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ORCIDKarthik Narasimhan
Person information
- affiliation: Princeton University, Department of Computer Science, NJ, USA
- affiliation (PhD 2017): Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
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2020 – today
- 2022
[c38]Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan:
CARETS: A Consistency And Robustness Evaluative Test Suite for VQA. ACL (1) 2022: 6392-6405- [c37]Jens Tuyls, Shunyu Yao, Sham M. Kakade, Karthik Narasimhan:
Multi-Stage Episodic Control for Strategic Exploration in Text Games. ICLR 2022 - [c36]Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan:
Linking Emergent and Natural Languages via Corpus Transfer. ICLR 2022 - [c35]Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, Ravi Netravali:
Revelio: ML-Generated Debugging Queries for Finding Root Causes in Distributed Systems. MLSys 2022 - [c34]Ameet Deshpande, Partha Talukdar, Karthik Narasimhan:
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer. NAACL-HLT 2022: 3610-3623 - [c33]Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen:
Can Rationalization Improve Robustness? NAACL-HLT 2022: 3792-3805 - [i43]Jens Tuyls, Shunyu Yao, Sham M. Kakade, Karthik Narasimhan:
Multi-Stage Episodic Control for Strategic Exploration in Text Games. CoRR abs/2201.01251 (2022) - [i42]Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky:
Multi-query Video Retrieval. CoRR abs/2201.03639 (2022) - [i41]Vishvak Murahari, Carlos E. Jimenez, Runzhe Yang, Karthik Narasimhan:
DataMUX: Data Multiplexing for Neural Networks. CoRR abs/2202.09318 (2022) - [i40]Austin W. Hanjie, Ameet Deshpande, Karthik Narasimhan:
Semantic Supervision: Enabling Generalization over Output Spaces. CoRR abs/2202.13100 (2022) - [i39]Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan:
CARETS: A Consistency And Robustness Evaluative Test Suite for VQA. CoRR abs/2203.07613 (2022) - [i38]Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan:
Linking Emergent and Natural Languages via Corpus Transfer. CoRR abs/2203.13344 (2022) - [i37]Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen:
Can Rationalization Improve Robustness? CoRR abs/2204.11790 (2022) - [i36]Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Nathaniel D. Daw, Jonathan D. Cohen, Karthik Narasimhan, Thomas L. Griffiths:
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. CoRR abs/2205.11558 (2022) - [i35]Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik Narasimhan, Anirudha Majumdar:
Leveraging Language for Accelerated Learning of Tool Manipulation. CoRR abs/2206.13074 (2022) - [i34]Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan:
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents. CoRR abs/2207.01206 (2022) - 2021
- [c32]Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths:
Learning Rewards From Linguistic Feedback. AAAI 2021: 6002-6010 - [c31]Runzhe Yang, Jingxiao Chen, Karthik Narasimhan:
Improving Dialog Systems for Negotiation with Personality Modeling. ACL/IJCNLP (1) 2021: 681-693 - [c30]Shunyu Yao, Binghui Peng, Christos H. Papadimitriou, Karthik Narasimhan:
Self-Attention Networks Can Process Bounded Hierarchical Languages. ACL/IJCNLP (1) 2021: 3770-3785 - [c29]Austin W. Hanjie, Victor Zhong, Karthik Narasimhan:
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning. ICML 2021: 4051-4062 - [c28]Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge:
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies. ICML 2021: 11795-11807 - [c27]Shunyu Yao, Karthik Narasimhan, Matthew J. Hausknecht:
Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents. NAACL-HLT 2021: 3097-3102 - [c26]Liwei Song, Xinwei Yu, Hsuan-Tung Peng, Karthik Narasimhan:
Universal Adversarial Attacks with Natural Triggers for Text Classification. NAACL-HLT 2021: 3724-3733 - [c25]Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan:
Safe Reinforcement Learning with Natural Language Constraints. NeurIPS 2021: 13794-13808 - [c24]Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer:
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark. NeurIPS 2021: 21505-21519 - [i33]H. J. Austin Wang, Karthik Narasimhan:
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning. CoRR abs/2101.07393 (2021) - [i32]Shunyu Yao, Karthik Narasimhan, Matthew J. Hausknecht:
Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents. CoRR abs/2103.13552 (2021) - [i31]Shunyu Yao, Binghui Peng, Christos H. Papadimitriou, Karthik Narasimhan:
Self-Attention Networks Can Process Bounded Hierarchical Languages. CoRR abs/2105.11115 (2021) - [i30]Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, Ravi Netravali:
Revelio: ML-Generated Debugging Queries for Distributed Systems. CoRR abs/2106.14347 (2021) - [i29]Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer:
SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark. CoRR abs/2110.10661 (2021) - [i28]Ameet Deshpande, Partha Talukdar, Karthik Narasimhan:
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer. CoRR abs/2110.14782 (2021) - 2020
- [c23]Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. CVPR Workshops 2020: 4000-4004 - [c22]Zeyu Wang
, Berthy Feng, Karthik Narasimhan, Olga Russakovsky:
Towards Unique and Informative Captioning of Images. ECCV (7) 2020: 629-644 - [c21]Tsung-Yen Yang, Andrew S. Lan, Karthik Narasimhan:
Robust and Interpretable Grounding of Spatial References with Relation Networks. EMNLP (Findings) 2020: 1908-1923 - [c20]Ameet Deshpande, Karthik Narasimhan:
Guiding Attention for Self-Supervised Learning with Transformers. EMNLP (Findings) 2020: 4676-4686 - [c19]Shunyu Yao, Rohan Rao, Matthew J. Hausknecht, Karthik Narasimhan:
Keep CALM and Explore: Language Models for Action Generation in Text-based Games. EMNLP (1) 2020: 8736-8754 - [c18]Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge:
Projection-Based Constrained Policy Optimization. ICLR 2020 - [c17]Mark Braverman, Xinyi Chen, Sham M. Kakade, Karthik Narasimhan, Cyril Zhang, Yi Zhang:
Calibration, Entropy Rates, and Memory in Language Models. ICML 2020: 1089-1099 - [c16]Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation. NeurIPS 2020 - [c15]Raeid Saqur, Karthik Narasimhan:
Multimodal Graph Networks for Compositional Generalization in Visual Question Answering. NeurIPS 2020 - [i27]Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. CoRR abs/2003.14269 (2020) - [i26]Liwei Song, Xinwei Yu, Hsuan-Tung Peng, Karthik Narasimhan:
Universal Adversarial Attacks with Natural Triggers for Text Classification. CoRR abs/2005.00174 (2020) - [i25]Tsung-Yen Yang, Karthik Narasimhan:
Robust and Interpretable Grounding of Spatial References with Relation Networks. CoRR abs/2005.00696 (2020) - [i24]Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge:
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies. CoRR abs/2006.11645 (2020) - [i23]Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky:
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation. CoRR abs/2007.05655 (2020) - [i22]Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky:
Towards Unique and Informative Captioning of Images. CoRR abs/2009.03949 (2020) - [i21]Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths:
Learning Rewards from Linguistic Feedback. CoRR abs/2009.14715 (2020) - [i20]Ameet Deshpande, Karthik Narasimhan:
Guiding Attention for Self-Supervised Learning with Transformers. CoRR abs/2010.02399 (2020) - [i19]Shunyu Yao, Rohan Rao, Matthew J. Hausknecht, Karthik Narasimhan:
Keep CALM and Explore: Language Models for Action Generation in Text-based Games. CoRR abs/2010.02903 (2020) - [i18]Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge:
Projection-Based Constrained Policy Optimization. CoRR abs/2010.03152 (2020) - [i17]Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan:
Safe Reinforcement Learning with Natural Language Constraints. CoRR abs/2010.05150 (2020) - [i16]Runzhe Yang, Jingxiao Chen, Karthik Narasimhan:
Generating Strategic Dialogue for Negotiation with Theory of Mind. CoRR abs/2010.09954 (2020) - [i15]Rachit Dubey, Erin Grant, Michael Luo, Karthik Narasimhan, Thomas L. Griffiths:
Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information. CoRR abs/2011.13782 (2020)
2010 – 2019
- 2019
- [c14]Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Ravi Netravali:
A System-Wide Debugging Assistant Powered by Natural Language Processing. SoCC 2019: 171-177 - [c13]Yilun Du, Karthik Narasimhan:
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning. ICML 2019: 1696-1705 - [c12]Runzhe Yang, Xingyuan Sun, Karthik Narasimhan:
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation. NeurIPS 2019: 14610-14621 - [i14]Yilun Du, Karthik Narasimhan:
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning. CoRR abs/1905.04819 (2019) - [i13]Mark Braverman, Xinyi Chen, Sham M. Kakade, Karthik Narasimhan, Cyril Zhang, Yi Zhang:
Calibration, Entropy Rates, and Memory in Language Models. CoRR abs/1906.05664 (2019) - [i12]Runzhe Yang, Xingyuan Sun, Karthik Narasimhan:
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation. CoRR abs/1908.08342 (2019) - 2018
- [j4]Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola:
Grounding Language for Transfer in Deep Reinforcement Learning. J. Artif. Intell. Res. 63: 849-874 (2018) - [j3]Michaela Jänner, Karthik Narasimhan, Regina Barzilay:
Representation Learning for Grounded Spatial Reasoning. Trans. Assoc. Comput. Linguistics 6: 49-61 (2018) - 2017
- [b1]Karthik Narasimhan:
Grounding natural language with autonomous interaction. Massachusetts Institute of Technology, Cambridge, USA, 2017 - [j2]Jiaming Luo, Karthik Narasimhan, Regina Barzilay:
Unsupervised Learning of Morphological Forests. Trans. Assoc. Comput. Linguistics 5: 353-364 (2017) - [c11]Charl Johannes van Heerden, Damianos G. Karakos, Karthik Narasimhan, Marelie H. Davel, Richard M. Schwartz:
Constructing sub-word units for spoken term detection. ICASSP 2017: 5780-5784 - [i11]Jiaming Luo, Karthik Narasimhan, Regina Barzilay:
Unsupervised Learning of Morphological Forests. CoRR abs/1702.07015 (2017) - [i10]Michaela Jänner, Karthik Narasimhan, Regina Barzilay:
Representation Learning for Grounded Spatial Reasoning. CoRR abs/1707.03938 (2017) - [i9]Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola:
Deep Transfer in Reinforcement Learning by Language Grounding. CoRR abs/1708.00133 (2017) - 2016
- [c10]Kayhan N. Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, Samuel Gershman:
Nonparametric Spherical Topic Modeling with Word Embeddings. ACL (2) 2016 - [c9]Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay:
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge. EMNLP 2016: 1918-1923 - [c8]Karthik Narasimhan, Adam Yala, Regina Barzilay:
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. EMNLP 2016: 2355-2365 - [c7]Tejas D. Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Josh Tenenbaum:
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation. NIPS 2016: 3675-3683 - [c6]Yewen Pu, Karthik Narasimhan, Armando Solar-Lezama, Regina Barzilay:
sk_p: a neural program corrector for MOOCs. SPLASH (Companion Volume) 2016: 39-40 - [i8]Karthik Narasimhan, Adam Yala, Regina Barzilay:
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. CoRR abs/1603.07954 (2016) - [i7]Kayhan N. Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, Samuel Gershman:
Nonparametric Spherical Topic Modeling with Word Embeddings. CoRR abs/1604.00126 (2016) - [i6]Tejas D. Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Joshua B. Tenenbaum:
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation. CoRR abs/1604.06057 (2016) - [i5]Yewen Pu, Karthik Narasimhan, Armando Solar-Lezama, Regina Barzilay:
sk_p: a neural program corrector for MOOCs. CoRR abs/1607.02902 (2016) - [i4]Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay:
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge. CoRR abs/1608.03000 (2016) - 2015
- [j1]Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola:
An Unsupervised Method for Uncovering Morphological Chains. Trans. Assoc. Comput. Linguistics 3: 157-167 (2015) - [c5]Karthik Narasimhan, Regina Barzilay:
Machine Comprehension with Discourse Relations. ACL (1) 2015: 1253-1262 - [c4]Karthik Narasimhan, Tejas D. Kulkarni, Regina Barzilay:
Language Understanding for Text-based Games using Deep Reinforcement Learning. EMNLP 2015: 1-11 - [c3]Jonathan H. Huggins, Karthik Narasimhan, Ardavan Saeedi, Vikash Mansinghka:
JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes. ICML 2015: 693-701 - [i3]Jonathan H. Huggins, Karthik Narasimhan, Ardavan Saeedi, Vikash K. Mansinghka:
JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes. CoRR abs/1503.00332 (2015) - [i2]Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola:
An Unsupervised Method for Uncovering Morphological Chains. CoRR abs/1503.02335 (2015) - [i1]Karthik Narasimhan, Tejas D. Kulkarni, Regina Barzilay:
Language Understanding for Text-based Games Using Deep Reinforcement Learning. CoRR abs/1506.08941 (2015) - 2014
- [c2]Karthik Narasimhan, Damianos G. Karakos, Richard M. Schwartz, Stavros Tsakalidis, Regina Barzilay:
Morphological Segmentation for Keyword Spotting. EMNLP 2014: 880-885
1990 – 1999
- 1999
- [c1]Karthik Narasimhan, José C. Príncipe, Donald G. Childers:
Nonlinear dynamic modeling of the voiced excitation for improved speech synthesis. ICASSP 1999: 389-392
Coauthor Index
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