Ruoxi Sun
Ruoxi Sun completed Ph.D. in machine learning and computational neuroscience from Columbia University in 2019. She is generally interested in a broad aspect of machine learning topics:
deep learning, language models, applied science and drug discoveries, computer vision, adversarial settings, representation learning, unsupervised learning, image/video understanding.
Authored Publications
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From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation
Ke Jiang
International Conference on Learning Representations (ICLR) (2025) (to appear)
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL
Satya Gundabathula
Hanjun Dai
TMLR (2024)
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
Advances in Neural Information Processing Systems (NeurIPS) (2024)
Spider2.0-GUI: Can Multimodal Agents Achieve Expert Proficiency in Data Science and Engineering?
Ruisheng Cao
Fangyu Lei
Haoyuan Wu
Jixuan Chen
Yeqiao Fu
Hongcheng Gao
Xinzhuang Xiong
Hanchong Zhang
Yuchen Mao
Wenjing Hu
Tianbao Xie
Hongshen Xu
Danyang Zhang
Sida Wang
Caiming Xiong
Ansong Ni
Qian Liu
Victor Zhong
Lu Chen
Kai Yu
Tao Yu
2024
SQLPrompt: Improved In-context Learning for Few-shot Text-to-SQL
Hanjun Dai
Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP) (2023)
Better Zero-Shot Reasoning with Self-Adaptive Prompting
Hanjun Dai
Findings of the Association for Computational Linguistics: ACL 2023 (2023)
Universal Self-adaptive Prompting
Hanjun Dai
Empirical Methods in Natural Language Processing (EMNLP) (2023)
