Sun, Ruoxi

21 publications

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, Liu Haisu, Quan Shi, Zachary S Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan O Arik, Danqi Chen, Tao Yu

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

ICLR 2025 From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation Xingchen Wan, Han Zhou, Ruoxi Sun, Sercan O Arik

ICLR 2025 Learn-by-Interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan O Arik

ICLR 2025 Learning to Clarify: Multi-Turn Conversations with Action-Based Contrastive Self-Training Maximillian Chen, Ruoxi Sun, Tomas Pfister, Sercan O Arik

TMLR 2025 SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling Jiefeng Chen, Jie Ren, Xinyun Chen, Chengrun Yang, Ruoxi Sun, Jinsung Yoon, Sercan O 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, Ruoxi Sun, Qian Liu, Sida Wang, Tao Yu

NeurIPS 2024 Chain of Agents: Large Language Models Collaborating on Long-Context Tasks Yusen Zhang, Ruoxi Sun, Yanfei Chen, Tomas Pfister, Rui Zhang, Sercan Ö. Arık

TMLR 2024 SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL Ruoxi Sun, Sercan O Arik, Alexandre Muzio, Lesly Miculicich, Satya Kesav Gundabathula, Pengcheng Yin, Hanjun Dai, Hootan Nakhost, Rajarishi Sinha, Zifeng Wang, Tomas Pfister

NeurIPS 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, 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

NeurIPS 2024 Teach Better or Show Smarter? on Instructions and Exemplars in Automatic Prompt Optimization Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Sercan Ö. Arık

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

NeurIPS 2022 Does GNN Pretraining Help Molecular Representation? Ruoxi Sun, Hanjun Dai, Adams Wei Yu

ECCV 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 Dy, Tomas Pfister

CVPR 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 Dy, Tomas Pfister

NeurIPS 2022 M$^4$I: Multi-Modal Models Membership Inference Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue

NeurIPS 2021 Reverse Engineering Learned Optimizers Reveals Known and Novel Mechanisms Niru Maheswaranathan, David Sussillo, Luke Metz, Ruoxi Sun, Jascha Sohl-Dickstein

NeurIPS 2021 Towards Understanding Retrosynthesis by Energy-Based Models Ruoxi Sun, Hanjun Dai, Li Li, Steven Kearnes, Bo Dai

NeurIPS 2019 Scalable Bayesian Inference of Dendritic Voltage via Spatiotemporal Recurrent State Space Models Ruoxi Sun, Scott Linderman, Ian Kinsella, Liam Paninski

ICML 2018 Scalable Approximate Bayesian Inference for Particle Tracking Data Ruoxi Sun, Liam Paninski

AISTATS 2017 Scalable Variational Inference for Super Resolution Microscopy Ruoxi Sun, Evan Archer, Liam Paninski