Karthik Narasimhan

147 papers A* 27Misc 2Journal 90Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs. ACM Comput. Surv. Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande, Bruno Castro da Silva
2026	J	`jnl`	τ-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge. CoRR Quan Shi, Alexandra Zytek, Pedram Razavi, Karthik Narasimhan, Victor Barres
2026	J	`jnl`	τ-Voice: Benchmarking Full-Duplex Voice Agents on Real-World Domains. CoRR Soham Ray, Keshav Dhandhania, Victor Barres, Karthik Narasimhan
2025	J	`jnl`	Contextual Experience Replay for Self-Improvement of Language Agents. CoRR Yitao Liu, Chenglei Si, Karthik Narasimhan, Shunyu Yao
2025	J	`jnl`	IMPersona: Evaluating Individual Level LM Impersonation. CoRR Quan Shi, Carlos E. Jimenez, Stephen Dong, Brian Seo, Caden Yao, Adam Kelch, Karthik Narasimhan
2025	—	`conf`	LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks. COLING (Industry) Akshara Prabhakar, Yuanzhi Li, Karthik Narasimhan, Sham M. Kakade, Eran Malach, Samy Jelassi
2025	J	`jnl`	Probing AI Safety with Source Code. CoRR Ujwal Narayan, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Karthik Narasimhan, Ameet Deshpande, Vishvak Murahari
2025	J	`jnl`	Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting. CoRR Howard Chen, Noam Razin, Karthik Narasimhan, Danqi Chen
2025	J	`jnl`	ShieldGemma 2: Robust and Tractable Image Content Moderation. CoRR Wenjun Zeng, Dana Kurniawan, Ryan Mullins, Yuchi Liu, Tamoghna Saha, Dirichi Ike-Njoku, Jindong Gu, Yiwen Song, Cai Xu, Jingjing Zhou, Aparna Joshi, Shravan Dheep, Mani Malek, Hamid Palangi, Joon Baek, Rick Pereira, Karthik Narasimhan
2025	J	`jnl`	When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration. CoRR Quan Shi, Carlos E. Jimenez, Shunyu Yao, Nick Haber, Diyi Yang, Karthik Narasimhan
2025	J	`jnl`	τ CoRR Victor Barres, Honghua Dong, Soham Ray, Xujie Si, Karthik Narasimhan
2024	J	`jnl`	An Annotated Dataset of Errors in Premodern Greek and Baselines for Detecting Them. CoRR Creston Brooks, Johannes Haubold, Charlie Cowen-Breen, Jay White, Desmond DeVaul, Frederick Riemenschneider, Karthik Narasimhan, Barbara Graziosi
2024	J	`jnl`	Can Language Models Solve Olympiad Programming? CoRR Quan Shi, Michael Tang, Karthik Narasimhan, Shunyu Yao
2024	J	`jnl`	Cognitive Architectures for Language Agents. Trans. Mach. Learn. Res. Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths
2024	J	`jnl`	EnIGMA: Enhanced Interactive Generative Model Agent for CTF Challenges. CoRR Talor Abramovich, Meet Udeshi, Minghao Shao, Kilian Lieret, Haoran Xi, Kimberly Milner, Sofija Jancheska, John Yang, Carlos E. Jimenez, Farshad Khorrami, Prashanth Krishnamurthy, Brendan Dolan-Gavitt, Muhammad Shafique, Karthik Narasimhan, Ramesh Karri, Ofir Press
2024	A*	`conf`	GEO: Generative Engine Optimization. KDD Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande
2024	—	`conf`	InstructEval: Systematic Evaluation of Instruction Selection Methods. NAACL-HLT (Findings) Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan
2024	J	`jnl`	LLMs are Superior Feedback Providers: Bootstrapping Reasoning for Lie Detection with Self-Generated Feedback. CoRR Tanushree Banerjee, Richard Zhu, Runzhe Yang, Karthik Narasimhan
2024	J	`jnl`	Language-Guided World Models: A Model-Based Approach to AI Control. CoRR Alex Zhang, Khanh Nguyen, Jens Tuyls, Albert Lin, Karthik Narasimhan
2024	J	`jnl`	LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks. CoRR Akshara Prabhakar, Yuanzhi Li, Karthik Narasimhan, Sham M. Kakade, Eran Malach, Samy Jelassi
2024	J	`jnl`	PersonaGym: Evaluating Persona Agents and LLMs. CoRR Vinay Samuel, Henry Peng Zou, Yue Zhou, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Ameet Deshpande, Karthik Narasimhan, Vishvak Murahari
2024	—	`conf`	QualEval: Qualitative Evaluation for Model Improvement. NAACL-HLT Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
2024	J	`jnl`	RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs. CoRR Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande, Bruno Castro da Silva
2024	—	`conf`	Referral Augmentation for Zero-Shot Information Retrieval. ACL (Findings) Michael Tang, Shunyu Yao, John Yang, Karthik Narasimhan
2024	A*	`conf`	SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering. NeurIPS John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, Ofir Press
2024	J	`jnl`	SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering. CoRR John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, Ofir Press
2024	J	`jnl`	ShieldGemma: Generative AI Content Moderation Based on Gemma. CoRR Wenjun Zeng, Yuchi Liu, Ryan Mullins, Ludovic Peran, Joe Fernandez, Hamza Harkous, Karthik Narasimhan, Drew Proud, Piyush Kumar, Bhaktipriya Radharapu, Olivia Sturman, Oscar Wahltinez
2024	J	`jnl`	τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains. CoRR Shunyu Yao, Noah Shinn, Pedram Razavi, Karthik Narasimhan
2023	J	`jnl`	Anthropomorphization of AI: Opportunities and Risks. CoRR Ameet Deshpande, Tanmay Rajpurohit, Karthik Narasimhan, Ashwin Kalyan
2023	J	`jnl`	Building Scalable Video Understanding Benchmarks through Sports. CoRR Aniket Agarwal, Alex Zhang, Karthik Narasimhan, Igor Gilitschenski, Vishvak Murahari, Yash Kant
2023	A*	`conf`	C-STS: Conditional Semantic Textual Similarity. EMNLP Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan
2023	J	`jnl`	COLLIE: Systematic Construction of Constrained Text Generation Tasks. CoRR Shunyu Yao, Howard Chen, Austin W. Hanjie, Runzhe Yang, Karthik Narasimhan
2023	J	`jnl`	CSTS: Conditional Semantic Textual Similarity. CoRR Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan
2023	J	`jnl`	Cognitive Architectures for Language Agents. CoRR Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths
2023	J	`jnl`	FireAct: Toward Language Agent Fine-tuning. CoRR Baian Chen, Chang Shu, Ehsan Shareghi, Nigel Collier, Karthik Narasimhan, Shunyu Yao
2023	J	`jnl`	InstructEval: Systematic Evaluation of Instruction Selection Methods. CoRR Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan
2023	A*	`conf`	InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback. NeurIPS John Yang, Akshara Prabhakar, Karthik Narasimhan, Shunyu Yao
2023	J	`jnl`	InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback. CoRR John Yang, Akshara Prabhakar, Karthik Narasimhan, Shunyu Yao
2023	—	`conf`	MUX-PLMs: Data Multiplexing for High-throughput Language Models. EMNLP (Findings) Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan
2023	—	`conf`	MUX-PLMs: Pre-training Language Models with Data Multiplexing. RepL4NLP@ACL Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan
2023	J	`jnl`	MUX-PLMs: Pre-training Language Models with Data Multiplexing. CoRR Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan
2023	J	`jnl`	Progressively Efficient Learning. CoRR Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan
2023	—	`conf`	PruMUX: Augmenting Data Multiplexing with Model Compression. ACL (Findings) Yushan Su, Vishvak Murahari, Karthik Narasimhan, Kai Li
2023	J	`jnl`	PruMUX: Augmenting Data Multiplexing with Model Compression. CoRR Yushan Su, Vishvak Murahari, Karthik Narasimhan, Kai Li
2023	J	`jnl`	QualEval: Qualitative Evaluation for Model Improvement. CoRR Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
2023	J	`jnl`	Referral Augmentation for Zero-Shot Information Retrieval. CoRR Michael Tang, Shunyu Yao, John Yang, Karthik Narasimhan
2023	A*	`conf`	Reflexion: language agents with verbal reinforcement learning. NeurIPS Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao
2023	J	`jnl`	SWE-bench: Can Language Models Resolve Real-World GitHub Issues? CoRR Carlos E. Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, Karthik Narasimhan
2023	J	`jnl`	Scaling Laws for Imitation Learning in NetHack. CoRR Jens Tuyls, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Karthik Narasimhan, Sham M. Kakade
2023	J	`jnl`	SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification. CoRR Pranjal Aggarwal, Ameet Deshpande, Karthik Narasimhan
2023	J	`jnl`	Toxicity in ChatGPT: Analyzing Persona-assigned Language Models. CoRR Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan
2023	—	`conf`	Toxicity in chatgpt: Analyzing persona-assigned language models. EMNLP (Findings) Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan
2023	A*	`conf`	Tree of Thoughts: Deliberate Problem Solving with Large Language Models. NeurIPS Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, Karthik Narasimhan
2023	J	`jnl`	Tree of Thoughts: Deliberate Problem Solving with Large Language Models. CoRR Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, Karthik Narasimhan
2022	J	`jnl`	ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training. CoRR Henry Tang, Ameet Deshpande, Karthik Narasimhan
2022	—	`conf`	CARETS: A Consistency And Robustness Evaluative Test Suite for VQA. ACL (1) Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan
2022	J	`jnl`	CARETS: A Consistency And Robustness Evaluative Test Suite for VQA. CoRR Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan
2022	—	`conf`	Can Rationalization Improve Robustness? NAACL-HLT Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen
2022	J	`jnl`	Can Rationalization Improve Robustness? CoRR Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen
2022	J	`jnl`	Controllable Text Generation with Language Constraints. CoRR Howard Chen, Huihan Li, Danqi Chen, Karthik Narasimhan
2022	A*	`conf`	DataMUX: Data Multiplexing for Neural Networks. NeurIPS Vishvak Murahari, Carlos E. Jimenez, Runzhe Yang, Karthik Narasimhan
2022	J	`jnl`	DataMUX: Data Multiplexing for Neural Networks. CoRR Vishvak Murahari, Carlos E. Jimenez, Runzhe Yang, Karthik Narasimhan
2022	A*	`conf`	Learning Physics Constrained Dynamics Using Autoencoders. NeurIPS Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
2022	J	`jnl`	Leveraging Language for Accelerated Learning of Tool Manipulation. CoRR Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik Narasimhan, Anirudha Majumdar
2022	A*	`conf`	Multi-Stage Episodic Control for Strategic Exploration in Text Games. ICLR Jens Tuyls, Shunyu Yao, Sham M. Kakade, Karthik Narasimhan
2022	J	`jnl`	Multi-Stage Episodic Control for Strategic Exploration in Text Games. CoRR Jens Tuyls, Shunyu Yao, Sham M. Kakade, Karthik Narasimhan
2022	—	`conf`	Multi-query Video Retrieval. ECCV (14) Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky
2022	J	`jnl`	Multi-query Video Retrieval. CoRR Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky
2022	J	`jnl`	ReAct: Synergizing Reasoning and Acting in Language Models. CoRR Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao
2022	—	`conf`	Revelio: ML-Generated Debugging Queries for Finding Root Causes in Distributed Systems. MLSys Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, Ravi Netravali
2022	J	`jnl`	SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers. CoRR Ameet Deshpande, Md. Arafat Sultan, Anthony Ferritto, Ashwin Kalyan, Karthik Narasimhan, Avirup Sil
2022	J	`jnl`	Semantic Supervision: Enabling Generalization over Output Spaces. CoRR Austin W. Hanjie, Ameet Deshpande, Karthik Narasimhan
2022	J	`jnl`	Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. CoRR 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
2022	A*	`conf`	Using natural language and program abstractions to instill human inductive biases in machines. NeurIPS Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Jonathan D. Cohen, Nathaniel D. Daw, Karthik Narasimhan, Tom Griffiths
2022	A*	`conf`	WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents. NeurIPS Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan
2022	J	`jnl`	WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents. CoRR Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan
2022	—	`conf`	When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer. NAACL-HLT Ameet Deshpande, Partha Talukdar, Karthik Narasimhan
2021	A*	`conf`	Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies. ICML Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
2021	A*	`conf`	Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning. ICML Austin W. Hanjie, Victor Zhong, Karthik Narasimhan
2021	J	`jnl`	Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning. CoRR H. J. Austin Wang, Karthik Narasimhan
2021	—	`conf`	Improving Dialog Systems for Negotiation with Personality Modeling. ACL/IJCNLP (1) Runzhe Yang, Jingxiao Chen, Karthik Narasimhan
2021	A*	`conf`	Learning Rewards From Linguistic Feedback. AAAI Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths
2021	—	`conf`	Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents. NAACL-HLT Shunyu Yao, Karthik Narasimhan, Matthew J. Hausknecht
2021	J	`jnl`	Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents. CoRR Shunyu Yao, Karthik Narasimhan, Matthew J. Hausknecht
2021	J	`jnl`	Revelio: ML-Generated Debugging Queries for Distributed Systems. CoRR Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, Ravi Netravali
2021	A*	`conf`	SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark. NeurIPS Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer
2021	J	`jnl`	SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark. CoRR Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer
2021	A*	`conf`	Safe Reinforcement Learning with Natural Language Constraints. NeurIPS Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan
2021	—	`conf`	Self-Attention Networks Can Process Bounded Hierarchical Languages. ACL/IJCNLP (1) Shunyu Yao, Binghui Peng, Christos H. Papadimitriou, Karthik Narasimhan
2021	J	`jnl`	Self-Attention Networks Can Process Bounded Hierarchical Languages. CoRR Shunyu Yao, Binghui Peng, Christos H. Papadimitriou, Karthik Narasimhan
2021	—	`conf`	Universal Adversarial Attacks with Natural Triggers for Text Classification. NAACL-HLT Liwei Song, Xinwei Yu, Hsuan-Tung Peng, Karthik Narasimhan
2021	J	`jnl`	When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer. CoRR Ameet Deshpande, Partha Talukdar, Karthik Narasimhan
2020	J	`jnl`	Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies. CoRR Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
2020	A*	`conf`	Calibration, Entropy Rates, and Memory in Language Models. ICML Mark Braverman, Xinyi Chen, Sham M. Kakade, Karthik Narasimhan, Cyril Zhang, Yi Zhang
2020	J	`jnl`	Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information. CoRR Rachit Dubey, Erin Grant, Michael Luo, Karthik Narasimhan, Thomas L. Griffiths
2020	A*	`conf`	Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation. NeurIPS Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
2020	J	`jnl`	Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation. CoRR Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
2020	J	`jnl`	Generating Strategic Dialogue for Negotiation with Theory of Mind. CoRR Runzhe Yang, Jingxiao Chen, Karthik Narasimhan
2020	—	`conf`	Guiding Attention for Self-Supervised Learning with Transformers. EMNLP (Findings) Ameet Deshpande, Karthik Narasimhan
2020	J	`jnl`	Guiding Attention for Self-Supervised Learning with Transformers. CoRR Ameet Deshpande, Karthik Narasimhan
2020	—	`conf`	Keep CALM and Explore: Language Models for Action Generation in Text-based Games. EMNLP (1) Shunyu Yao, Rohan Rao, Matthew J. Hausknecht, Karthik Narasimhan
2020	J	`jnl`	Keep CALM and Explore: Language Models for Action Generation in Text-based Games. CoRR Shunyu Yao, Rohan Rao, Matthew J. Hausknecht, Karthik Narasimhan
2020	J	`jnl`	Learning Rewards from Linguistic Feedback. CoRR Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths
2020	A*	`conf`	Multimodal Graph Networks for Compositional Generalization in Visual Question Answering. NeurIPS Raeid Saqur, Karthik Narasimhan
2020	A*	`conf`	Projection-Based Constrained Policy Optimization. ICLR Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
2020	J	`jnl`	Projection-Based Constrained Policy Optimization. CoRR Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
2020	—	`conf`	Robust and Interpretable Grounding of Spatial References with Relation Networks. EMNLP (Findings) Tsung-Yen Yang, Andrew S. Lan, Karthik Narasimhan
2020	J	`jnl`	Robust and Interpretable Grounding of Spatial References with Relation Networks. CoRR Tsung-Yen Yang, Karthik Narasimhan
2020	J	`jnl`	Safe Reinforcement Learning with Natural Language Constraints. CoRR Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan
2020	—	`conf`	Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. CVPR Workshops Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
2020	J	`jnl`	Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. CoRR Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
2020	—	`conf`	Towards Unique and Informative Captioning of Images. ECCV (7) Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky
2020	J	`jnl`	Towards Unique and Informative Captioning of Images. CoRR Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky
2020	J	`jnl`	Universal Adversarial Attacks with Natural Triggers for Text Classification. CoRR Liwei Song, Xinwei Yu, Hsuan-Tung Peng, Karthik Narasimhan
2019	A*	`conf`	A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation. NeurIPS Runzhe Yang, Xingyuan Sun, Karthik Narasimhan
2019	J	`jnl`	A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation. CoRR Runzhe Yang, Xingyuan Sun, Karthik Narasimhan
2019	—	`conf`	A System-Wide Debugging Assistant Powered by Natural Language Processing. SoCC Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Ravi Netravali
2019	J	`jnl`	Calibration, Entropy Rates, and Memory in Language Models. CoRR Mark Braverman, Xinyi Chen, Sham M. Kakade, Karthik Narasimhan, Cyril Zhang, Yi Zhang
2019	A*	`conf`	Task-Agnostic Dynamics Priors for Deep Reinforcement Learning. ICML Yilun Du, Karthik Narasimhan
2019	J	`jnl`	Task-Agnostic Dynamics Priors for Deep Reinforcement Learning. CoRR Yilun Du, Karthik Narasimhan
2018	J	`jnl`	Grounding Language for Transfer in Deep Reinforcement Learning. J. Artif. Intell. Res. Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola
2018	J	`jnl`	Representation Learning for Grounded Spatial Reasoning. Trans. Assoc. Comput. Linguistics Michaela Jänner, Karthik Narasimhan, Regina Barzilay
2017	Misc	`conf`	Constructing sub-word units for spoken term detection. ICASSP Charl Johannes van Heerden, Damianos G. Karakos, Karthik Narasimhan, Marelie H. Davel, Richard M. Schwartz
2017	J	`jnl`	Deep Transfer in Reinforcement Learning by Language Grounding. CoRR Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola
2017	—	`—`	Grounding natural language with autonomous interaction. Karthik Narasimhan
2017	J	`jnl`	Representation Learning for Grounded Spatial Reasoning. CoRR Michaela Jänner, Karthik Narasimhan, Regina Barzilay
2017	J	`jnl`	Unsupervised Learning of Morphological Forests. CoRR Jiaming Luo, Karthik Narasimhan, Regina Barzilay
2017	J	`jnl`	Unsupervised Learning of Morphological Forests. Trans. Assoc. Comput. Linguistics Jiaming Luo, Karthik Narasimhan, Regina Barzilay
2016	—	`conf`	Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation. NIPS Tejas D. Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Josh Tenenbaum
2016	J	`jnl`	Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation. CoRR Tejas D. Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Joshua B. Tenenbaum
2016	A*	`conf`	Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. EMNLP Karthik Narasimhan, Adam Yala, Regina Barzilay
2016	J	`jnl`	Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. CoRR Karthik Narasimhan, Adam Yala, Regina Barzilay
2016	A*	`conf`	Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge. EMNLP Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay
2016	J	`jnl`	Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge. CoRR Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay
2016	—	`conf`	Nonparametric Spherical Topic Modeling with Word Embeddings. ACL (2) Kayhan N. Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, Samuel Gershman
2016	J	`jnl`	Nonparametric Spherical Topic Modeling with Word Embeddings. CoRR Kayhan N. Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, Samuel Gershman
2016	—	`conf`	sk_p: a neural program corrector for MOOCs. SPLASH (Companion Volume) Yewen Pu, Karthik Narasimhan, Armando Solar-Lezama, Regina Barzilay
2016	J	`jnl`	sk_p: a neural program corrector for MOOCs. CoRR Yewen Pu, Karthik Narasimhan, Armando Solar-Lezama, Regina Barzilay
2015	J	`jnl`	An Unsupervised Method for Uncovering Morphological Chains. CoRR Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola
2015	J	`jnl`	An Unsupervised Method for Uncovering Morphological Chains. Trans. Assoc. Comput. Linguistics Karthik Narasimhan, Regina Barzilay, Tommi S. Jaakkola
2015	A*	`conf`	JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes. ICML Jonathan H. Huggins, Karthik Narasimhan, Ardavan Saeedi, Vikash Mansinghka
2015	J	`jnl`	JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes. CoRR Jonathan H. Huggins, Karthik Narasimhan, Ardavan Saeedi, Vikash K. Mansinghka
2015	J	`jnl`	Language Understanding for Text-based Games Using Deep Reinforcement Learning. CoRR Karthik Narasimhan, Tejas D. Kulkarni, Regina Barzilay
2015	A*	`conf`	Language Understanding for Text-based Games using Deep Reinforcement Learning. EMNLP Karthik Narasimhan, Tejas D. Kulkarni, Regina Barzilay
2015	—	`conf`	Machine Comprehension with Discourse Relations. ACL (1) Karthik Narasimhan, Regina Barzilay
2014	A*	`conf`	Morphological Segmentation for Keyword Spotting. EMNLP Karthik Narasimhan, Damianos G. Karakos, Richard M. Schwartz, Stavros Tsakalidis, Regina Barzilay
1999	Misc	`conf`	Nonlinear dynamic modeling of the voiced excitation for improved speech synthesis. ICASSP Karthik Narasimhan, José C. Príncipe, Donald G. Childers