Publications

  • SimCSE: Simple Contrastive Learning of Sentence Embeddings
    Tianyu Gao, Xingcheng Yao, Danqi Chen
    Preprint 2021
    [paper] [code]
  • Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies
    Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
    International Conference on Machine Learning (ICML) 2021
    [paper] [code]
  • Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
    H.J. Austin Wang, Victor Zhong, Karthik Narasimhan
    International Conference on Machine Learning (ICML) 2021
    [paper] [code]
  • Learning Dense Representations of Phrases at Scale
    Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, Danqi Chen
    Association for Computational Linguistics (ACL) 2021
    [paper] [code]
  • Making Pre-trained Language Models Better Few-shot Learners
    Tianyu Gao, Adam Fisch, Danqi Chen
    Association for Computational Linguistics (ACL) 2021
    [paper] [code]
  • Self-Attention Networks Can Process Bounded Hierarchical Languages
    Shunyu Yao, Binghui Peng, Christos Papadimitriou, Karthik Narasimhan
    Association for Computational Linguistics (ACL) 2021
    [paper] [code]
  • Improving Dialog Systems for Negotiation with Personality Modeling
    Runzhe Yang, Jingxiao Chen, Karthik Narasimhan
    Association for Computational Linguistics (ACL) 2021
    [paper]
  • A Frustratingly Easy Approach for Entity and Relation Extraction
    Zexuan Zhong, Danqi Chen
    North American Association for Computational Linguistics (NAACL) 2021
    [paper] [code]
  • Factual Probing Is [MASK]: Learning vs. Learning to Recall
    Zexuan Zhong, Dan Friedman, Danqi Chen
    North American Association for Computational Linguistics (NAACL) 2021
    [paper] [code]
  • Universal Adversarial Attacks with Natural Triggers for Text Classification
    Liwei Song, Xinwei Yu, Hsuan-Tung Peng, Karthik Narasimhan
    North American Association for Computational Linguistics (NAACL) 2021
    [paper] [code]
  • Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents
    Shunyu Yao, Karthik Narasimhan, Matthew Hausknecht
    North American Association for Computational Linguistics (NAACL) 2021
    [paper]
  • Non-Parametric Few-Shot Learning for Word Sense Disambiguation
    Howard Chen, Mengzhou Xia, Danqi Chen
    North American Association for Computational Linguistics (NAACL) 2021
    [paper] [code]
  • m-Stage Epsilon-Greedy Exploration for Reinforcement Learning
    Rohan Rao, Karthik Narasimhan
    AAAI-21 Workshop on Reinforcement Learning in Games 2021
    [paper]
  • Learning Rewards from Linguistic Feedback
    Theodore R. Sumers, Mark K. Ho, Robert D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths
    Thirty-Fifth AAAI Conference on Artificial Intelligence 2021
    [paper]
  • Safe Reinforcement Learning with Natural Language Constraints
    Tsung-Yen Yang, Michael Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan
    Preprint 2020
    [paper]
  • Connecting Context-specific Adaptation in Humans to Meta-learning
    Rachit Dubey, Erin Grant, Michael Luo, Karthik Narasimhan, Thomas Griffiths
    Preprint 2020
    [paper]
  • Keep CALM and Explore: Language Models for Action Generation in Text-based Games
    Shunyu Yao, Rohan Rao, Matthew Hausknecht, Karthik Narasimhan
    Empirical Methods in Natural Language Processing (EMNLP) 2020
    [paper] [code]
  • Dense Passage Retrieval for Open-Domain Question Answering
    Vladimir Karpukhin, Barlas O─čuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih
    Empirical Methods in Natural Language Processing (EMNLP) 2020
    [paper] [code]
  • TextHide: Tackling Data Privacy in Language Understanding Tasks
    Yangsibo Huang, Zhao Song, Danqi Chen, Kai Li, Sanjeev Arora
    Findings of Empirical Methods in Natural Language Processing (EMNLP) 2020
    [paper] [code]
  • Guiding Attention for Self-Supervised Learning with Transformers
    Ameet Deshpande, Karthik Narasimhan
    Findings of Empirical Methods in Natural Language Processing (EMNLP) 2020
    [paper] [code]
  • Robust and Interpretable Grounding of Spatial References with Relation Networks
    Tsung-Yen Yang, Andrew S. Lan, Karthik Narasimhan
    Findings of Empirical Methods in Natural Language Processing (EMNLP) 2020
    [paper] [code]
  • Multimodal Graph Networks for Compositional Generalization in Visual Question Answering
    Raeid Saqur, Karthik Narasimhan
    Neural Information Processing Systems (NeurIPS) 2020
    [paper]
  • Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
    Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
    Neural Information Processing Systems (NeurIPS) 2020
    [paper]
  • SpanBERT: Improving Pre-training by Representing and Predicting Spans
    Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy
    Transactions of the Association of Computational Linguistics (TACL) 2020
    [paper] [code]
  • Towards Unique and Informative Captioning of Images
    Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky
    European Conference on Computer Vision (ECCV) 2020

  • Calibration, Entropy Rates, and Memory in Language Models
    Mark Braverman, Xinyi Chen, Sham Kakade, Karthik Narasimhan, Cyril Zhang, Yi Zhang
    International Conference on Machine Learning (ICML) 2020
    [paper]
  • Projection Based Constrained Policy Optimization
    Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
    International Conference on Learning Representations (ICLR) 2020
    [paper]
  • Take the scenic route: improving generalization in vision-and-language navigation
    Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
    CVPR Visual Learning with Limited Labels Workshop 2020
    [paper]
  • Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering
    Sewon Min, Danqi Chen, Luke Zettlemoyer, Hannaneh Hajishirzi
    Preprint 2019
    [paper]
  • 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
    Preprint 2019
    [paper] [code]
  • A Discrete Hard EM Approach for Weakly Supervised Question Answering
    Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer
    Empirical Methods in Natural Language Processing (EMNLP) 2019
    [paper] [code]
  • CoQA: A Conversational Question Answering Challenge
    Siva Reddy, Danqi Chen, Christopher D. Manning
    Transactions of the Association of Computational Linguistics (TACL) 2019
    [paper] [code] [www]
  • MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension
    Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, Danqi Chen
    Proceedings of 2nd Machine Reading for Reading Comprehension (MRQA) Workshop at EMNLP 2019
    [paper] [code]
  • A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
    Runzhe Yang, Xingyuan Sun, Karthik Narasimhan
    Neural Information Processing Systems (NeurIPS) 2019
    [paper]
  • Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
    Yilun Du, Karthik Narasimhan
    International Conference on Machine Learning (ICML) 2019
    [paper] [code]
  • A System-Wide Debugging Assistant Powered by Natural Language Processing
    Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Ravi Netravali
    Proceedings of the ACM Symposium on Cloud Computing 2019
    [paper]