Regular biography
Karthik Narasimhan is an Associate Professor in the Department of Computer Science at Princeton University. His research focuses on problems at the intersection of language and decision making, building autonomous agents that learn to operate in the world using both their own experience and existing human knowledge. Narasimhan received his Ph.D. from MIT in 2017 and joined Princeton in 2018. He has contributed to the GPT language model during his time as a visiting research scientist at OpenAI. His work has been recognized with a Google Research Scholar Award (2022), an Amazon research award (2019), and best paper awards/nominations at EMNLP (2015, 2016).
Scholar-generated biography
Karthik Narasimhan is an Associate Professor at Princeton University, specializing in Natural Language Processing, Reinforcement Learning, and Artificial Intelligence. His research focuses on advancing language models through multitask learning, generative pre-training, and integrating reasoning with acting in language models. He explores methods to enhance language understanding in real-world scenarios, such as resolving GitHub issues and interacting with web environments. His work also addresses challenges in toxicity analysis, policy adaptation, and benchmarking conversational agents. Narasimhan's contributions span both theoretical and applied aspects of AI, emphasizing scalable and grounded language agent systems.