Zhuokai Zhao

According to our database, Zhuokai Zhao authored at least 46 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Self-Evolving Multi-Agent Systems via Decentralized Memory.

Guangya Hao, Yunbo Long, Zhuokai Zhao

CoRR, May, 2026

Self-Policy Distillation via Capability-Selective Subspace Projection.

Guangya Hao, Yitong Shang, Yunbo Long, Zhuokai Zhao, Hanxue Liang

CoRR, May, 2026

Agentic Recommender System with Hierarchical Belief-State Memory.

Xiang Shen, Yuhang Zhou, Yifan Wu, Zhuokai Zhao, Siyu Lin, Lei Huang, Qianqian Zhong, Lizhu Zhang, Benyu Zhang, Xiangjun Fan, Hong Yan

CoRR, May, 2026

Synthetic Sandbox for Training Machine Learning Engineering Agents.

Yuhang Zhou, Lizhu Zhang, Yifan Wu, Jiayi Liu, Xiangjun Fan, Zhuokai Zhao, Hong Yan

CoRR, April, 2026

LLM-Driven Reasoning for Constraint-Aware Feature Selection in Industrial Systems.

Yuhang Zhou, Zhuokai Zhao, Ke Li, Spilios Evmorfos, Gökalp Demirci, Mingyi Wang, Qiao Liu, Qifei Wang, Serena Li, Weiwei Li, Tingting Wang, Mingze Gao, Gedi Zhou, Abhishek Kumar, Xiangjun Fan, Lizhu Zhang, Jiayi Liu

CoRR, March, 2026

TARo: Token-level Adaptive Routing for LLM Test-time Alignment.

Arushi Rai, Qiang Zhang, Hanqing Zeng, Yunkai Zhang, Dipesh Tamboli, Xiangjun Fan, Zhuokai Zhao, Lizhu Zhang

CoRR, March, 2026

Accelerating PDE Surrogates via RL-Guided Mesh Optimization.

Yang Meng, Ruoxi Jiang, Zhuokai Zhao, Chong Liu, Rebecca Willett, Yuxin Chen

CoRR, March, 2026

Token-Level LLM Collaboration via FusionRoute.

Nuoya Xiong, Yuhang Zhou, Hanqing Zeng, Zhaorun Chen, Furong Huang, Shuchao Bi, Lizhu Zhang, Zhuokai Zhao

CoRR, January, 2026

Guiding Generative Recommender Systems with Structured Human Priors via Multi-head Decoding.

Yunkai Zhang, Qiang Zhang, Diji Yang, Ryan Lin, Ruizhong Qiu, Benyu Zhang, Hanchao Yu, Jason Liu, Yinglong Xia, Zhuokai Zhao, Lizhu Zhang, Xiangjun Fan, Zhuoran Yu, Abhishek Kumar, Zeyu Zheng

Proceedings of the ACM Web Conference 2026, 2026

RecoWorld: Building Simulated Environments for Agentic Recommender Systems.

Fei Liu, Xinyu Lin, Hanchao Yu, Mingyuan Wu, Jianyu Wang, Qiang Zhang, Zhuokai Zhao, Yinglong Xia, Yao Zhang, Weiwei Li, Mingze Gao, Qifan Wang, Lizhu Zhang, Benyu Zhang, Xiangjun Fan

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding.

Yuhang Zhou, Mingrui Zhang, Ke Li, Mingyi Wang, Qiao Liu, Qifei Wang, Jiayi Liu, Fei Liu, Serena Li, Weiwei Li, Mingze Gao, Abhishek Kumar, Xiangjun Fan, Zhuokai Zhao, Lizhu Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Scaling Agent Learning via Experience Synthesis.

Zhaorun Chen, Zhuokai Zhao, Kai Zhang, Bo Liu, Qi Qi, Yifan Wu, Tarun Kalluri, Sara Cao, Yuanhao Xiong, Haibo Tong, Huaxiu Yao, Hengduo Li, Jiacheng Zhu, Xian Li, Dawn Song, Bo Li, Jason Weston, Dat Huynh

CoRR, November, 2025

Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding.

Yuhang Zhou, Mingrui Zhang, Ke Li, Mingyi Wang, Qiao Liu, Qifei Wang, Jiayi Liu, Fei Liu, Serena Li, Weiwei Li, Mingze Gao, Abhishek Kumar, Xiangjun Fan, Zhuokai Zhao, Lizhu Zhang

CoRR, October, 2025

LILO: Bayesian Optimization with Interactive Natural Language Feedback.

Katarzyna Kobalczyk, Zhiyuan Jerry Lin, Benjamin Letham, Zhuokai Zhao, Maximilian Balandat, Eytan Bakshy

CoRR, October, 2025

Let it Calm: Exploratory Annealed Decoding for Verifiable Reinforcement Learning.

Chenghao Yang, Lin Gui, Chenxiao Yang, Victor Veitch, Lizhu Zhang, Zhuokai Zhao

CoRR, October, 2025

Exploring System 1 and 2 communication for latent reasoning in LLMs.

Julian Coda-Forno, Zhuokai Zhao, Qiang Zhang, Dipesh Tamboli, Weiwei Li, Xiangjun Fan, Lizhu Zhang, Eric Schulz, Hsiao-Ping Tseng

CoRR, October, 2025

StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding.

Yanlai Yang, Zhuokai Zhao, Satya Narayan Shukla, Aashu Singh, Shlok Kumar Mishra, Lizhu Zhang, Mengye Ren

CoRR, August, 2025

CircuitProbe: Dissecting Spatiotemporal Visual Semantics with Circuit Tracing.

Yiming Zhang, Chengzhang Yu, Zhuokai Zhao, Kun Wang, Qiankun Li, Zihan Chen, Yang Liu, Zenghui Ding, Yining Sun

CoRR, July, 2025

Boosting LLM Reasoning via Spontaneous Self-Correction.

Xutong Zhao, Tengyu Xu, Xuewei Wang, Zhengxing Chen, Di Jin, Liang Tan, Yen-Ting, Zishun Yu, Zhuokai Zhao, Yun He, Sinong Wang, Han Fang, Sarath Chandar, Chenguang Zhu

CoRR, June, 2025

S'MoRE: Structural Mixture of Residual Experts for LLM Fine-tuning.

Hanqing Zeng, Yinglong Xia, Zhuokai Zhao, Gilbert Jiang, Qiang Zhang, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Benyu Zhang

CoRR, April, 2025

Transfer between Modalities with MetaQueries.

Xichen Pan, Satya Narayan Shukla, Aashu Singh, Zhuokai Zhao, Shlok Kumar Mishra, Jialiang Wang, Zhiyang Xu, Jiuhai Chen, Kunpeng Li, Felix Juefei-Xu, Ji Hou, Saining Xie

CoRR, April, 2025

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment.

Chaoqi Wang, Zhuokai Zhao, Yibo Jiang, Zhaorun Chen, Chen Zhu, Yuxin Chen, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Hao Ma, Sinong Wang

CoRR, January, 2025

Thought Communication in Multiagent Collaboration.

Yujia Zheng, Zhuokai Zhao, Zijian Li, Yaqi Xie, Mingze Gao, Lizhu Zhang, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

S'MoRE: Structural Mixture of Residual Experts for Parameter-Efficient LLM Fine-tuning.

Hanqing Zeng, Yinglong Xia, Zhuokai Zhao, Chuan Jiang, Qiang Zhang, Jiayi Liu, Qunshu Zhang, Lizhu Zhang, Xiangjun Fan, Benyu Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding.

Yixiong Fang, Ziran Yang, Zhaorun Chen, Zhuokai Zhao, Jiawei Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Quantifying Generalization Complexity for Large Language Models.

Zhenting Qi, Hongyin Luo, Xuliang Huang, Zhuokai Zhao, Yibo Jiang, Xiangjun Fan, Himabindu Lakkaraju, James R. Glass

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RankCLIP: Ranking-Consistent Language-Image Pretraining.

Yiming Zhang, Zhuokai Zhao, Zhaorun Chen, Zhili Feng, Zenghui Ding, Yining Sun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Beyond Training: Dynamic Token Merging for Zero-Shot Video Understanding.

Yiming Zhang, Zhuokai Zhao, Zhaorun Chen, Zenghui Ding, Xianjun Yang, Yining Sun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

CAFE: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning.

Hao Yu, Zhuokai Zhao, Shen Yan, Lukasz Korycki, Jianyu Wang, Baosheng He, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Hanchao Yu

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data.

Yuhang Zhou, Jing Zhu, Shengyi Qian, Zhuokai Zhao, Xiyao Wang, Xiaoyu Liu, Ming Li, Paiheng Xu, Wei Ai, Furong Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

HumanMM: Global Human Motion Recovery from Multi-shot Videos.

Yuhong Zhang, Guanlin Wu, Ling-Hao Chen, Zhuokai Zhao, Jing Lin, Xiaoke Jiang, Jiamin Wu, Zhuoheng Li, Hao (Frank) Yang, Haoqian Wang, Lei Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Autonomous Multimodal Reasoning via Implicit Chain-of-Vision.

Yiqiao Huang, Qi He, Zhaorun Chen, Haopeng Zhang, Hanchao Yu, Zhuokai Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

From Uncertainty to Trust: Enhancing Reliability in Vision-Language Models with Uncertainty-Guided Dropout Decoding.

Yixiong Fang, Ziran Yang, Zhaorun Chen, Zhuokai Zhao, Jiawei Zhou

CoRR, 2024

Preference Optimization with Multi-Sample Comparisons.

Chaoqi Wang, Zhuokai Zhao, Chen Zhu, Karthik Abinav Sankararaman, Michal Valko, Xuefei Cao, Zhaorun Chen, Madian Khabsa, Yuxin Chen, Hao Ma, Sinong Wang

CoRR, 2024

MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

Zhaorun Chen, Yichao Du, Zichen Wen, Yiyang Zhou, Chenhang Cui, Zhenzhen Weng, Haoqin Tu, Chaoqi Wang, Zhengwei Tong, Qinglan Huang, Canyu Chen, Qinghao Ye, Zhihong Zhu, Yuqing Zhang, Jiawei Zhou, Zhuokai Zhao, Rafael Rafailov, Chelsea Finn, Huaxiu Yao

CoRR, 2024

AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition.

Zhaorun Chen, Zhuokai Zhao, Zhihong Zhu, Ruiqi Zhang, Xiang Li, Bhiksha Raj, Huaxiu Yao

CoRR, 2024

Direct Acquisition Optimization for Low-Budget Active Learning.

Zhuokai Zhao, Yibo Jiang, Yuxin Chen

CoRR, 2024

AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition.

Zhaorun Chen, Zhuokai Zhao, Zhihong Zhu, Ruiqi Zhang, Xiang Li, Bhiksha Raj, Huaxiu Yao

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards.

Zhaorun Chen, Zhuokai Zhao, Tairan He, Binhao Chen, Xuhao Zhao, Liang Gong, Chengliang Liu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding.

Zhaorun Chen, Zhuokai Zhao, Hongyin Luo, Huaxiu Yao, Bo Li, Jiawei Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multimodal Guidance Network for Missing- Modality Inference in Content Moderation.

Zhuokai Zhao, Harish Palani, Tianyi Liu, Lena Evans, Ruth Toner

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving.

Siyue Wang, Zhaorun Chen, Zhuokai Zhao, Chaoli Mao, Yiyang Zhou, Jiayu He, Albert Sibo Hu

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

RELAX: Reinforcement Learning Enabled 2D-LiDAR Autonomous System for Parsimonious UAVs.

Guanlin Wu, Zhuokai Zhao, Yutao He

CoRR, 2023

Multi-Modality Guidance Network For Missing Modality Inference.

Zhuokai Zhao, Harish Palani, Tianyi Liu, Lena Evans, Ruth Toner

CoRR, 2023

Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits.

Zhuokai Zhao, Takumi Matsuzawa, William Irvine, Michael Maire, Gordon L. Kindlmann

CoRR, 2023

Breaking the Curse of Quality Saturation with User-Centric Ranking.

Zhuokai Zhao, Yang Yang, Wenyu Wang, Chihuang Liu, Yu Shi, Wenjie Hu, Haotian Zhang, Shuang Yang

CoRR, 2023