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Trace to Triumph: A Novel LLM-based Generative Optimization Approach for Atari Gaming Agents
Amelia Kuang, Ryan Rong, Tom Yuan
Poster
Incorporated Trace to use LLMs to iteratively optimize agent code to play Atari Games.
Achieves competitive performance with 750x fewer environment interactions, advised by PhD. Allen Nie
Contributions are part of a work in proceedings at COLM 2025
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Long Range Weather Forecasting with Chunked-Sequence Diffusion
James Qian, Andrew Ye, Ryan Rong
Poster
Accurately forecast weather variables like 2m temperature and achieved comparable performance against state-of-the-art models with only 1% of the dataset and 1% of the model size
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Automated bug generation in the era of large language models
Ali Reza Ibrahimzada, Yang Chen, Ryan Rong, Reyhaneh Jabbarvand
Paper
Generate hard-to-repair bugs by transforming arbitrary code into multiple complex bugs
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Predicting the onset of Alzheimer's Disease using Electronic Health Records fairly across demographic groups
Ryan Rong, Sajjad Fouladvand, Jonathan H. Chen
Poster
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Gaieties, Ram's Head, 2024
Spotify
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Legally Blonde, Peddie Theater, 2023
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