Banghua Zhu - RankMe

72 papers A* 16A 1B 5Journal 48Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL. CoRR Jiaxuan Gao, Wei Fu, Minyang Xie, Shusheng Xu, Chuyi He, Zhiyu Mei, Banghua Zhu, Yi Wu
2025	J	`jnl`	BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution. CoRR Terry Yue Zhuo, Xiaolong Jin, Hange Liu, Juyong Jiang, Tianyang Liu, Chen Gong, Bhupesh Bishnoi, Vaisakhi Mishra, Marek Suppa, Noah Ziems, Saiteja Utpala, Ming Xu, Guangyu Song, Kaixin Li, Yuhan Cao, Bo Liu, Zheng Liu, Sabina Abdurakhmanova, Wenhao Yu, Mengzhao Jia, Jihan Yao, Kenneth Hamilton, Kumar Shridhar, Minh Chien Vu, Dingmin Wang, Jiawei Liu, Zijian Wang, Qian Liu, Binyuan Hui, Meg Risdal, Ahsen Khaliq, Atin Sood, Zhenchang Xing, Wasi Uddin Ahmad, John Grundy, David Lo, Banghua Zhu, Xiaoning Du, Torsten Scholak, Leandro von Werra
2025	A*	`conf`	From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline. ICML Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica
2025	J	`jnl`	GAUSS: Benchmarking Structured Mathematical Skills for Large Language Models. CoRR Yue Zhang, Jiaxin Zhang, Qiuyu Ren, Tahsin Saffat, Xiaoxuan Liu, Zitong Yang, Banghua Zhu, Yi Ma
2025	A*	`conf`	How to Evaluate Reward Models for RLHF. ICLR Evan Frick, Tianle Li, Connor Chen, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Jiantao Jiao, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica
2025	J	`jnl`	Local Linear Attention: An Optimal Interpolation of Linear and Softmax Attention For Test-Time Regression. CoRR Yifei Zuo, Yutong Yin, Zhichen Zeng, Ang Li, Banghua Zhu, Zhaoran Wang
2025	J	`jnl`	MMMG: a Comprehensive and Reliable Evaluation Suite for Multitask Multimodal Generation. CoRR Jihan Yao, Yushi Hu, Yujie Yi, Bin Han, Shangbin Feng, Guang Yang, Bingbing Wen, Ranjay Krishna, Lucy Lu Wang, Yulia Tsvetkov, Noah A. Smith, Banghua Zhu
2025	B	`conf`	Noisy Computing of the Threshold Function. ALT Ziao Wang, Nadim Ghaddar, Banghua Zhu, Lele Wang
2025	J	`jnl`	Reading Between the Lines: Abstaining from VLM-Generated OCR Errors via Latent Representation Probes. CoRR Jihan Yao, Achin Kulshrestha, Nathalie Rauschmayr, Reed Roberts, Banghua Zhu, Yulia Tsvetkov, Federico Tombari
2025	A*	`conf`	Taming Overconfidence in LLMs: Reward Calibration in RLHF. ICLR Jixuan Leng, Chengsong Huang, Banghua Zhu, Jiaxin Huang
2025	J	`jnl`	dUltra: Ultra-Fast Diffusion Language Models via Reinforcement Learning. CoRR Shirui Chen, Jiantao Jiao, Lillian J. Ratliff, Banghua Zhu
2024	A*	`conf`	Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. ICML Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Banghua Zhu, Hao Zhang, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica
2024	J	`jnl`	Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. CoRR Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Hao Zhang, Banghua Zhu, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica
2024	J	`jnl`	Efficient Prompt Caching via Embedding Similarity. CoRR Hanlin Zhu, Banghua Zhu, Jiantao Jiao
2024	A*	`conf`	Fairness in Serving Large Language Models. OSDI Ying Sheng, Shiyi Cao, Dacheng Li, Banghua Zhu, Zhuohan Li, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica
2024	J	`jnl`	Fairness in Serving Large Language Models. CoRR Ying Sheng, Shiyi Cao, Dacheng Li, Banghua Zhu, Zhuohan Li, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica
2024	J	`jnl`	From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline. CoRR Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica
2024	J	`jnl`	Generative AI Security: Challenges and Countermeasures. CoRR Banghua Zhu, Norman Mu, Jiantao Jiao, David A. Wagner
2024	A*	`conf`	Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. ICRA Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, Chen Tang, Wei Zhan
2024	J	`jnl`	How to Evaluate Reward Models for RLHF. CoRR Evan Frick, Tianle Li, Connor Chen, Wei-Lin Chiang, Anastasios N. Angelopoulos, Jiantao Jiao, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica
2024	A*	`conf`	Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF. ICML Banghua Zhu, Michael I. Jordan, Jiantao Jiao
2024	J	`jnl`	Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF. CoRR Banghua Zhu, Michael I. Jordan, Jiantao Jiao
2024	J	`jnl`	Noisy Computing of the OR and MAX Functions. IEEE J. Sel. Areas Inf. Theory Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang
2024	J	`jnl`	Noisy Computing of the Threshold Function. CoRR Ziao Wang, Nadim Ghaddar, Banghua Zhu, Lele Wang
2024	J	`jnl`	Noisy Sorting Capacity. IEEE Trans. Inf. Theory Ziao Wang, Nadim Ghaddar, Banghua Zhu, Lele Wang
2024	—	`conf`	SLoRA: Scalable Serving of Thousands of LoRA Adapters. MLSys Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph Gonzalez, Ion Stoica
2024	J	`jnl`	Taming Overconfidence in LLMs: Reward Calibration in RLHF. CoRR Jixuan Leng, Chengsong Huang, Banghua Zhu, Jiaxin Huang
2024	A*	`conf`	The Effective Horizon Explains Deep RL Performance in Stochastic Environments. ICLR Cassidy Laidlaw, Banghua Zhu, Stuart Russell, Anca D. Dragan
2024	A*	`conf`	Towards the Fundamental Limits of Knowledge Transfer over Finite Domains. ICLR Qingyue Zhao, Banghua Zhu
2023	A	`conf`	Byzantine-Robust Federated Learning with Optimal Statistical Rates. AISTATS Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan
2023	J	`jnl`	Doubly Robust Self-Training. CoRR Banghua Zhu, Mingyu Ding, Philip L. Jacobson, Ming Wu, Wei Zhan, Michael I. Jordan, Jiantao Jiao
2023	A*	`conf`	Doubly-Robust Self-Training. NeurIPS Banghua Zhu, Mingyu Ding, Philip L. Jacobson, Ming Wu, Wei Zhan, Michael I. Jordan, Jiantao Jiao
2023	J	`jnl`	Fine-Tuning Language Models with Advantage-Induced Policy Alignment. CoRR Banghua Zhu, Hiteshi Sharma, Felipe Vieira Frujeri, Shi Dong, Chenguang Zhu, Michael I. Jordan, Jiantao Jiao
2023	J	`jnl`	Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. CoRR Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, Chen Tang, Wei Zhan
2023	A*	`conf`	Jump-Start Reinforcement Learning. ICML Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman
2023	J	`jnl`	Noisy Computing of the OR and MAX Functions. CoRR Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang
2023	J	`jnl`	On Optimal Caching and Model Multiplexing for Large Model Inference. CoRR Banghua Zhu, Ying Sheng, Lianmin Zheng, Clark W. Barrett, Michael I. Jordan, Jiantao Jiao
2023	B	`conf`	On the Optimal Bounds for Noisy Computing. ISIT Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang
2023	J	`jnl`	On the Optimal Bounds for Noisy Computing. CoRR Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang
2023	A*	`conf`	Online Learning in Stackelberg Games with an Omniscient Follower. ICML Geng Zhao, Banghua Zhu, Jiantao Jiao, Michael I. Jordan
2023	J	`jnl`	Online Learning in Stackelberg Games with an Omniscient Follower. CoRR Geng Zhao, Banghua Zhu, Jiantao Jiao, Michael I. Jordan
2023	J	`jnl`	Online Learning in a Creator Economy. CoRR Banghua Zhu, Sai Praneeth Karimireddy, Jiantao Jiao, Michael I. Jordan
2023	J	`jnl`	Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment. CoRR Tianhao Wu, Banghua Zhu, Ruoyu Zhang, Zhaojin Wen, Kannan Ramchandran, Jiantao Jiao
2023	A*	`conf`	Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons. ICML Banghua Zhu, Michael I. Jordan, Jiantao Jiao
2023	J	`jnl`	Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons. CoRR Banghua Zhu, Jiantao Jiao, Michael I. Jordan
2023	J	`jnl`	QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources. CoRR Zhikai Li, Xiaoxuan Liu, Banghua Zhu, Zhen Dong, Qingyi Gu, Kurt Keutzer
2023	J	`jnl`	S-LoRA: Serving Thousands of Concurrent LoRA Adapters. CoRR Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph E. Gonzalez, Ion Stoica
2023	J	`jnl`	The Effective Horizon Explains Deep RL Performance in Stochastic Environments. CoRR Cassidy Laidlaw, Banghua Zhu, Stuart Russell, Anca D. Dragan
2023	A*	`conf`	The Sample Complexity of Online Contract Design. EC Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan
2023	A*	`conf`	Towards Optimal Caching and Model Selection for Large Model Inference. NeurIPS Banghua Zhu, Ying Sheng, Lianmin Zheng, Clark W. Barrett, Michael I. Jordan, Jiantao Jiao
2023	J	`jnl`	Towards Optimal Statistical Watermarking. CoRR Baihe Huang, Banghua Zhu, Hanlin Zhu, Jason D. Lee, Jiantao Jiao, Michael I. Jordan
2023	J	`jnl`	Towards the Fundamental Limits of Knowledge Transfer over Finite Domains. CoRR Qingyue Zhao, Banghua Zhu
2023	B	`conf`	Variable-Length Insertion-Based Noisy Sorting. ISIT Ziao Wang, Nadim Ghaddar, Banghua Zhu, Lele Wang
2022	J	`jnl`	Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. IEEE Trans. Inf. Theory Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
2022	J	`jnl`	Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees. CoRR Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan
2022	J	`jnl`	Jump-Start Reinforcement Learning. CoRR Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman
2022	J	`jnl`	Minimax Off-Policy Evaluation for Multi-Armed Bandits. IEEE Trans. Inf. Theory Cong Ma, Banghua Zhu, Jiantao Jiao, Martin J. Wainwright
2022	B	`conf`	Robust Estimation for Non-parametric Families via Generative Adversarial Networks. ISIT Banghua Zhu, Jiantao Jiao, Michael I. Jordan
2022	J	`jnl`	Robust Estimation for Nonparametric Families via Generative Adversarial Networks. CoRR Banghua Zhu, Jiantao Jiao, Michael I. Jordan
2022	J	`jnl`	The Sample Complexity of Online Contract Design. CoRR Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan
2021	A*	`conf`	Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. NeurIPS Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
2021	J	`jnl`	Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. CoRR Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
2021	J	`jnl`	Linear Representation Meta-Reinforcement Learning for Instant Adaptation. CoRR Matt Peng, Banghua Zhu, Jiantao Jiao
2021	J	`jnl`	Minimax Off-Policy Evaluation for Multi-Armed Bandits. CoRR Cong Ma, Banghua Zhu, Jiantao Jiao, Martin J. Wainwright
2020	J	`jnl`	Deconstructing Generative Adversarial Networks. IEEE Trans. Inf. Theory Banghua Zhu, Jiantao Jiao, David Tse
2020	J	`jnl`	Robust estimation via generalized quasi-gradients. CoRR Banghua Zhu, Jiantao Jiao, Jacob Steinhardt
2020	B	`conf`	When does the Tukey Median work? ISIT Banghua Zhu, Jiantao Jiao, Jacob Steinhardt
2020	J	`jnl`	When does the Tukey median work? CoRR Banghua Zhu, Jiantao Jiao, Jacob Steinhardt
2019	J	`jnl`	Deconstructing Generative Adversarial Networks. CoRR Banghua Zhu, Jiantao Jiao, David Tse
2019	J	`jnl`	Generalized Resilience and Robust Statistics. CoRR Banghua Zhu, Jiantao Jiao, Jacob Steinhardt
2019	J	`jnl`	Joint Transceiver Optimization for Wireless Communication PHY Using Neural Network. IEEE J. Sel. Areas Commun. Banghua Zhu, Jintao Wang, Longzhuang He, Jian Song
2017	—	`conf`	Sparse Tensor Decomposition for Haplotype Assembly of Diploids and Polyploids. BCB Abolfazl Hashemi, Banghua Zhu, Haris Vikalo