Breaking the Curse of Quality Saturation with User-Centric Ranking. - Zhuokai Zhao; Yang Yang 009; Wenyu Wang; Chihuang Liu; Yu Shi; Wenjie Hu 003; Haotian Zhang; Shuang Yang (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)

Multi-Modality Guidance Network For Missing Modality Inference. - Zhuokai Zhao; Harish Palani; Tianyi Liu; Lena Evans; Ruth Toner (CoRR, 2023)

RELAX: Reinforcement Learning Enabled 2D-LiDAR Autonomous System for Parsimonious UAVs. - Guanlin Wu; Zhuokai Zhao; Yutao He (CoRR, 2023)

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 (CoRL, 2024)

Multimodal Guidance Network for Missing- Modality Inference in Content Moderation. - Zhuokai Zhao; Harish Palani; Tianyi Liu; Lena Evans; Ruth Toner (ICME Workshops, 2024)

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding. - Zhaorun Chen; Zhuokai Zhao; Hongyin Luo; Huaxiu Yao; Bo Li 026; Jiawei Zhou (ICML, 2024)

Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards. - Zhaorun Chen; Zhuokai Zhao; Tairan He; Binhao Chen; Xuhao Zhao; Liang Gong; Chengliang Liu (IROS, 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 (NAACL-HLT, 2024)

Direct Acquisition Optimization for Low-Budget Active Learning. - Zhuokai Zhao; Yibo Jiang; Yuxin Chen 001 (CoRR, 2024)

AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition. - Zhaorun Chen; Zhuokai Zhao; Zhihong Zhu; Ruiqi Zhang; Xiang Li 106; Bhiksha Raj; Huaxiu Yao (CoRR, 2024)

RankCLIP: Ranking-Consistent Language-Image Pretraining. - Yiming Zhang; Zhuokai Zhao; Zhaorun Chen; Zhili Feng; Zenghui Ding; Yining Sun (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; et al. (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 001; Sinong Wang (CoRR, 2024)

Beyond Training: Dynamic Token Merging for Zero-Shot Video Understanding. - Yiming Zhang; Zhuokai Zhao; Zhaorun Chen; Zenghui Ding; Xianjun Yang; Yining Sun (CoRR, 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)

Autonomous Multimodal Reasoning via Implicit Chain-of-Vision. - Yiqiao Huang; Qi He; Zhaorun Chen; Haopeng Zhang 005; Hanchao Yu; Zhuokai Zhao (CVPR Workshops, 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 001 (CVPR, 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 (ICLR, 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 001; Sinong Wang (CoRR, 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 (CoRR, 2025)

Transfer between Modalities with MetaQueries. - Xichen Pan; Satya Narayan Shukla; Aashu Singh; Zhuokai Zhao; Shlok Kumar Mishra; Jialiang Wang 001; Zhiyang Xu; Jiuhai Chen; Kunpeng Li; Felix Juefei-Xu; Ji Hou; Saining Xie (CoRR, 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, 2025)

DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data. - Yuhang Zhou; Jing Zhu 005; Shengyi Qian 001; Zhuokai Zhao; Xiyao Wang; Xiaoyu Liu 003; Ming Li; Paiheng Xu; Wei Ai 002; Furong Huang (CoRR, 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; et al. (CoRR, 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, 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, 2025)