Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick S. H. Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

TextHide: Tackling Data Privacy for Language Understanding Tasks.

Yangsibo Huang, Zhao Song, Danqi Chen, Kai Li, Sanjeev Arora

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Open-Domain Question Answering.

Danqi Chen, Wen-tau Yih

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2020

2019

CoQA: A Conversational Question Answering Challenge.

Siva Reddy, Danqi Chen, Christopher D. Manning

Trans. Assoc. Comput. Linguistics, 2019

Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering.

Sewon Min, Danqi Chen, Luke Zettlemoyer, Hannaneh Hajishirzi

CoRR, 2019

RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov

CoRR, 2019

A Discrete Hard EM Approach for Weakly Supervised Question Answering.

Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension.

Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, Danqi Chen

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018

Neural reading comprehension and beyond.

Danqi Chen

PhD thesis, 2018

2017

Position-aware Attention and Supervised Data Improve Slot Filling.

Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, Christopher D. Manning

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Reading Wikipedia to Answer Open-Domain Questions.

Danqi Chen, Adam Fisch, Jason Weston, Antoine Bordes

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese.

Yuhao Zhang, Arun Tejasvi Chaganty, Ashwin Paranjape, Danqi Chen, Jason Bolton, Peng Qi, Christopher D. Manning

Proceedings of the 2016 Text Analysis Conference, 2016

SecHDFS: A Secure Data Allocation Scheme for Heterogenous Hadoop Systems.

Bowen Tian, Yun Tian, Brandon Huebert, Yijie Sun, Trevor Hurt, Waymon Ho, Yuting Zhang, Danqi Chen, HwaSung Lee

Proceedings of the IEEE International Conference on Networking, 2016

A secure data allocation solution for heterogeneous Hadoop systems: SecHDFS.

Bowen Tian, Yun Tian, Yijie Sun, Trevor Hurt, Brandon Huebert, Waymon Ho, Yuting Zhang, Danqi Chen

Proceedings of the 35th IEEE International Performance Computing and Communications Conference, 2016

A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task.

Danqi Chen, Jason Bolton, Christopher D. Manning

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Bootstrapped Self Training for Knowledge Base Population.

Gabor Angeli, Victor Zhong, Danqi Chen, Arun Tejasvi Chaganty, Jason Bolton, Melvin Jose Johnson Premkumar, Panupong Pasupat, Sonal Gupta, Christopher D. Manning

Proceedings of the 2015 Text Analysis Conference, 2015

Representing Text for Joint Embedding of Text and Knowledge Bases.

Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, Michael Gamon

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Observed versus latent features for knowledge base and text inference.

Kristina Toutanova, Danqi Chen

Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality, 2015

2014

A Fast and Accurate Dependency Parser using Neural Networks.

Danqi Chen, Christopher D. Manning

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors

Danqi Chen, Richard Socher, Christopher D. Manning, Andrew Y. Ng

Proceedings of the 1st International Conference on Learning Representations, 2013

Reasoning With Neural Tensor Networks for Knowledge Base Completion.

Richard Socher, Danqi Chen, Christopher D. Manning, Andrew Y. Ng

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Beyond ten blue links: enabling user click modeling in federated web search.

Danqi Chen, Weizhu Chen, Haixun Wang, Zheng Chen, Qiang Yang

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

2011

Characterizing Inverse Time Dependency in Multi-class Learning.

Danqi Chen, Weizhu Chen, Qiang Yang

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

PhenOMIM: An OMIM-based secondary database purported for phenotypic comparison.

Han J. W. van Triest, Danqi Chen, Xinglai Ji, Shouliang Qi, Jesse Li-Ling

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2009

Audio-Visual Emotion Recognition Based on a DBN Model with Constrained Asynchrony.

Danqi Chen, Dongmei Jiang, Ilse Ravyse, Hichem Sahli

Proceedings of the Fifth International Conference on Image and Graphics, 2009