Team Projects

Fall 2024

Projects

  1. Learning LESS: Logical Equivalence for Structured Queries in Text-to-SQL Models : Darren Ni, Sherry Rui, Jonathan Zhang (promo)

  2. Enhancing Information Retrieval with a Hybrid Model Combining Sparse and Dense Retrievers : Kei Nie, Daisy Wang, Rex Zhang (promo)

  3. Predicting Effects of ncSNVs : Zechary Chou, Brian Hakam, Kihoon Kang (promo)

  4. Identifying Hispanic Speech by Linguistic Features with Transformer Models : Ivan Martinez-Kay, Raphael Palacio (promo)

  5. Analysis on Optimal Time Span of Trading Data for Artificial Intelligence Development : Olivia Kim, Thalia Papageorgiou (promo)

  6. How Polluted Exemplar Undermines Large Language Models’ Numerical Prowess : Andrew Chung, William Hao (promo)

  7. Multimodal Deception Detection in Presidential Debates: Promoting Accountability and Informed Citizenship : Yutong Hu, Ryan Meng, Harutoshi Okumura (promo)

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