Hu, Xuming

32 publications

ICLR 2026 DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference Xiang Liu, Xuming Hu, Xiaowen Chu, Eunsol Choi

ICLR 2026 Distilling the Thought, Watermarking the Answer: A Principle Semantic Guided Watermark for Reasoning Large Language Models Shuliang Liu, Xingyu Li, Hongyi Liu, Dong Fang, Duan Bingchen, Zheng Qi, Lingfeng Su, Xuming Hu

ICLR 2026 Investigating Redundancy in Multimodal Large Language Models with Multiple Vision Encoders Yizhou Wang, Song Mao, Yang Chen, Yufan Shen, Pinlong Cai, Ding Wang, Guohang Yan, Zhi Yu, Yinqiao Yan, Xuming Hu, Botian Shi

ICLR 2026 PMark: Towards Robust and Distortion-Free Semantic-Level Watermarking with Channel Constraints Jiahao Huo, Shuliang Liu, Bin Wang, Junyan Zhang, Yibo Yan, Aiwei Liu, Xuming Hu, Mingxun Zhou

ICLR 2026 Rethinking LLM Evaluation: Can We Evaluate LLMs with 200× Less Data? Shaobo Wang, Cong Wang, Wenjie Fu, Yue Min, Mingquan Feng, Isabel Guan, Xuming Hu, Conghui He, Cunxiang Wang, Kexin Yang, Xingzhang Ren, Fei Huang, Dayiheng Liu, Linfeng Zhang

CVPRW 2025 Benchmarking Multi-Modal Semantic Segmentation Under Sensor Failures: Missing and Noisy Modality Robustness Chenfei Liao, Kaiyu Lei, Xu Zheng, Junha Moon, Zhixiong Wang, Yixuan Wang, Danda Pani Paudel, Luc Van Gool, Xuming Hu

ICLRW 2025 Can LLM Watermarking Robustly Prevent Unauthorized Knowledge Distillation? Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu

ICLR 2025 Can Watermarked LLMs Be Identified by Users via Crafted Prompts? Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu

NeurIPS 2025 ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Liuyue, Bo Li, Xuming Hu, Xiaowen Chu

ICLRW 2025 CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Junyan Zhang, Shuliang Liu, Aiwei Liu, Yubo Gao, Jungang Li, Xiaojie Gu, Xuming Hu

ICLRW 2025 DRUPI: Dataset Reduction Using Privileged Information Shaobo Wang, Yantai Yang, Shuaiyu Zhang, Chenghao Sun, Weiya Li, Xuming Hu, Linfeng Zhang

CVPR 2025 Dataset Distillation with Neural Characteristic Function: A Minmax Perspective Shaobo Wang, Yicun Yang, Zhiyuan Liu, Chenghao Sun, Xuming Hu, Conghui He, Linfeng Zhang

NeurIPS 2025 Don't Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention Xin Zou, Di Lu, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Xu Zheng, Linfeng Zhang, Xuming Hu

ICLRW 2025 ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models via Error Detection Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, YiFan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen

ICLR 2025 Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang

CVPR 2025 ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Linfeng Zhang, Lijie Wen, Xuming Hu

ICCV 2025 LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching Feihong Yan, Qingyan Wei, Jiayi Tang, Jiajun Li, Yulin Wang, Xuming Hu, Huiqi Li, Linfeng Zhang

NeurIPS 2025 LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning Junyu Chen, Junzhuo Li, Zhen Peng, Wenjie Wang, Yuxiang Ren, Long Shi, Xuming Hu

ICML 2025 Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models Xin Zou, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Kening Zheng, Sirui Huang, Junkai Chen, Peijie Jiang, Jia Liu, Chang Tang, Xuming Hu

ICLRW 2025 Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking Yijie Xu, Aiwei Liu, Xuming Hu, Lijie Wen, Hui Xiong

ICLR 2025 Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu

ICCV 2025 OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation Ding Zhong, Xu Zheng, Chenfei Liao, Yuanhuiyi Lyu, Jialei Chen, Shengyang Wu, Linfeng Zhang, Xuming Hu

ICML 2025 OneForecast: A Universal Framework for Global and Regional Weather Forecasting Yuan Gao, Hao Wu, Ruiqi Shu, Huanshuo Dong, Fan Xu, Rui Ray Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Li Qing, Hui Xiong, Xiaomeng Huang

NeurIPS 2025 RTV-Bench: Benchmarking MLLM Continuous Perception, Understanding and Reasoning Through Real-Time Video ShuHang Xun, Sicheng Tao, Jungang Li, Yibo Shi, Zhixin Lin, Zhanhui Zhu, Yibo Yan, Hanqian Li, LingHao Zhang, Shikang Wang, Yixin Liu, Hanbo Zhang, Ying Ma, Xuming Hu

ICML 2025 RealRAG: Retrieval-Augmented Realistic Image Generation via Self-Reflective Contrastive Learning Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang, Yibo Yan, Xin Zou, Huiyu Zhou, Linfeng Zhang, Xuming Hu

ICCV 2025 Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Xu Zheng, Yuanhuiyi Lyu, Lutao Jiang, Danda Pani Paudel, Luc Van Gool, Xuming Hu

ICLR 2024 A Semantic Invariant Robust Watermark for Large Language Models Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen

ICLR 2024 An Unforgeable Publicly Verifiable Watermark for Large Language Models Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu

AAAI 2024 Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network Xuming Hu, Zhaochen Hong, Yong Jiang, Zhichao Lin, Xiaobin Wang, Pengjun Xie, Philip S. Yu

ICLR 2024 Towards Understanding Factual Knowledge of Large Language Models Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo

NeurIPS 2024 When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models Yinghui Li, Qingyu Zhou, Yuanzhen Luo, Shirong Ma, Yangning Li, Hai-Tao Zheng, Xuming Hu, Philip S. Yu

AAAI 2023 Graph Component Contrastive Learning for Concept Relatedness Estimation Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King