Zifeng Wang

73 papers A* 15Journal 44Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Continual Learning of Large Language Models: A Comprehensive Survey.
ACM Comput. Surv.
Haizhou Shi, Zihao Xu, Hengyi Wang, Weiyi Qin, Wenyuan Wang, Yibin Wang, Zifeng Wang, Sayna Ebrahimi, Hao Wang
2026 — conf
SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback.
EACL (Findings)
Fangyuan Xu, Rujun Han, Yanfei Chen, Zifeng Wang, I-Hung Hsu, Jun Yan, Vishy Tirumalashetty, Eunsol Choi, Tomas Pfister, Chen-Yu Lee
2026 J jnl
SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback.
CoRR
Fangyuan Xu, Rujun Han, Yanfei Chen, Zifeng Wang, I-Hung Hsu, Jun Yan, Vishy Tirumalashetty, Eunsol Choi, Tomas Pfister, Chen-Yu Lee
2025 J jnl
ADAPT to Robustify Prompt Tuning Vision Transformers.
Trans. Mach. Learn. Res.
Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer G. Dy
2025 J jnl
Budget-Aware Tool-Use Enables Effective Agent Scaling.
CoRR
Tengxiao Liu, Zifeng Wang, Jin Miao, I-Hung Hsu, Jun Yan, Jiefeng Chen, Rujun Han, Fangyuan Xu, Yanfei Chen, Ke Jiang, Samira Daruki, Yi Liang, William Yang Wang, Tomas Pfister, Chen-Yu Lee
2025 J jnl
Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation.
CoRR
Zhenglun Kong, Zheng Zhan, Shiyue Hou, Yifan Gong, Xin Meng, Pengwei Sui, Peiyan Dong, Xuan Shen, Zifeng Wang, Pu Zhao, Hao Tang, Stratis Ioannidis, Yanzhi Wang
2025 J jnl
HEART: Emotionally-driven test-time scaling of Language Models.
CoRR
Gabriela Pinto, Palash Goyal, Yiwen Song, Souradip Chakraborty, Zifeng Wang, Tomas Pfister, Hamid Palangi
2025 J jnl
Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems.
CoRR
Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister
2025 — conf
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents.
ACL (1)
Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Rajan Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister
2025 J jnl
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents.
CoRR
Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Rajan Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister
2025 — conf
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation.
ACL (1)
Fan Yin, Zifeng Wang, I-Hung Hsu, Jun Yan, Ke Jiang, Yanfei Chen, Jindong Gu, Long T. Le, Kai-Wei Chang, Chen-Yu Lee, Hamid Palangi, Tomas Pfister
2025 J jnl
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation.
CoRR
Fan Yin, Zifeng Wang, I-Hung Hsu, Jun Yan, Ke Jiang, Yanfei Chen, Jindong Gu, Long T. Le, Kai-Wei Chang, Chen-Yu Lee, Hamid Palangi, Tomas Pfister
2025 A* conf
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence.
ICML
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
2025 A* conf
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving.
EMNLP
Mihir Parmar, Xin Liu, Palash Goyal, Yanfei Chen, Long T. Le, Swaroop Mishra, Hossein Mobahi, Jindong Gu, Zifeng Wang, Hootan Nakhost, Chitta Baral, Chen-Yu Lee, Tomas Pfister, Hamid Palangi
2025 J jnl
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving.
CoRR
Mihir Parmar, Xin Liu, Palash Goyal, Yanfei Chen, Long T. Le, Swaroop Mishra, Hossein Mobahi, Jindong Gu, Zifeng Wang, Hootan Nakhost, Chitta Baral, Chen-Yu Lee, Tomas Pfister, Hamid Palangi
2025 J jnl
ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory.
CoRR
Siru Ouyang, Jun Yan, I-Hung Hsu, Yanfei Chen, Ke Jiang, Zifeng Wang, Rujun Han, Long T. Le, Samira Daruki, Xiangru Tang, Vishy Tirumalashetty, George Lee, Mahsan Rofouei, Hangfei Lin, Jiawei Han, Chen-Yu Lee, Tomas Pfister
2025 — conf
Reverse Thinking Makes LLMs Stronger Reasoners.
NAACL (Long Papers)
Justin Chih-Yao Chen, Zifeng Wang, Hamid Palangi, Rujun Han, Sayna Ebrahimi, Long T. Le, Vincent Perot, Swaroop Mishra, Mohit Bansal, Chen-Yu Lee, Tomas Pfister
2025 J jnl
SAIF: Sparse Adversarial and Imperceptible Attack Framework.
Trans. Mach. Learn. Res.
Tooba Imtiaz, Morgan Kohler, Jared Miller, Zifeng Wang, Masih Eskandar, Mario Sznaier, Octavia I. Camps, Jennifer G. Dy
2025 A* conf
STAR: Stability-Inducing Weight Perturbation for Continual Learning.
ICLR
Masih Eskandar, Tooba Imtiaz, Davin Hill, Zifeng Wang, Jennifer G. Dy
2025 J jnl
STAR: Stability-Inducing Weight Perturbation for Continual Learning.
CoRR
Masih Eskandar, Tooba Imtiaz, Davin Hill, Zifeng Wang, Jennifer G. Dy
2025 A* conf
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling.
ICLR
Wenda Xu, Rujun Han, Zifeng Wang, Long T. Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister
2025 A* conf
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting.
ICLR
Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
2025 J jnl
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning.
CoRR
Yihe Deng, I-Hung Hsu, Jun Yan, Zifeng Wang, Rujun Han, Gufeng Zhang, Yanfei Chen, Wei Wang, Tomas Pfister, Chen-Yu Lee
2025 J jnl
When One LLM Drools, Multi-LLM Collaboration Rules.
CoRR
Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov
2024 J jnl
ADAPT to Robustify Prompt Tuning Vision Transformers.
CoRR
Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer G. Dy
2024 — conf
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation.
ACL (Findings)
I-Hung Hsu, Zifeng Wang, Long T. Le, Lesly Miculicich, Nanyun Peng, Chen-Yu Lee, Tomas Pfister
2024 J jnl
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation.
CoRR
I-Hung Hsu, Zifeng Wang, Long T. Le, Lesly Miculicich, Nanyun Peng, Chen-Yu Lee, Tomas Pfister
2024 A* conf
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding.
ICLR
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
2024 J jnl
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding.
CoRR
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
2024 — conf
CodecLM: Aligning Language Models with Tailored Synthetic Data.
NAACL-HLT (Findings)
Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister
2024 J jnl
CodecLM: Aligning Language Models with Tailored Synthetic Data.
CoRR
Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister
2024 J jnl
Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization.
CoRR
Cheng-Yu Hsieh, Yung-Sung Chuang, Chun-Liang Li, Zifeng Wang, Long T. Le, Abhishek Kumar, James R. Glass, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister
2024 — conf
Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization.
ACL (Findings)
Cheng-Yu Hsieh, Yung-Sung Chuang, Chun-Liang Li, Zifeng Wang, Long T. Le, Abhishek Kumar, James R. Glass, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister
2024 — conf
LMDX: Language Model-based Document Information Extraction and Localization.
ACL (Findings)
Vincent Perot, Kai Kang, Florian Luisier, Guolong Su, Xiaoyu Sun, Ramya Sree Boppana, Zilong Wang, Zifeng Wang, Jiaqi Mu, Hao Zhang, Chen-Yu Lee, Nan Hua
2024 J jnl
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence.
CoRR
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
2024 J jnl
Reverse Thinking Makes LLMs Stronger Reasoners.
CoRR
Justin Chih-Yao Chen, Zifeng Wang, Hamid Palangi, Rujun Han, Sayna Ebrahimi, Long T. Le, Vincent Perot, Swaroop Mishra, Mohit Bansal, Chen-Yu Lee, Tomas Pfister
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
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling.
CoRR
Wenda Xu, Rujun Han, Zifeng Wang, Long T. Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister
2024 J jnl
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting.
CoRR
Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
2024 A* conf
TableRAG: Million-Token Table Understanding with Language Models.
NeurIPS
Si-An Chen, Lesly Miculicich, Julian Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister
2024 J jnl
TableRAG: Million-Token Table Understanding with Language Models.
CoRR
Si-An Chen, Lesly Miculicich, Julian Martin Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister
2023 A* conf
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning.
ICML
Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2023 — conf
QueryForm: A Simple Zero-shot Form Entity Query Framework.
ACL (Findings)
Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister
2022 J jnl
Deep Bayesian Unsupervised Lifelong Learning.
Neural Networks
Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy
2022 J jnl
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network.
CoRR
Batool Salehi, Guillem Reus Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2022 J jnl
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network.
IEEE Trans. Veh. Technol.
Batool Salehi, Guillem Reus Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
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
2022 A* conf
Pruning Adversarially Robust Neural Networks without Adversarial Examples.
ICDM
Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
2022 J jnl
Pruning Adversarially Robust Neural Networks without Adversarial Examples.
CoRR
Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
2022 J jnl
QueryForm: A Simple Zero-shot Form Entity Query Framework.
CoRR
Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister
2022 J jnl
Radio Frequency Fingerprinting on the Edge.
IEEE Trans. Mob. Comput.
Tong Jian, Yifan Gong, Zheng Zhan, Runbin Shi, Nasim Soltani, Zifeng Wang, Jennifer G. Dy, Kaushik R. Chowdhury, Yanzhi Wang, Stratis Ioannidis
2022 J jnl
SAIF: Sparse Adversarial and Interpretable Attack Framework.
CoRR
Tooba Imtiaz, Morgan Kohler, Jared Miller, Zifeng Wang, Mario Sznaier, Octavia I. Camps, Jennifer G. Dy
2022 A* conf
SparCL: Sparse Continual Learning on the Edge.
NeurIPS
Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2022 J jnl
SparCL: Sparse Continual Learning on the Edge.
CoRR
Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2021 J jnl
Deep Bayesian Unsupervised Lifelong Learning.
CoRR
Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy
2021 — conf
Deep Learning on Visual and Location Data for V2I mmWave Beamforming.
MSN
Guillem Reus Muns, Batool Salehi, Debashri Roy, Tong Jian, Zifeng Wang, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury
2021 J jnl
Improved prediction of smoking status via isoform-aware RNA-seq deep learning models.
PLoS Comput. Biol.
Zifeng Wang, Aria Masoomi, Zhonghui Xu, Adel Boueiz, Sool Lee, Tingting Zhao, Russell Bowler, Michael H. Cho, Edwin K. Silverman, Craig P. Hersh, Jennifer G. Dy, Peter J. Castaldi
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
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness.
NeurIPS
Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy
2021 J jnl
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness.
CoRR
Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer G. Dy
2020 J jnl
Deep Learning for RF Fingerprinting: A Massive Experimental Study.
IEEE Internet Things Mag.
Tong Jian, Bruno Costa Rendon, Emmanuel Ojuba, Nasim Soltani, Zifeng Wang, Kunal Sankhe, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis
2020 A* conf
Instance-wise Feature Grouping.
NeurIPS
Aria Masoomi, Chieh Wu, Tingting Zhao, Zifeng Wang, Peter J. Castaldi, Jennifer G. Dy
2020 A* conf
Learn-Prune-Share for Lifelong Learning.
ICDM
Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
2020 J jnl
Learn-Prune-Share for Lifelong Learning.
CoRR
Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis
2020 A* conf
Open-World Class Discovery with Kernel Networks.
ICDM
Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy
2020 J jnl
Open-World Class Discovery with Kernel Networks.
CoRR
Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy
2019 J jnl
Adaptive Nonparametric Variational Autoencoder.
CoRR
Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy
2019 — conf
Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning.
DySPAN
Andrey Gritsenko, Zifeng Wang, Tong Jian, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis
2019 — conf
Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections.
MILCOM
Kunal Sankhe, Kaushik R. Chowdhury, Francesco Restuccia, Salvatore D'Oro, Tong Jian, Zifeng Wang, Amani Al-Shawabka, Jennifer G. Dy, Tommaso Melodia, Stratis Ioannidis
2018 — conf
Collaborative Deep Reinforcement Learning for Multi-object Tracking.
ECCV (3)
Liangliang Ren, Jiwen Lu, Zifeng Wang, Qi Tian, Jie Zhou
2018 J jnl
Profiling users by online shopping behaviors.
Multim. Tools Appl.
Huan Yan, Zifeng Wang, Tzu-Heng Lin, Yong Li, Depeng Jin