Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. - Linyong Nan; Yilun Zhao 001; Weijin Zou; Narutatsu Ri; Jaesung Tae; Ellen Zhang; Arman Cohan; Dragomir Radev (EMNLP (Findings), 2023)

Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. - Linyong Nan; Yilun Zhao 001; Weijin Zou; Narutatsu Ri; Jaesung Tae; Ellen Zhang; Arman Cohan; Dragomir Radev (CoRR, 2023)

On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering. - Linyong Nan; Ellen Zhang; Weijin Zou; Yilun Zhao 001; Wenfei Zhou; Arman Cohan (NAACL-HLT (Findings), 2024)

Exploring the Manifold of Neural Networks Using Diffusion Geometry. - Elliott Abel; Peyton Crevasse; Yvan Grinspan; Selma Mazioud; Folu Ogundipe; Kristof Reimann; Ellie Schueler; Andrew J. Steindl; Ellen Zhang; Dhananjay Bhaskar; Siddharth Viswanath; Yanlei Zhang; et al. (CoRR, 2024)

Factorized RVQ-GAN For Disentangled Speech Tokenization. - Sameer Khurana; Dominik Klement; Antoine Laurent; Dominik Bobos; Juraj Novosad; Peter Gazdik; Ellen Zhang; Zili Huang; Amir Hussein; Ricard Marxer; Yoshiki Masuyama; Ryo Aihara; et al. (CoRR, 2025)