Wang, Zifeng

29 publications

ICLR 2026 MedAgentGym: A Scalable Agentic Training Environment for Code-Centric Reasoning in Biomedical Data Science Ran Xu, Yuchen Zhuang, Yishan Zhong, Yue Yu, Zifeng Wang, Xiangru Tang, Hang Wu, May Dongmei Wang, Peifeng Ruan, Donghan Yang, Tao Wang, Guanghua Xiao, Xin Liu, Carl Yang, Yang Xie, Wenqi Shi

ICLR 2026 ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory Siru Ouyang, Jun Yan, I-Hung Hsu, Yanfei Chen, Ke Jiang, Zifeng Wang, Rujun Han, Long Le, Samira Daruki, Xiangru Tang, Vishy Tirumalashetty, George Lee, Mahsan Rofouei, Hangfei Lin, Jiawei Han, Chen-Yu Lee, Tomas Pfister

ICLR 2026 Supervised Reinforcement Learning: From Expert Trajectories to Step-Wise Reasoning Yihe Deng, I-Hung Hsu, Jun Yan, Zifeng Wang, Rujun Han, Gufeng Zhang, Yanfei Chen, Wei Wang, Tomas Pfister, Chen-Yu Lee

ICLR 2026 Universal Model Routing for Efficient LLM Inference Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Jeevesh Juneja, Congchao Wang, Zifeng Wang, Alec Go, Chen-Yu Lee, Pradeep Shenoy, Rina Panigrahy, Aditya Krishna Menon, Sanjiv Kumar

TMLR 2025 ADAPT to Robustify Prompt Tuning Vision Transformers Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer Dy

NeurIPS 2025 Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister

ICML 2025 Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister

ICLR 2025 OmnixR: Evaluating Omni-Modality Language Models on Reasoning Across Modalities Lichang Chen, Hexiang Hu, Mingda Zhang, Yiwen Chen, Zifeng Wang, Yandong Li, Pranav Shyam, Tianyi Zhou, Heng Huang, Ming-Hsuan Yang, Boqing Gong

TMLR 2025 SAIF: Sparse Adversarial and Imperceptible Attack Framework Tooba Imtiaz, Morgan R Kohler, Jared F Miller, Zifeng Wang, Masih Eskandar, Mario Sznaier, Octavia Camps, Jennifer Dy

ICLR 2025 STAR: Stability-Inducing Weight Perturbation for Continual Learning Masih Eskandar, Tooba Imtiaz, Davin Hill, Zifeng Wang, Jennifer Dy

ICLR 2025 Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling Wenda Xu, Rujun Han, Zifeng Wang, Long Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister

ICLR 2025 Speculative RAG: Enhancing Retrieval Augmented Generation Through Drafting Zilong Wang, Zifeng Wang, Long Le, Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister

ICLRW 2025 Universal LLM Routing with Correctness-Based Representation Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Jeevesh Juneja, Zifeng Wang, Chen-Yu Lee, Pradeep Shenoy, Rina Panigrahy, Aditya Krishna Menon, Sanjiv Kumar

ICLR 2024 BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai

ICLR 2024 Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister

IJCAI 2024 MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun

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 TableRAG: Million-Token Table Understanding with Language Models Si-An Chen, Lesly Miculicich, Julian Martin Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister

ICML 2023 DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer Dy

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

ICLR 2022 PAC-Bayes Information Bottleneck Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng

NeurIPS 2022 SparCL: Sparse Continual Learning on the Edge Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer Dy

NeurIPS 2022 TransTab: Learning Transferable Tabular Transformers Across Tables Zifeng Wang, Jimeng Sun

NeurIPS 2021 Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer Dy

NeurIPS 2020 Information Theoretic Counterfactual Learning from Missing-Not-at-Random Feedback Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan Kuruoglu, Yefeng Zheng

NeurIPS 2020 Instance-Wise Feature Grouping Aria Masoomi, Chieh Wu, Tingting Zhao, Zifeng Wang, Peter Castaldi, Jennifer Dy

AAAI 2020 Less Is Better: Unweighted Data Subsampling via Influence Function Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang

ECCV 2018 Collaborative Deep Reinforcement Learning for Multi-Object Tracking Liangliang Ren, Jiwen Lu, Zifeng Wang, Qi Tian, Jie Zhou