Ruoxi Sun

According to our database, Ruoxi Sun authored at least 14 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Effective Large Language Model Adaptation for Improved Grounding.

Xi Ye, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister

CoRR, 2023

SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL.

Ruoxi Sun, Sercan Ö. Arik, Hootan Nakhost, Hanjun Dai, Rajarishi Sinha, Pengcheng Yin, Tomas Pfister

CoRR, 2023

Universal Self-Adaptive Prompting.

Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Eisenschlos, Sercan Ö. Arik, Tomas Pfister

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data.

Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Better Zero-Shot Reasoning with Self-Adaptive Prompting.

Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan Ö. Arik, Tomas Pfister

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Neural Spline Search for Quantile Probabilistic Modeling.

Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Does GNN Pretraining Help Molecular Representation?

Ruoxi Sun, Hanjun Dai, Adams Wei Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning.

Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Prompt for Continual Learning.

Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Towards understanding retrosynthesis by energy-based models.

Ruoxi Sun, Hanjun Dai, Li Li, Steven Kearnes, Bo Dai

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reverse engineering learned optimizers reveals known and novel mechanisms.

Niru Maheswaranathan, David Sussillo, Luke Metz, Ruoxi Sun, Jascha Sohl-Dickstein

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics.

Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, Kieron Burke

CoRR, 2020

Energy-based View of Retrosynthesis.

Ruoxi Sun, Hanjun Dai, Li Li, Steven Kearnes, Bo Dai

CoRR, 2020

Using a thousand optimization tasks to learn hyperparameter search strategies.

Luke Metz, Niru Maheswaranathan, Ruoxi Sun, C. Daniel Freeman, Ben Poole, Jascha Sohl-Dickstein

CoRR, 2020