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Karthik Narasimhan
Karthik Narasimhan
Assistant Professor, Princeton University
Bestätigte E-Mail-Adresse bei cs.princeton.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Improving Language Understanding by Generative Pre-Training (GPT)
A Radford, K Narasimhan, T Salimans, I Sutskever
https://s3-us-west-2.amazonaws.com/openai-assets/research-covers/language …, 2018
9077*2018
Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation
TD Kulkarni, KR Narasimhan, A Saeedi, JB Tenenbaum
Neural Information Processing Systems (NIPS), 2016
13392016
React: Synergizing reasoning and acting in language models
S Yao, J Zhao, D Yu, N Du, I Shafran, K Narasimhan, Y Cao
International Conference on Learning Representations (ICLR), 2023
6692023
Tree of thoughts: Deliberate problem solving with large language models
S Yao, D Yu, J Zhao, I Shafran, TL Griffiths, Y Cao, K Narasimhan
Neural Information Processing Systems (NeurIPS), 2023
5822023
Language understanding for text-based games using deep reinforcement learning
K Narasimhan, T Kulkarni, R Barzilay
Empirical Methods in Natural Language Processing (EMNLP), 2015
4622015
Reflexion: Language agents with verbal reinforcement learning
N Shinn, F Cassano, A Gopinath, K Narasimhan, S Yao
Advances in Neural Information Processing Systems 36, 2024
419*2024
A generalized algorithm for multi-objective reinforcement learning and policy adaptation
R Yang, X Sun, K Narasimhan
Advances in Neural Information Processing Systems (NeurIPS), 2019
2162019
Projection-Based Constrained Policy Optimization.
TY Yang, J Rosca, K Narasimhan, PJ Ramadge
International Conference on Learning Representations, 2020
2062020
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning
K Narasimhan, A Yala, R Barzilay
Empirical Methods in Natural Language Processing (EMNLP), 2016
1862016
Toxicity in chatgpt: Analyzing persona-assigned language models
A Deshpande, V Murahari, T Rajpurohit, A Kalyan, K Narasimhan
Findings of EMNLP, 2023
1292023
Nonparametric Spherical Topic Modeling with Word Embeddings
K Batmanghelich, A Saeedi, K Narasimhan, S Gershman
Association for Computational Linguistics (ACL), 2016
1202016
Improving language understanding by generative pre-training
R Alec, N Karthik, S Tim, S Ilya
Technical report, OpenAI, 2018
1192018
Webshop: Towards scalable real-world web interaction with grounded language agents
S Yao, H Chen, J Yang, K Narasimhan
Advances in Neural Information Processing Systems (NeurIPS), 2022
1072022
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge
N Locascio, K Narasimhan, E DeLeon, N Kushman, R Barzilay
Empirical Methods in Natural Language Processing (EMNLP), 2016
992016
sk_p: a neural program corrector for MOOCs
Y Pu, K Narasimhan, A Solar-Lezama, R Barzilay
Companion Proceedings of the 2016 ACM SIGPLAN International Conference on …, 2016
952016
Keep CALM and Explore: Language Models for Action Generation in Text-based Games
S Yao, R Rao, M Hausknecht, K Narasimhan
Empirical Methods in Natural Language Processing (EMNLP), 2020
872020
Machine Comprehension with Discourse Relations
K Narasimhan, R Barzilay
Association for Computational Linguistics (ACL), 2015
832015
Grounding language for transfer in deep reinforcement learning
K Narasimhan, R Barzilay, T Jaakkola
Journal of Artificial Intelligence Research 63, 849-874, 2018
802018
Representation learning for grounded spatial reasoning
M Janner, K Narasimhan, R Barzilay
Transactions of the Association for Computational Linguistics 6, 49-61, 2018
792018
An Unsupervised Method for Uncovering Morphological Chains
K Narasimhan, R Barzilay, T Jaakkola
Transactions of the Association for Computational Linguistics (TACL), 2015
772015
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