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Browsing by Academic Advisor Narasimhan, Karthik

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Class Year	Author(s)	Title	Advisor
2023	Lin, Mandy	Beyond Language Barriers: Extending Semantic Supervision to Multiple Languages	*Narasimhan, Karthik*
2021	Hu, Michael	Case Studies on the Interaction between Machine Learning and Language	*Narasimhan, Karthik*
2019	Arora, Karan	Conditioning Language Models for Domain	*Narasimhan, Karthik*
2020	Marcu, Theodor	Deep Learning for Mind Reading: Using Neural Networks to Forecast Neural Signals	*Kernighan, Brian W; Hasson, Uri; Narasimhan, Karthik*
2022	Ortaoglu, Begum	Don’t Shoot the Messenger: Temporal Grounding of Natural Language in Entities and Dynamics	*Narasimhan, Karthik*
2023	Caballero, AnneMarie	Gendered Topics: Boyhood and Girlhood in a Century of (Cotsen) Children’s Literature	*Narasimhan, Karthik; Gleason, William*
2020	Wang, Austin	Grounding Entities and Dynamics through Gameplay	*Narasimhan, Karthik*
2023	Tian, Edward	Identifying GPT: First Principles for Generative AI Detection	*Narasimhan, Karthik*
2020	Slavov, Stanislav	Improving agents for text-based games with pretrained embeddings	*Narasimhan, Karthik*
2023	Liang, Sam	Improving Translation of English Instructions With Sequential Constraints to Linear Temporal Logic in Navigation Tasks via Prompt Engineering	*Narasimhan, Karthik*
2023	Mittal, Esha	Keeping the Monsters Away: A Thesis on Improving Generalist Agents Using Retrieval and Task Decomposition	*Narasimhan, Karthik*
2020	Bechara, Jad	MeNTAL: Models for Neural Transduction using Attention-based Learning	*Narasimhan, Karthik*
2021	Pulmano, Jeremy	ML-Producer: Learning to Generate Music for Dance Choreography	*Narasimhan, Karthik*
2019	Feng, Berthy	Moving from Recognition to Reasoning in Image Captioning	*Russakovsky, Olga; Narasimhan, Karthik*
2022	Govil, Bharat	Natural Language Information for Meta-Learning Based Tool Manipulation	*Narasimhan, Karthik*
2020	Hong, Katherine	Programming A Poet: Poetry Text Generation Using LSTM	*Narasimhan, Karthik*
2023	Pan, Chris	A Quantitative Analysis of Prompt Engineering and In-Context Learning	*Narasimhan, Karthik*
2022	Grajeda, Gabriel	Random Ensemble Conservative Q-Learning for Offline Reinforcement Learning	*Narasimhan, Karthik*
2021	Lee, Ryan	SpyfallRL: Multi-agent Reinforcement Learning in Spyfall	*Narasimhan, Karthik*
2023	Maskara, Anika	Tell Me What Happened: Analyzing Type Specific Prompting on Generative Language Models for Event Detection	*Narasimhan, Karthik*

Showing results 1 to 20 of 22 next >