--- title: "Danqi Chen — papers" description: "Danqi Chen: 19 papers in the Elamur Research library (2014–2024) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/danqi-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/danqi-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Danqi Chen # Danqi Chen 19 papers on this site (2014–2024) [OpenAlex](https://openalex.org/A5051064208) · [ORCID](https://orcid.org/0000-0002-6226-6838) · h-index 45 · 236 works · 39918 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [LESS: Selecting Influential Data for Targeted Instruction Tuning](https://md.research.elamur.ai/free/en/papers/xia-2024-less-selecting-influential-data-targeted/) — Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, et al. · 2024 - [Adapting Language Models to Compress Contexts](https://md.research.elamur.ai/free/en/papers/chevalier-2023-adapting-language-models-compress-contexts/) — Alexis Chevalier, Alexander Wettig, Anirudh Ajith, et al. · 2023 - [Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation](https://md.research.elamur.ai/free/en/papers/huang-2023-catastrophic-jailbreak-open-source-llms/) — Yangsibo Huang, Samyak Gupta, Mengzhou Xia, et al. · 2023 - [Enabling Large Language Models to Generate Text with Citations](https://md.research.elamur.ai/free/en/papers/gao-2023-enabling-large-language-models-generate/) — Tianyu Gao, Howard Yen, Jiatong Yu, et al. · 2023 - [Structured Pruning Learns Compact and Accurate Models](https://md.research.elamur.ai/free/en/papers/xia-2022-structured-pruning-learns-compact-accurate/) — Mengzhou Xia, Zexuan Zhong, Danqi Chen · 2022 - [Factual Probing Is MASK: Learning vs. Learning to Recall](https://md.research.elamur.ai/free/en/papers/zhong-2021-factual-probing-is-mask-learning/) — Zexuan Zhong, Dan Friedman, Danqi Chen · 2021 - [Making Pre-trained Language Models Better Few-shot Learners](https://md.research.elamur.ai/free/en/papers/gao-2021-making-pre-trained-language-models/) — Tianyu Gao, Adam Fisch, Danqi Chen · 2021 - [SimCSE: Simple Contrastive Learning of Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/gao-2021-simcse-simple-contrastive-learning-sentence/) — Tianyu Gao, Xingcheng Yao, Danqi Chen · 2021 - [Simple Entity-Centric Questions Challenge Dense Retrievers](https://md.research.elamur.ai/free/en/papers/sciavolino-2021-simple-entity-centric-questions-challenge/) — Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, et al. · 2021 - [A Frustratingly Easy Approach for Entity and Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhong-2020-frustratingly-easy-approach-entity-relation/) — Zexuan Zhong, Danqi Chen · 2020 - [Dense Passage Retrieval for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/karpukhin-2020-dense-passage-retrieval-open-domain/) — Vladimir Karpukhin, Barlas Oguz, Sewon Min, et al. · 2020 - [A Discrete Hard EM Approach for Weakly Supervised Question Answering](https://md.research.elamur.ai/free/en/papers/min-2019-discrete-hard-em-approach-weakly/) — Sewon Min, Danqi Chen, Hannaneh Hajishirzi, et al. · 2019 - [CoQA: A Conversational Question Answering Challenge](https://md.research.elamur.ai/free/en/papers/reddy-2019-coqa-conversational-question-answering-challenge/) — Siva Reddy, Danqi Chen, Christopher D. Manning · 2019 - [MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension](https://md.research.elamur.ai/free/en/papers/fisch-2019-mrqa-2019-shared-task-evaluating/) — Adam Fisch, Alon Talmor, Robin Jia, et al. · 2019 - [SpanBERT: Improving Pre-training by Representing and Predicting Spans](https://md.research.elamur.ai/free/en/papers/joshi-2019-spanbert-improving-pre-training-representing/) — Mandar Joshi, Danqi Chen, Yinhan Liu, et al. · 2019 - [Reading Wikipedia to Answer Open-Domain Questions](https://md.research.elamur.ai/free/en/papers/chen-2017-reading-wikipedia-answer-open-domain/) — Danqi Chen, Adam Fisch, Jason Weston, et al. · 2017 - [A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task](https://md.research.elamur.ai/free/en/papers/chen-2016-thorough-examination-cnn-daily-mail/) — Danqi Chen, Jason Bolton, Christopher D. Manning · 2016 - [Representing Text for Joint Embedding of Text and Knowledge Bases](https://md.research.elamur.ai/free/en/papers/toutanova-2015-representing-text-joint-embedding-text/) — Kristina Toutanova, Danqi Chen, Patrick Pantel, et al. · 2015 - [A Fast and Accurate Dependency Parser using Neural Networks](https://md.research.elamur.ai/free/en/papers/missing-2014-chen-fast-accurate-dependency-parser-neural/) — Danqi Chen, Christopher Manning · 2014