Danqi Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
66
Venues
12
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
66 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | How to Train Long-Context Language Models (Effectively). | Tianyu Gao, Alexander Wettig, Howard Yen, Danqi Chen |
| 2025 | AIES | The Model Hears You: Audio Language Model Deployments Should Consider the Principle of Least Privilege. | Luxi He, Xiangyu Qi, Michel Liao, Inyoung Cheong, Prateek Mittal, Danqi Chen, Peter Henderson |
| 2025 | EMNLP | Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking. | Wuwei Zhang, Fangcong Yin, Howard Yen, Danqi Chen, Xi Ye |
| 2025 | ICLR | Fantastic Copyrighted Beasts and How (Not) to Generate Them. | Luxi He, Yangsibo Huang, Weijia Shi, Tinghao Xie, Haotian Liu, Yue Wang, Luke Zettlemoyer, Chiyuan Zhang, Danqi Chen, Peter Henderson |
| 2025 | ICLR | Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization. | Noam Razin, Sadhika Malladi, Adithya Bhaskar, Danqi Chen, Sanjeev Arora, Boris Hanin |
| 2025 | ICLR | BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval. | Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan . Arik, Danqi Chen, Tao Yu |
| 2025 | ICLR | SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal. | Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal |
| 2025 | ICLR | HELMET: How to Evaluate Long-context Models Effectively and Thoroughly. | Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen |
| 2025 | ICML | Metadata Conditioning Accelerates Language Model Pre-training. | Tianyu Gao, Alexander Wettig, Luxi He, Yihe Dong, Sadhika Malladi, Danqi Chen |
| 2025 | ICML | Organize the Web: Constructing Domains Enhances Pre-Training Data Curation. | Alexander Wettig, Kyle Lo, Sewon Min, Hannaneh Hajishirzi, Danqi Chen, Luca Soldaini |
| 2025 | NAACL | Representing Rule-based Chatbots with Transformers. | Dan Friedman, Abhishek Panigrahi, Danqi Chen |
| 2024 | ACL | The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models. | Adithya Bhaskar, Dan Friedman, Danqi Chen |
| 2024 | ACL | Long-Context Language Modeling with Parallel Context Encoding. | Howard Yen, Tianyu Gao, Danqi Chen |
| 2024 | EMNLP | LitSearch: A Retrieval Benchmark for Scientific Literature Search. | Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao |
| 2024 | ICLR | Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation. | Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen |
| 2024 | ICLR | Detecting Pretraining Data from Large Language Models. | Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer |
| 2024 | ICLR | Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning. | Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen |
| 2024 | ICLR | Evaluating Large Language Models at Evaluating Instruction Following. | Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen |
| 2024 | ICML | Language Models as Science Tutors. | Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Jameson Aragon, Arturo Rodrguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, Zirui Wang, Xindi Wu, Mengzhou Xia, Wenhan Xia, Jiatong Yu, Junjie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen |
| 2024 | ICML | Interpretability Illusions in the Generalization of Simplified Models. | Dan Friedman, Andrew Kyle Lampinen, Lucas Dixon, Danqi Chen, Asma Ghandeharioun |
| 2024 | ICML | QuRating: Selecting High-Quality Data for Training Language Models. | Alexander Wettig, Aatmik Gupta, Saumya Malik, Danqi Chen |
| 2024 | ICML | LESS: Selecting Influential Data for Targeted Instruction Tuning. | Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen |
| 2023 | ACL | What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning. | Jane Pan, Tianyu Gao, Howard Chen, Danqi Chen |
| 2023 | ACL | Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. | Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He |
| 2023 | ACL | Optimizing Test-Time Query Representations for Dense Retrieval. | Mujeen Sung, Jungsoo Park, Jaewoo Kang, Danqi Chen, Jinhyuk Lee |
| 2023 | ACL | Training Trajectories of Language Models Across Scales. | Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov |
| 2023 | EACL | Should You Mask 15% in Masked Language Modeling? | Alexander Wettig, Tianyu Gao, Zexuan Zhong, Danqi Chen |
| 2023 | EMNLP | Adapting Language Models to Compress Contexts. | Alexis Chevalier, Alexander Wettig, Anirudh Ajith, Danqi Chen |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | Enabling Large Language Models to Generate Text with Citations. | Tianyu Gao, Howard Yen, Jiatong Yu, Danqi Chen |
| 2023 | EMNLP | Privacy Implications of Retrieval-Based Language Models. | Yangsibo Huang, Samyak Gupta, Zexuan Zhong, Kai Li, Danqi Chen |
| 2023 | EMNLP | Poisoning Retrieval Corpora by Injecting Adversarial Passages. | Zexuan Zhong, Ziqing Huang, Alexander Wettig, Danqi Chen |
| 2023 | EMNLP | MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. | Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen |
| 2023 | ICML | A Kernel-Based View of Language Model Fine-Tuning. | Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora |
| 2023 | SIGIR | SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023). | Michael Bendersky, Danqi Chen, Fernando Diaz, Hamed Zamani |
| 2022 | ACL | Ditch the Gold Standard: Re-evaluating Conversational Question Answering. | Huihan Li, Tianyu Gao, Manan Goenka, Danqi Chen |
| 2022 | ACL | Structured Pruning Learns Compact and Accurate Models. | Mengzhou Xia, Zexuan Zhong, Danqi Chen |
| 2022 | EMNLP | Finding Dataset Shortcuts with Grammar Induction. | Dan Friedman, Alexander Wettig, Danqi Chen |
| 2022 | EMNLP | MABEL: Attenuating Gender Bias using Textual Entailment Data. | Jacqueline He, Mengzhou Xia, Christiane Fellbaum, Danqi Chen |
| 2022 | EMNLP | Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models. | Mozes van de Kar, Mengzhou Xia, Danqi Chen, Mikel Artetxe |
| 2022 | EMNLP | Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. | Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Veselin Stoyanov |
| 2022 | EMNLP | Generating Natural Language Proofs with Verifier-Guided Search. | Kaiyu Yang, Jia Deng, Danqi Chen |
| 2022 | EMNLP | Training Language Models with Memory Augmentation. | Zexuan Zhong, Tao Lei, Danqi Chen |
| 2022 | NAACL | Can Rationalization Improve Robustness? | Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen |
| 2021 | ACL | Making Pre-trained Language Models Better Few-shot Learners. | Tianyu Gao, Adam Fisch, Danqi Chen |
| 2021 | ACL | Learning Dense Representations of Phrases at Scale. | Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, Danqi Chen |
| 2021 | EMNLP | Single-dataset Experts for Multi-dataset Question Answering. | Dan Friedman, Ben Dodge, Danqi Chen |
| 2021 | EMNLP | SimCSE: Simple Contrastive Learning of Sentence Embeddings. | Tianyu Gao, Xingcheng Yao, Danqi Chen |
| 2021 | EMNLP | Phrase Retrieval Learns Passage Retrieval, Too. | Jinhyuk Lee, Alexander Wettig, Danqi Chen |
| 2021 | EMNLP | Simple Entity-Centric Questions Challenge Dense Retrievers. | Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, Danqi Chen |
| 2021 | NAACL | Non-Parametric Few-Shot Learning for Word Sense Disambiguation. | Howard Chen, Mengzhou Xia, Danqi Chen |
| 2021 | NAACL | A Frustratingly Easy Approach for Entity and Relation Extraction. | Zexuan Zhong, Danqi Chen |
| 2021 | NAACL | Factual Probing Is [MASK]: Learning vs. Learning to Recall. | Zexuan Zhong, Dan Friedman, Danqi Chen |
| 2020 | ACL | Open-Domain Question Answering. | Danqi Chen, Wen-tau Yih |
| 2020 | EMNLP | TextHide: Tackling Data Privacy for Language Understanding Tasks. | Yangsibo Huang, Zhao Song, Danqi Chen, Kai Li, Sanjeev Arora |
| 2020 | EMNLP | Dense Passage Retrieval for Open-Domain Question Answering. | Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih |
| 2019 | EMNLP | A Discrete Hard EM Approach for Weakly Supervised Question Answering. | Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2017 | ACL | Reading Wikipedia to Answer Open-Domain Questions. | Danqi Chen, Adam Fisch, Jason Weston, Antoine Bordes |
| 2017 | EMNLP | Position-aware Attention and Supervised Data Improve Slot Filling. | Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, Christopher D. Manning |
| 2016 | ACL | A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task. | Danqi Chen, Jason Bolton, Christopher D. Manning |
| 2016 | IPCCC | 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 |
| 2015 | EMNLP | Representing Text for Joint Embedding of Text and Knowledge Bases. | Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, Michael Gamon |
| 2014 | EMNLP | A Fast and Accurate Dependency Parser using Neural Networks. | Danqi Chen, Christopher D. Manning |
| 2012 | WSDM | Beyond ten blue links: enabling user click modeling in federated web search. | Danqi Chen, Weizhu Chen, Haixun Wang, Zheng Chen, Qiang Yang |
| 2011 | ICDM | Characterizing Inverse Time Dependency in Multi-class Learning. | Danqi Chen, Weizhu Chen, Qiang Yang |
| 2009 | ICIG | Audio-Visual Emotion Recognition Based on a DBN Model with Constrained Asynchrony. | Danqi Chen, Dongmei Jiang, Ilse Ravyse, Hichem Sahli |