Karthik Narasimhan

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 121

Top Venues

Massachusetts Institute of Technology, Cambridge, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, USA

PHD

Publications

Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande
GEO: Generative Engine Optimization. KDD (2024)
John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, Ofir Press
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering. CoRR (2024)
Shunyu Yao, Noah Shinn, Pedram Razavi, Karthik Narasimhan
τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains. CoRR (2024)
Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths
Cognitive Architectures for Language Agents. Trans. Mach. Learn. Res. 2024 (2024)
Michael Tang, Shunyu Yao, John Yang, Karthik Narasimhan
Referral Augmentation for Zero-Shot Information Retrieval. ACL (Findings) (2024)
Wenjun Zeng, Yuchi Liu, Ryan Mullins, Ludovic Peran, Joe Fernandez, Hamza Harkous, Karthik Narasimhan, Drew Proud, Piyush Kumar, Bhaktipriya Radharapu, Olivia Sturman, Oscar Wahltinez
ShieldGemma: Generative AI Content Moderation Based on Gemma. CoRR (2024)
Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
QualEval: Qualitative Evaluation for Model Improvement. NAACL-HLT (2024)
Quan Shi, Michael Tang, Karthik Narasimhan, Shunyu Yao
Can Language Models Solve Olympiad Programming? CoRR (2024)
Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande, Bruno Castro da Silva
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs. CoRR (2024)
Alex Zhang, Khanh Nguyen, Jens Tuyls, Albert Lin, Karthik Narasimhan
Language-Guided World Models: A Model-Based Approach to AI Control. CoRR (2024)
Vinay Samuel, Henry Peng Zou, Yue Zhou, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Ameet Deshpande, Karthik Narasimhan, Vishvak Murahari
PersonaGym: Evaluating Persona Agents and LLMs. CoRR (2024)
Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, Thomas L. Griffiths
Cognitive Architectures for Language Agents. CoRR (2023)
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, Karthik Narasimhan
Tree of Thoughts: Deliberate Problem Solving with Large Language Models. NeurIPS (2023)
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan
Toxicity in chatgpt: Analyzing persona-assigned language models. EMNLP (Findings) (2023)
Pranjal Aggarwal, Ameet Deshpande, Karthik Narasimhan
SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification. CoRR (2023)
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan
Toxicity in ChatGPT: Analyzing Persona-assigned Language Models. CoRR (2023)
Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan
Progressively Efficient Learning. CoRR (2023)
Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan
C-STS: Conditional Semantic Textual Similarity. EMNLP (2023)
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, Karthik Narasimhan
Tree of Thoughts: Deliberate Problem Solving with Large Language Models. CoRR (2023)
Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan
MUX-PLMs: Pre-training Language Models with Data Multiplexing. RepL4NLP@ACL (2023)
Aniket Agarwal, Alex Zhang, Karthik Narasimhan, Igor Gilitschenski, Vishvak Murahari, Yash Kant
Building Scalable Video Understanding Benchmarks through Sports. CoRR (2023)
John Yang, Akshara Prabhakar, Karthik Narasimhan, Shunyu Yao
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback. NeurIPS (2023)
Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
QualEval: Qualitative Evaluation for Model Improvement. CoRR (2023)
Baian Chen, Chang Shu, Ehsan Shareghi, Nigel Collier, Karthik Narasimhan, Shunyu Yao
FireAct: Toward Language Agent Fine-tuning. CoRR (2023)
Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan
MUX-PLMs: Pre-training Language Models with Data Multiplexing. CoRR (2023)
Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan
MUX-PLMs: Data Multiplexing for High-throughput Language Models. EMNLP (Findings) (2023)
Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan
CSTS: Conditional Semantic Textual Similarity. CoRR (2023)
Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan
InstructEval: Systematic Evaluation of Instruction Selection Methods. CoRR (2023)
Michael Tang, Shunyu Yao, John Yang, Karthik Narasimhan
Referral Augmentation for Zero-Shot Information Retrieval. CoRR (2023)
Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao
Reflexion: language agents with verbal reinforcement learning. NeurIPS (2023)
John Yang, Akshara Prabhakar, Karthik Narasimhan, Shunyu Yao
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback. CoRR (2023)
Shunyu Yao, Howard Chen, Austin W. Hanjie, Runzhe Yang, Karthik Narasimhan
COLLIE: Systematic Construction of Constrained Text Generation Tasks. CoRR (2023)
Jens Tuyls, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Karthik Narasimhan, Sham M. Kakade
Scaling Laws for Imitation Learning in NetHack. CoRR (2023)
Yushan Su, Vishvak Murahari, Karthik Narasimhan, Kai Li
PruMUX: Augmenting Data Multiplexing with Model Compression. CoRR (2023)
Carlos E. Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, Karthik Narasimhan
SWE-bench: Can Language Models Resolve Real-World GitHub Issues? CoRR (2023)
Yushan Su, Vishvak Murahari, Karthik Narasimhan, Kai Li
PruMUX: Augmenting Data Multiplexing with Model Compression. ACL (Findings) (2023)
Ameet Deshpande, Tanmay Rajpurohit, Karthik Narasimhan, Ashwin Kalyan
Anthropomorphization of AI: Opportunities and Risks. CoRR (2023)
Ameet Deshpande, Partha Talukdar, Karthik Narasimhan
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer. NAACL-HLT (2022)
Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky
Multi-query Video Retrieval. ECCV (14) (2022)
Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen
Can Rationalization Improve Robustness? NAACL-HLT (2022)
Vishvak Murahari, Carlos E. Jimenez, Runzhe Yang, Karthik Narasimhan
DataMUX: Data Multiplexing for Neural Networks. NeurIPS (2022)
Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik Narasimhan, Anirudha Majumdar
Leveraging Language for Accelerated Learning of Tool Manipulation. CoRR (2022)
Ameet Deshpande, Md. Arafat Sultan, Anthony Ferritto, Ashwin Kalyan, Karthik Narasimhan, Avirup Sil
SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers. CoRR (2022)
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
Using natural language and program abstractions to instill human inductive biases in machines. NeurIPS (2022)
Jens Tuyls, Shunyu Yao, Sham M. Kakade, Karthik Narasimhan
Multi-Stage Episodic Control for Strategic Exploration in Text Games. CoRR (2022)
Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky
Multi-query Video Retrieval. CoRR (2022)
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao
ReAct: Synergizing Reasoning and Acting in Language Models. CoRR (2022)
Vishvak Murahari, Carlos E. Jimenez, Runzhe Yang, Karthik Narasimhan
DataMUX: Data Multiplexing for Neural Networks. CoRR (2022)
Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan
CARETS: A Consistency And Robustness Evaluative Test Suite for VQA. CoRR (2022)
Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen
Can Rationalization Improve Robustness? CoRR (2022)
Jens Tuyls, Shunyu Yao, Sham M. Kakade, Karthik Narasimhan
Multi-Stage Episodic Control for Strategic Exploration in Text Games. ICLR (2022)
Henry Tang, Ameet Deshpande, Karthik Narasimhan
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training. CoRR (2022)
Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents. NeurIPS (2022)
Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan
CARETS: A Consistency And Robustness Evaluative Test Suite for VQA. ACL (1) (2022)
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
Learning Physics Constrained Dynamics Using Autoencoders. NeurIPS (2022)
Austin W. Hanjie, Ameet Deshpande, Karthik Narasimhan
Semantic Supervision: Enabling Generalization over Output Spaces. CoRR (2022)
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 (2022)
Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents. CoRR (2022)
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)
Howard Chen, Huihan Li, Danqi Chen, Karthik Narasimhan
Controllable Text Generation with Language Constraints. CoRR (2022)
Shunyu Yao, Binghui Peng, Christos H. Papadimitriou, Karthik Narasimhan
Self-Attention Networks Can Process Bounded Hierarchical Languages. CoRR (2021)
Shunyu Yao, Karthik Narasimhan, Matthew J. Hausknecht
Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents. CoRR (2021)
Runzhe Yang, Jingxiao Chen, Karthik Narasimhan
Improving Dialog Systems for Negotiation with Personality Modeling. ACL/IJCNLP (1) (2021)
Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark. NeurIPS (2021)
Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths
Learning Rewards From Linguistic Feedback. AAAI (2021)
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies. ICML (2021)
Shunyu Yao, Binghui Peng, Christos H. Papadimitriou, Karthik Narasimhan
Self-Attention Networks Can Process Bounded Hierarchical Languages. ACL/IJCNLP (1) (2021)
Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer
SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark. CoRR (2021)
H. J. Austin Wang, Karthik Narasimhan
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning. CoRR (2021)
Ameet Deshpande, Partha Talukdar, Karthik Narasimhan
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer. CoRR (2021)
Liwei Song, Xinwei Yu, Hsuan-Tung Peng, Karthik Narasimhan
Universal Adversarial Attacks with Natural Triggers for Text Classification. NAACL-HLT (2021)
Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan
Safe Reinforcement Learning with Natural Language Constraints. NeurIPS (2021)
Austin W. Hanjie, Victor Zhong, Karthik Narasimhan
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning. ICML (2021)
Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, Ravi Netravali
Revelio: ML-Generated Debugging Queries for Distributed Systems. CoRR (2021)
Shunyu Yao, Karthik Narasimhan, Matthew J. Hausknecht
Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents. NAACL-HLT (2021)
Tsung-Yen Yang, Michael Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan
Safe Reinforcement Learning with Natural Language Constraints. CoRR (2020)
Raeid Saqur, Karthik Narasimhan
Multimodal Graph Networks for Compositional Generalization in Visual Question Answering. NeurIPS (2020)
Tsung-Yen Yang, Karthik Narasimhan
Robust and Interpretable Grounding of Spatial References with Relation Networks. CoRR (2020)
Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation. CoRR (2020)
Mark Braverman, Xinyi Chen, Sham M. Kakade, Karthik Narasimhan, Cyril Zhang, Yi Zhang
Calibration, Entropy Rates, and Memory in Language Models. ICML (2020)
Shunyu Yao, Rohan Rao, Matthew J. Hausknecht, Karthik Narasimhan
Keep CALM and Explore: Language Models for Action Generation in Text-based Games. CoRR (2020)
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
Projection-Based Constrained Policy Optimization. CoRR (2020)
Rachit Dubey, Erin Grant, Michael Luo, Karthik Narasimhan, Thomas L. Griffiths
Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information. CoRR (2020)
Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. CoRR (2020)
Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation. NeurIPS (2020)
Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky
Towards Unique and Informative Captioning of Images. ECCV (7) (2020)
Ameet Deshpande, Karthik Narasimhan
Guiding Attention for Self-Supervised Learning with Transformers. CoRR (2020)
Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths
Learning Rewards from Linguistic Feedback. CoRR (2020)
Tsung-Yen Yang, Andrew S. Lan, Karthik Narasimhan
Robust and Interpretable Grounding of Spatial References with Relation Networks. EMNLP (Findings) (2020)
Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky
Towards Unique and Informative Captioning of Images. CoRR (2020)
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
Projection-Based Constrained Policy Optimization. ICLR (2020)
Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. CVPR Workshops (2020)
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies. CoRR (2020)
Liwei Song, Xinwei Yu, Hsuan-Tung Peng, Karthik Narasimhan
Universal Adversarial Attacks with Natural Triggers for Text Classification. CoRR (2020)
Ameet Deshpande, Karthik Narasimhan
Guiding Attention for Self-Supervised Learning with Transformers. EMNLP (Findings) (2020)
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)
Runzhe Yang, Jingxiao Chen, Karthik Narasimhan
Generating Strategic Dialogue for Negotiation with Theory of Mind. CoRR (2020)
Runzhe Yang, Xingyuan Sun, Karthik Narasimhan
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation. NeurIPS (2019)
Yilun Du, Karthik Narasimhan
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning. CoRR (2019)
Yilun Du, Karthik Narasimhan
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning. ICML (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Karthik Narasimhan