Ruoxi Sun

55 papers A* 15Journal 34Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models.
ACL (1)
Fei Wang, Xingchen Wan, Ruoxi Sun, Jiefeng Chen, Sercan Ö. Arik
2025 A* conf
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval.
ICLR
Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik, Danqi Chen, Tao Yu
2025 A* conf
CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL.
ICLR
Mohammadreza Pourreza, Hailong Li, Ruoxi Sun, Yeounoh Chung, Shayan Talaei, Gaurav Tarlok Kakkar, Yu Gan, Amin Saberi, Fatma Ozcan, Sercan Ö. Arik
2025 — conf
Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling.
ACL (Findings)
Maximillian Chen, Ruoxi Sun, Sercan Ö. Arik
2025 J jnl
DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling.
CoRR
Fei Wang, Xingchen Wan, Ruoxi Sun, Jiefeng Chen, Sercan Ö. Arik
2025 A* conf
From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation.
ICLR
Xingchen Wan, Han Zhou, Ruoxi Sun, Sercan Ö. Arik
2025 J jnl
From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation.
CoRR
Xingchen Wan, Han Zhou, Ruoxi Sun, Hootan Nakhost, Ke Jiang, Sercan Ö. Arik
2025 A* conf
Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments.
ICLR
Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan Ö. Arik
2025 J jnl
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments.
CoRR
Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan Ö. Arik
2025 A* conf
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training.
ICLR
Maximillian Chen, Ruoxi Sun, Tomas Pfister, Sercan Ö. Arik
2025 J jnl
Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration.
CoRR
Xingchen Wan, Han Zhou, Ruoxi Sun, Hootan Nakhost, Ke Jiang, Rajarishi Sinha, Sercan Ö. Arik
2025 J jnl
Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies.
CoRR
Han Zhou, Xingchen Wan, Ruoxi Sun, Hamid Palangi, Shariq Iqbal, Ivan Vulic, Anna Korhonen, Sercan Ö. Arik
2025 J jnl
Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL.
CoRR
Mohammadreza Pourreza, Shayan Talaei, Ruoxi Sun, Xingchen Wan, Hailong Li, Azalia Mirhoseini, Amin Saberi, Sercan Ö. Arik
2025 J jnl
Review, Refine, Repeat: Understanding Iterative Decoding of AI Agents with Dynamic Evaluation and Selection.
CoRR
Souradip Chakraborty, Mohammadreza Pourreza, Ruoxi Sun, Yiwen Song, Nino Scherrer, Furong Huang, Amrit Singh Bedi, Ahmad Beirami, Jindong Gu, Hamid Palangi, Tomas Pfister
2025 J jnl
SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling.
CoRR
Jiefeng Chen, Jie Ren, Xinyun Chen, Chengrun Yang, Ruoxi Sun, Sercan Ö. Arik
2025 J jnl
SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling.
Trans. Mach. Learn. Res.
Jiefeng Chen, Jie Ren, Xinyun Chen, Chengrun Yang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik
2025 A* conf
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows.
ICLR
Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida Wang, Tao Yu
2024 J jnl
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models.
CoRR
Fei Wang, Xingchen Wan, Ruoxi Sun, Jiefeng Chen, Sercan Ö. Arik
2024 J jnl
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval.
CoRR
Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik, Danqi Chen, Tao Yu
2024 J jnl
CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL.
CoRR
Mohammadreza Pourreza, Hailong Li, Ruoxi Sun, Yeounoh Chung, Shayan Talaei, Gaurav Tarlok Kakkar, Yu Gan, Amin Saberi, Fatma Ozcan, Sercan Ö. Arik
2024 J jnl
Capabilities of Gemini Models in Medicine.
CoRR
Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan
2024 A* conf
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks.
NeurIPS
Yusen Zhang, Ruoxi Sun, Yanfei Chen, Tomas Pfister, Rui Zhang, Sercan Ö. Arik
2024 J jnl
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks.
CoRR
Yusen Zhang, Ruoxi Sun, Yanfei Chen, Tomas Pfister, Rui Zhang, Sercan Ö. Arik
2024 J jnl
Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling.
CoRR
Maximillian Chen, Ruoxi Sun, Sercan Ö. Arik
2024 — conf
Effective Large Language Model Adaptation for Improved Grounding and Citation Generation.
NAACL-HLT
Xi Ye, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister
2024 J jnl
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training.
CoRR
Maximillian Chen, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister
2024 J jnl
SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging.
CoRR
Mohammadreza Pourreza, Ruoxi Sun, Hailong Li, Lesly Miculicich, Tomas Pfister, Sercan Ö. Arik
2024 J jnl
SQL-PaLM: Improved large language model adaptation for Text-to-SQL.
Trans. Mach. Learn. Res.
Ruoxi Sun, Sercan Ö. Arik, Alexandre Muzio, Lesly Miculicich, Satya Kesav Gundabathula, Pengcheng Yin, Hanjun Dai, Hootan Nakhost, Rajarishi Sinha, Zifeng Wang, Tomas Pfister
2024 J jnl
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows.
CoRR
Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida I. Wang, Tao Yu
2024 A* conf
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
NeurIPS
Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Wenjing Hu, Yuchen Mao, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida I. Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu
2024 J jnl
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
CoRR
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, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu
2024 A* conf
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization.
NeurIPS
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Sercan Ö. Arik
2024 J jnl
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization.
CoRR
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Sercan Ö. Arik
2023 — conf
Better Zero-Shot Reasoning with Self-Adaptive Prompting.
ACL (Findings)
Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan Ö. Arik, Tomas Pfister
2023 J jnl
Better Zero-Shot Reasoning with Self-Adaptive Prompting.
CoRR
Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan Ö. Arik, Tomas Pfister
2023 J jnl
Effective Large Language Model Adaptation for Improved Grounding.
CoRR
Xi Ye, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister
2023 A* conf
Neural Spline Search for Quantile Probabilistic Modeling.
AAAI
Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister
2023 J jnl
Neural Spline Search for Quantile Probabilistic Modeling.
CoRR
Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister
2023 J jnl
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL.
CoRR
Ruoxi Sun, Sercan Ö. Arik, Hootan Nakhost, Hanjun Dai, Rajarishi Sinha, Pengcheng Yin, Tomas Pfister
2023 — conf
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data.
EMNLP (Findings)
Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister
2023 J jnl
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data.
CoRR
Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister
2023 A* conf
Universal Self-Adaptive Prompting.
EMNLP
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Eisenschlos, Sercan Ö. Arik, Tomas Pfister
2023 J jnl
Universal Self-adaptive Prompting.
CoRR
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Martin Eisenschlos, Sercan Ö. Arik, Tomas Pfister
2022 A* conf
Does GNN Pretraining Help Molecular Representation?
NeurIPS
Ruoxi Sun, Hanjun Dai, Adams Wei Yu
2022 J jnl
Does GNN Pretraining Help Molecular Representation?
CoRR
Ruoxi Sun, Hanjun Dai, Adams Wei Yu
2022 — conf
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning.
ECCV (26)
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2022 J jnl
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning.
CoRR
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2022 A* conf
Learning to Prompt for Continual Learning.
CVPR
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2021 J jnl
Learning to Prompt for Continual Learning.
CoRR
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2021 A* conf
Reverse engineering learned optimizers reveals known and novel mechanisms.
NeurIPS
Niru Maheswaranathan, David Sussillo, Luke Metz, Ruoxi Sun, Jascha Sohl-Dickstein
2021 A* conf
Towards understanding retrosynthesis by energy-based models.
NeurIPS
Ruoxi Sun, Hanjun Dai, Li Li, Steven Kearnes, Bo Dai
2020 J jnl
Energy-based View of Retrosynthesis.
CoRR
Ruoxi Sun, Hanjun Dai, Li Li, Steven Kearnes, Bo Dai
2020 J jnl
Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics.
CoRR
Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, Kieron Burke
2020 J jnl
Reverse engineering learned optimizers reveals known and novel mechanisms.
CoRR
Niru Maheswaranathan, David Sussillo, Luke Metz, Ruoxi Sun, Jascha Sohl-Dickstein
2020 J jnl
Using a thousand optimization tasks to learn hyperparameter search strategies.
CoRR
Luke Metz, Niru Maheswaranathan, Ruoxi Sun, C. Daniel Freeman, Ben Poole, Jascha Sohl-Dickstein