Using a thousand optimization tasks to learn hyperparameter search strategies. - Luke Metz; Niru Maheswaranathan; Ruoxi Sun 002; C. Daniel Freeman; Ben Poole; Jascha Sohl-Dickstein (CoRR, 2020)

Energy-based View of Retrosynthesis. - Ruoxi Sun 002; Hanjun Dai; Li Li 060; Steven Kearnes; Bo Dai 001 (CoRR, 2020)

Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics. - Li Li 060; Stephan Hoyer; Ryan Pederson; Ruoxi Sun 002; Ekin D. Cubuk; Patrick Riley 001; Kieron Burke (CoRR, 2020)

Reverse engineering learned optimizers reveals known and novel mechanisms. - Niru Maheswaranathan; David Sussillo; Luke Metz; Ruoxi Sun 002; Jascha Sohl-Dickstein (NeurIPS, 2021)

Towards understanding retrosynthesis by energy-based models. - Ruoxi Sun 002; Hanjun Dai; Li Li 060; Steven Kearnes; Bo Dai 001 (NeurIPS, 2021)

Learning to Prompt for Continual Learning. - Zifeng Wang 002; Zizhao Zhang; Chen-Yu Lee; Han Zhang 010; Ruoxi Sun 002; Xiaoqi Ren; Guolong Su; Vincent Perot; Jennifer G. Dy; Tomas Pfister (CVPR, 2022)

DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. - Zifeng Wang 002; Zizhao Zhang; Sayna Ebrahimi; Ruoxi Sun 002; Han Zhang 010; Chen-Yu Lee; Xiaoqi Ren; Guolong Su; Vincent Perot; Jennifer G. Dy; Tomas Pfister (ECCV (26), 2022)

Does GNN Pretraining Help Molecular Representation? - Ruoxi Sun 002; Hanjun Dai; Adams Wei Yu (NeurIPS, 2022)

Neural Spline Search for Quantile Probabilistic Modeling. - Ruoxi Sun 002; Chun-Liang Li; Sercan Ö. Arik; Michael W. Dusenberry; Chen-Yu Lee; Tomas Pfister (AAAI, 2023)

Better Zero-Shot Reasoning with Self-Adaptive Prompting. - Xingchen Wan; Ruoxi Sun 002; Hanjun Dai; Sercan Ö. Arik; Tomas Pfister (ACL (Findings), 2023)

SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data. - Ruoxi Sun 002; Sercan Ö. Arik; Rajarishi Sinha; Hootan Nakhost; Hanjun Dai; Pengcheng Yin; Tomas Pfister (EMNLP (Findings), 2023)

Universal Self-Adaptive Prompting. - Xingchen Wan; Ruoxi Sun 002; Hootan Nakhost; Hanjun Dai; Julian Eisenschlos; Sercan Ö. Arik; Tomas Pfister (EMNLP, 2023)

SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL. - Ruoxi Sun 002; Sercan Ö. Arik; Hootan Nakhost; Hanjun Dai; Rajarishi Sinha; Pengcheng Yin; Tomas Pfister (CoRR, 2023)

Effective Large Language Model Adaptation for Improved Grounding. - Xi Ye; Ruoxi Sun 002; Sercan Ö. Arik; Tomas Pfister (CoRR, 2023)

Effective Large Language Model Adaptation for Improved Grounding and Citation Generation. - Xi Ye; Ruoxi Sun 002; Sercan Ö. Arik; Tomas Pfister (NAACL-HLT, 2024)

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? - Ruisheng Cao; Fangyu Lei; Haoyuan Wu; Jixuan Chen; Yeqiao Fu; Hongcheng Gao; Xinzhuang Xiong; Hanchong Zhang; Wenjing Hu; Yuchen Mao; Tianbao Xie; Hongshen Xu; et al. (NeurIPS, 2024)

Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization. - Xingchen Wan; Ruoxi Sun 002; Hootan Nakhost; Sercan Ö. Arik (NeurIPS, 2024)

Chain of Agents: Large Language Models Collaborating on Long-Context Tasks. - Yusen Zhang 001; Ruoxi Sun 002; Yanfei Chen; Tomas Pfister; Rui Zhang 037; Sercan Ö. Arik (NeurIPS, 2024)

Capabilities of Gemini Models in Medicine. - Khaled Saab 003; Tao Tu 001; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; et al. (CoRR, 2024)

SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging. - Mohammadreza Pourreza; Ruoxi Sun 002; Hailong Li; Lesly Miculicich; Tomas Pfister; Sercan Ö. Arik (CoRR, 2024)

SQL-PaLM: Improved large language model adaptation for Text-to-SQL. - Ruoxi Sun 002; Sercan Ö. Arik; Alexandre Muzio; Lesly Miculicich; Satya Kesav Gundabathula; Pengcheng Yin; Hanjun Dai; Hootan Nakhost; Rajarishi Sinha; Zifeng Wang 002; Tomas Pfister (Trans. Mach. Learn. Res., 2024)

Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling. - Maximillian Chen; Ruoxi Sun 002; Sercan Ö. Arik (ACL (Findings), 2025)

Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models. - Fei Wang; Xingchen Wan; Ruoxi Sun 002; Jiefeng Chen 001; Sercan Ö. Arik (ACL (1), 2025)

Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training. - Maximillian Chen; Ruoxi Sun 002; Tomas Pfister; Sercan Ö. Arik (ICLR, 2025)

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows. - Fangyu Lei; Jixuan Chen; Yuxiao Ye; Ruisheng Cao; Dongchan Shin; Hongjin Su; Zhaoqing Suo; Hongcheng Gao; Wenjing Hu; Pengcheng Yin; Victor Zhong; Caiming Xiong; et al. (ICLR, 2025)

CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL. - Mohammadreza Pourreza; Hailong Li; Ruoxi Sun 002; Yeounoh Chung; Shayan Talaei; Gaurav Tarlok Kakkar; Yu Gan; Amin Saberi; Fatma Ozcan; Sercan Ö. Arik (ICLR, 2025)

Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments. - Hongjin Su; Ruoxi Sun 002; Jinsung Yoon; Pengcheng Yin; Tao Yu 009; Sercan Ö. Arik (ICLR, 2025)

BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval. - Hongjin Su; Howard Yen; Mengzhou Xia; Weijia Shi; Niklas Muennighoff; Han-yu Wang; Haisu Liu; Quan Shi; Zachary S. Siegel; Michael Tang; Ruoxi Sun 002; Jinsung Yoon; et al. (ICLR, 2025)

From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation. - Xingchen Wan; Han Zhou 010; Ruoxi Sun 002; Sercan Ö. Arik (ICLR, 2025)

SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling. - Jiefeng Chen 001; Jie Ren; Xinyun Chen; Chengrun Yang; Ruoxi Sun 002; Sercan Ö. Arik (CoRR, 2025)

From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation. - Xingchen Wan; Han Zhou 010; Ruoxi Sun 002; Hootan Nakhost; Ke Jiang; Sercan Ö. Arik (CoRR, 2025)

Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies. - Han Zhou 010; Xingchen Wan; Ruoxi Sun 002; Hamid Palangi; Shariq Iqbal; Ivan Vulic; Anna Korhonen; Sercan Ö. Arik (CoRR, 2025)

Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL. - Mohammadreza Pourreza; Shayan Talaei; Ruoxi Sun 002; Xingchen Wan; Hailong Li; Azalia Mirhoseini; Amin Saberi; Sercan Ö. Arik (CoRR, 2025)

Review, Refine, Repeat: Understanding Iterative Decoding of AI Agents with Dynamic Evaluation and Selection. - Souradip Chakraborty; Mohammadreza Pourreza; Ruoxi Sun 002; Yiwen Song; Nino Scherrer; Furong Huang; Amrit Singh Bedi; Ahmad Beirami; Jindong Gu; Hamid Palangi; Tomas Pfister (CoRR, 2025)

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling. - Fei Wang; Xingchen Wan; Ruoxi Sun 002; Jiefeng Chen 001; Sercan Ö. Arik (CoRR, 2025)