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胡旭明
Person information
- unicode name: 胡旭明
- affiliation: Hong Kong University of Science and Technology Guangzhou (HKUST-GZ), Guangzhou, China
- affiliation: Hong Kong University of Science and Technology (HKUST), Tai Po Tsai, Hong Kong
- affiliation (PhD ): Tsinghua University, School of Software, Beijing, China
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2020 – today
- 2025
[j7]Aiwei Liu
, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Xi Zhang, Lijie Wen, Irwin King, Hui Xiong, Philip S. Yu:
A Survey of Text Watermarking in the Era of Large Language Models. ACM Comput. Surv. 57(2): 47:1-47:36 (2025)- [j6]Runwei Guan, Liye Jia, Shanliang Yao, Fengyufan Yang, Sheng Xu, Erick Purwanto, Xiaohui Zhu, Ka Lok Man, Eng Gee Lim, Jeremy S. Smith, Xuming Hu, Yutao Yue:
WaterVG: Waterway Visual Grounding Based on Text-Guided Vision and mmWave Radar. IEEE Trans. Intell. Transp. Syst. 26(5): 7275-7291 (2025) - [c45]Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu:
Can Watermarked LLMs be Identified by Users via Crafted Prompts? ICLR 2025 - [c44]Xuming Hu, Xiao Qin, Chuan Lei, Asterios Katsifodimos, Zhengyuan Shen, Balasubramaniam Srinivasan, Huzefa Rangwala:
DiscoverGPT: Multi-task Fine-tuning Large Language Model for Related Table Discovery. NAACL (Findings) 2025: 358-373 - [c43]Xuming Hu, Chuan Lei, Xiao Qin, Asterios Katsifodimos, Christos Faloutsos, Huzefa Rangwala:
PolyJoin: Semantic Multi-key Joinable Table Search in Data Lakes. NAACL (Findings) 2025: 384-395 - [i94]Evelyn Zhang, Bang Xiao, Jiayi Tang, Qianli Ma, Chang Zou, Xuefei Ning, Xuming Hu, Linfeng Zhang:
Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free. CoRR abs/2501.00375 (2025) - [i93]Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Bo Li, Xuming Hu, Xiaowen Chu:
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference. CoRR abs/2502.00299 (2025) - [i92]Yuan Gao, Hao Wu, Ruiqi Shu, Huanshuo Dong, Fan Xu, Rui Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Qing Li, Hui Xiong, Xiaomeng Huang:
OneForecast: A Universal Framework for Global and Regional Weather Forecasting. CoRR abs/2502.00338 (2025) - [i91]Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang, Yibo Yan, Xin Zou, Huiyu Zhou, Linfeng Zhang, Xuming Hu:
RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning. CoRR abs/2502.00848 (2025) - [i90]Xiang Liu, Zhenheng Tang, Hong Chen, Peijie Dong, Zeyu Li, Xiuze Zhou, Bo Li, Xuming Hu, Xiaowen Chu:
Can LLMs Maintain Fundamental Abilities under KV Cache Compression? CoRR abs/2502.01941 (2025) - [i89]Yibo Yan, Shen Wang, Jiahao Huo, Jingheng Ye, Zhendong Chu, Xuming Hu, Philip S. Yu, Carla P. Gomes, Bart Selman, Qingsong Wen:
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning. CoRR abs/2502.02871 (2025) - [i88]Jiahao Huo, Yibo Yan, Xu Zheng, Yuanhuiyi Lyu, Xin Zou, Zhihua Wei, Xuming Hu:
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models. CoRR abs/2502.11051 (2025) - [i87]Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu:
Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? CoRR abs/2502.11598 (2025) - [i86]Jiamin Su, Yibo Yan, Fangteng Fu, Han Zhang, Jingheng Ye, Xiang Liu, Jiahao Huo, Huiyu Zhou, Xuming Hu:
EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models. CoRR abs/2502.11916 (2025) - [i85]Junkai Chen, Zhijie Deng, Kening Zheng, Yibo Yan, Shuliang Liu, PeiJun Wu, Peijie Jiang, Jia Liu, Xuming Hu:
SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning. CoRR abs/2502.12520 (2025) - [i84]Yiwen Zhang, Yifu Wu, Wenyue Hua, Xuming Hu:
Understanding Dynamic Diffusion Process of LLM-based Agents under Information Asymmetry. CoRR abs/2502.13160 (2025) - [i83]Yanggan Gu, Junzhuo Li, Sirui Huang, Xin Zou, Zhenghua Li, Xuming Hu:
Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models. CoRR abs/2502.14272 (2025) - [i82]Sirui Huang, Hanqian Li, Yanggan Gu, Xuming Hu, Qing Li, Guandong Xu:
HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge. CoRR abs/2502.18125 (2025) - [i81]Shaobo Wang, Yicun Yang, Zhiyuan Liu, Chenghao Sun, Xuming Hu, Conghui He, Linfeng Zhang:
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective. CoRR abs/2502.20653 (2025) - [i80]Yijie Xu, Aiwei Liu, Xuming Hu, Lijie Wen, Hui Xiong:
Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking. CoRR abs/2503.04636 (2025) - [i79]Chenfei Liao, Xu Zheng, Yuanhuiyi Lyu, Haiwei Xue, Yihong Cao, Jiawen Wang, Kailun Yang, Xuming Hu:
MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation. CoRR abs/2503.06700 (2025) - [i78]Ding Zhong, Xu Zheng, Chenfei Liao, Yuanhuiyi Lyu, Jialei Chen, Shengyang Wu, Linfeng Zhang, Xuming Hu:
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation. CoRR abs/2503.07098 (2025) - [i77]Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jinheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen:
LLM Agents for Education: Advances and Applications. CoRR abs/2503.11733 (2025) - [i76]Feihong Yan, Qingyan Wei, Jiayi Tang, Jiajun Li, Yulin Wang, Xuming Hu, Huiqi Li, Linfeng Zhang:
LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching. CoRR abs/2503.12450 (2025) - [i75]Xu Zheng, Ziqiao Weng, Yuanhuiyi Lyu, Lutao Jiang, Haiwei Xue, Bin Ren, Danda Pani Paudel, Nicu Sebe, Luc Van Gool, Xuming Hu:
Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook. CoRR abs/2503.18016 (2025) - [i74]Yibo Yan, Shen Wang, Jiahao Huo, Philip S. Yu, Xuming Hu, Qingsong Wen:
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection. CoRR abs/2503.18132 (2025) - [i73]Chenfei Liao, Kaiyu Lei, Xu Zheng, Junha Moon, Zhixiong Wang, Yixuan Wang, Danda Pani Paudel, Luc Van Gool, Xuming Hu:
Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness. CoRR abs/2503.18445 (2025) - [i72]Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu:
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. CoRR abs/2504.15585 (2025) - [i71]Xuming Hu, Hanqian Li, Jungang Li, Aiwei Liu:
VideoMark: A Distortion-Free Robust Watermarking Framework for Video Diffusion Models. CoRR abs/2504.16359 (2025) - [i70]Junyan Zhang, Shuliang Liu, Aiwei Liu, Yubo Gao, Jungang Li, Xiaojie Gu, Xuming Hu:
CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality. CoRR abs/2504.17309 (2025) - 2024
- [j5]Xiaohe Li, Zide Fan, Feilong Huang, Xuming Hu, Yawen Deng, Lei Wang, Xinyu Zhao:
Graph Neural Network with curriculum learning for imbalanced node classification. Neurocomputing 574: 127229 (2024) - [j4]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Aiwei Liu, Shiao Meng, Lijie Wen, Irwin King, Philip S. Yu:
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions. IEEE Trans. Knowl. Data Eng. 36(5): 2026-2040 (2024) - [c42]Xuming Hu, Zhaochen Hong, Yong Jiang, Zhichao Lin, Xiaobin Wang, Pengjun Xie, Philip S. Yu:
Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network. AAAI 2024: 18261-18269 - [c41]Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo:
Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions. ACL (Findings) 2024: 10650-10671 - [c40]Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen:
LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments. ACL (1) 2024: 13055-13077 - [c39]Shiao Meng, Xuming Hu, Aiwei Liu, Fukun Ma, Yawen Yang, Shuang Li, Lijie Wen:
On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations. ACL (Findings) 2024: 16362-16374 - [c38]Xiang Liu, Peijie Dong, Xuming Hu, Xiaowen Chu:
LongGenBench: Long-context Generation Benchmark. EMNLP (Findings) 2024: 865-883 - [c37]Jiahao Huo, Yibo Yan, Boren Hu, Yutao Yue, Xuming Hu:
MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model. EMNLP 2024: 6801-6816 - [c36]Zhonghao Li, Xuming Hu, Aiwei Liu, Kening Zheng, Sirui Huang, Hui Xiong:
Refiner: Restructure Retrieved Content Efficiently to Advance Question-Answering Capabilities. EMNLP (Findings) 2024: 8548-8572 - [c35]Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu:
Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications. EMNLP 2024: 11855-11881 - [c34]Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo:
Towards Understanding Factual Knowledge of Large Language Models. ICLR 2024 - [c33]Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu:
An Unforgeable Publicly Verifiable Watermark for Large Language Models. ICLR 2024 - [c32]Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen:
A Semantic Invariant Robust Watermark for Large Language Models. ICLR 2024 - [c31]Weize Liu, Guocong Li, Kai Zhang, Bang Du, Qiyuan Chen, Xuming Hu, Hongxia Xu, Jintai Chen, Jian Wu:
Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models. NAACL-HLT 2024: 6748-6763 - [c30]Yinghui Li, Qingyu Zhou, Yuanzhen Luo, Shirong Ma, Yangning Li, Hai-Tao Zheng, Xuming Hu, Philip S. Yu:
When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models. NeurIPS 2024 - [c29]Aiwei Liu, Qiang Sheng, Xuming Hu:
Preventing and Detecting Misinformation Generated by Large Language Models. SIGIR 2024: 3001-3004 - [i69]Yinghui Li, Qingyu Zhou, Yuanzhen Luo, Shirong Ma, Yangning Li, Hai-Tao Zheng, Xuming Hu, Philip S. Yu:
When LLMs Meet Cunning Questions: A Fallacy Understanding Benchmark for Large Language Models. CoRR abs/2402.11100 (2024) - [i68]Yinghui Li, Shang Qin, Jingheng Ye, Shirong Ma, Yangning Li, Libo Qin, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu:
Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction. CoRR abs/2402.11420 (2024) - [i67]Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu:
Unraveling Babel: Exploring Multilingual Activation Patterns within Large Language Models. CoRR abs/2402.16367 (2024) - [i66]Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen:
LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments. CoRR abs/2402.16499 (2024) - [i65]Yangning Li, Qingsong Lv, Tianyu Yu, Yinghui Li, Shulin Huang, Tingwei Lu, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Hui Wang:
UltraWiki: Ultra-fine-grained Entity Set Expansion with Negative Seed Entities. CoRR abs/2403.04247 (2024) - [i64]Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo:
Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions. CoRR abs/2403.12077 (2024) - [i63]Runwei Guan, Liye Jia, Fengyufan Yang, Shanliang Yao, Erick Purwanto, Xiaohui Zhu, Eng Gee Lim, Jeremy S. Smith, Ka Lok Man, Xuming Hu, Yutao Yue:
WaterVG: Waterway Visual Grounding based on Text-Guided Vision and mmWave Radar. CoRR abs/2403.12686 (2024) - [i62]Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King:
MarkLLM: An Open-Source Toolkit for LLM Watermarking. CoRR abs/2405.10051 (2024) - [i61]Shiao Meng, Xuming Hu, Aiwei Liu, Fukun Ma, Yawen Yang, Shuang Li, Lijie Wen:
On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations. CoRR abs/2406.07444 (2024) - [i60]Jiahao Huo, Yibo Yan, Boren Hu, Yutao Yue, Xuming Hu:
MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model. CoRR abs/2406.11193 (2024) - [i59]Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li:
A Survey of AIOps for Failure Management in the Era of Large Language Models. CoRR abs/2406.11213 (2024) - [i58]Zhonghao Li, Xuming Hu, Aiwei Liu, Kening Zheng, Sirui Huang, Hui Xiong:
Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities. CoRR abs/2406.11357 (2024) - [i57]Shuo Zhang, Boci Peng, Xinping Zhao, Boren Hu, Yun Zhu, Yanjia Zeng, Xuming Hu:
LLaSA: Large Language and E-Commerce Shopping Assistant. CoRR abs/2408.02006 (2024) - [i56]Kening Zheng, Junkai Chen, Yibo Yan, Xin Zou, Xuming Hu:
Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models. CoRR abs/2408.09429 (2024) - [i55]Sirui Huang, Yanggan Gu, Xuming Hu, Zhonghao Li, Qing Li, Guandong Xu:
Reasoning Factual Knowledge in Structured Data with Large Language Models. CoRR abs/2408.12188 (2024) - [i54]Sisuo Lyu, Xiuze Zhou, Xuming Hu:
Multi-view Hypergraph-based Contrastive Learning Model for Cold-Start Micro-video Recommendation. CoRR abs/2409.09638 (2024) - [i53]Shaobo Wang, Yantai Yang, Shuaiyu Zhang, Chenghao Sun, Weiya Li, Xuming Hu, Linfeng Zhang:
DRUPI: Dataset Reduction Using Privileged Information. CoRR abs/2410.01611 (2024) - [i52]Zitian Gao, Boye Niu, Xuzheng He, Haotian Xu, Hongzhang Liu, Aiwei Liu, Xuming Hu, Lijie Wen:
Interpretable Contrastive Monte Carlo Tree Search Reasoning. CoRR abs/2410.01707 (2024) - [i51]Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu:
Can Watermarked LLMs be Identified by Users via Crafted Prompts? CoRR abs/2410.03168 (2024) - [i50]Xin Zou, Yizhou Wang, Yibo Yan, Sirui Huang, Kening Zheng, Junkai Chen, Chang Tang, Xuming Hu:
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models. CoRR abs/2410.03577 (2024) - [i49]Xiang Liu, Peijie Dong, Xuming Hu, Xiaowen Chu:
LongGenBench: Long-context Generation Benchmark. CoRR abs/2410.04199 (2024) - [i48]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:
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. CoRR abs/2410.04509 (2024) - [i47]Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu:
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality. CoRR abs/2410.04780 (2024) - [i46]Kaichen Huang, Jiahao Huo, Yibo Yan, Kun Wang, Yutao Yue, Xuming Hu:
MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models. CoRR abs/2410.04819 (2024) - [i45]Yiqian Yang, Yiqun Duan, Hyejeong Jo, Qiang Zhang, Renjing Xu, Oiwi Parker Jones, Xuming Hu, Chin-Teng Lin, Hui Xiong:
NeuGPT: Unified multi-modal Neural GPT. CoRR abs/2410.20916 (2024) - [i44]Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang:
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models. CoRR abs/2410.21815 (2024) - [i43]Yunkai Dang, Mengxi Gao, Yibo Yan, Xin Zou, Yanggan Gu, Aiwei Liu, Xuming Hu:
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios. CoRR abs/2411.02708 (2024) - [i42]Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Linfeng Zhang, Lijie Wen, Xuming Hu:
ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models. CoRR abs/2411.15268 (2024) - [i41]Xu Zheng, Haiwei Xue, Jialei Chen, Yibo Yan, Lutao Jiang, Yuanhuiyi Lyu, Kailun Yang, Linfeng Zhang, Xuming Hu:
Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation. CoRR abs/2411.17141 (2024) - [i40]Yunkai Dang, Kaichen Huang, Jiahao Huo, Yibo Yan, Sirui Huang, Dongrui Liu, Mengxi Gao, Jie Zhang, Chen Qian, Kun Wang, Yong Liu, Jing Shao, Hui Xiong, Xuming Hu:
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey. CoRR abs/2412.02104 (2024) - [i39]Boyang Xue, Fei Mi, Qi Zhu, Hongru Wang, Rui Wang, Sheng Wang, Erxin Yu, Xuming Hu, Kam-Fai Wong:
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models. CoRR abs/2412.11803 (2024) - [i38]Yibo Yan, Jiamin Su, Jianxiang He, Fangteng Fu, Xu Zheng, Yuanhuiyi Lyu, Kun Wang, Shen Wang, Qingsong Wen, Xuming Hu:
A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges. CoRR abs/2412.11936 (2024) - [i37]Xiangsen Chen, Xuming Hu, Nan Tang:
Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability. CoRR abs/2412.15101 (2024) - [i36]Xu Zheng, Yuanhuiyi Lyu, Lutao Jiang, Jiazhou Zhou, Lin Wang, Xuming Hu:
MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection. CoRR abs/2412.16876 (2024) - [i35]Chang Zou, Evelyn Zhang, Runlin Guo, Haohang Xu, Conghui He, Xuming Hu, Linfeng Zhang:
Accelerating Diffusion Transformers with Dual Feature Caching. CoRR abs/2412.18911 (2024) - 2023
- [j3]Shu'ang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu:
A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1771-1783 (2023) - [j2]Leixian Shen, Enya Shen, Yuyu Luo, Xiaocong Yang, Xuming Hu, Xiongshuai Zhang, Zhiwei Tai, Jianmin Wang:
Towards Natural Language Interfaces for Data Visualization: A Survey. IEEE Trans. Vis. Comput. Graph. 29(6): 3121-3144 (2023) - [c28]Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King:
Graph Component Contrastive Learning for Concept Relatedness Estimation. AAAI 2023: 13362-13370 - [c27]Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu:
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. ACL (2) 2023: 303-311 - [c26]Fukun Ma, Xuming Hu, Aiwei Liu, Yawen Yang, Shuang Li, Philip S. Yu, Lijie Wen:
AMR-based Network for Aspect-based Sentiment Analysis. ACL (1) 2023: 322-337 - [c25]Aiwei Liu, Wei Liu, Xuming Hu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen:
Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing. ACL (Findings) 2023: 688-700 - [c24]Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen:
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer. ACL (Findings) 2023: 1361-1374 - [c23]Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu:
Automatic Table Union Search with Tabular Representation Learning. ACL (Findings) 2023: 3786-3800 - [c22]Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu:
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks. ACL (Findings) 2023: 9072-9087 - [c21]Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu:
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. ACL (Findings) 2023: 10221-10234 - [c20]Shiao Meng, Xuming Hu, Aiwei Liu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen:
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction. EMNLP 2023: 5208-5226 - [c19]Yawen Yang, Xuming Hu, Fukun Ma, Shu'ang Li, Aiwei Liu, Lijie Wen, Philip S. Yu:
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition. ICASSP 2023: 1-5 - [c18]Xuming Hu, Junzhe Chen, Aiwei Liu, Shiao Meng, Lijie Wen, Philip S. Yu:
Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction. ACM Multimedia 2023: 5185-5194 - [c17]Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu:
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. SIGIR 2023: 2319-2323 - [c16]Xuming Hu, Junzhe Chen, Shiao Meng, Lijie Wen, Philip S. Yu:
SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction. SIGIR 2023: 2364-2368 - [c15]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu:
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. SIGIR 2023: 2436-2440 - [c14]Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu:
MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media. SIGIR 2023: 2901-2912 - [c13]Xuming Hu:
Multimodal Named Entity Recognition and Relation Extraction with Retrieval-Augmented Strategy. SIGIR 2023: 3488 - [i34]Aiwei Liu, Xuming Hu, Lijie Wen, Philip S. Yu:
A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability. CoRR abs/2303.13547 (2023) - [i33]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu:
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. CoRR abs/2305.03503 (2023) - [i32]Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu:
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. CoRR abs/2305.03507 (2023) - [i31]Yawen Yang, Xuming Hu, Fukun Ma, Shu'ang Li, Aiwei Liu, Lijie Wen, Philip S. Yu:
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition. CoRR abs/2305.07266 (2023) - [i30]Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen:
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer. CoRR abs/2305.12761 (2023) - [i29]Xuming Hu, Zhijiang Guo, Guanyu Wu, Lijie Wen, Philip S. Yu:
Give Me More Details: Improving Fact-Checking with Latent Retrieval. CoRR abs/2305.16128 (2023) - [i28]Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu:
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. CoRR abs/2305.16166 (2023) - [i27]Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu:
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. CoRR abs/2305.16663 (2023) - [i26]Aiwei Liu, Wei Liu, Xuming Hu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen:
Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing. CoRR abs/2306.04480 (2023) - [i25]Aiwei Liu, Leyi Pan, Xuming Hu, Shu'ang Li, Lijie Wen, Irwin King, Philip S. Yu:
A Private Watermark for Large Language Models. CoRR abs/2307.16230 (2023) - [i24]Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo:
Do Large Language Models Know about Facts? CoRR abs/2310.05177 (2023) - [i23]Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen:
A Semantic Invariant Robust Watermark for Large Language Models. CoRR abs/2310.06356 (2023) - [i22]Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang:
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR abs/2310.07521 (2023) - [i21]Shiao Meng, Xuming Hu, Aiwei Liu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen:
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction. CoRR abs/2310.15743 (2023) - [i20]Xuming Hu, Junzhe Chen, Aiwei Liu, Shiao Meng, Lijie Wen, Philip S. Yu:
Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction. CoRR abs/2310.16822 (2023) - [i19]Weize Liu, Guocong Li, Kai Zhang, Bang Du, Qiyuan Chen, Xuming Hu, Hongxia Xu, Jintai Chen, Jian Wu:
Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models. CoRR abs/2311.09214 (2023) - [i18]Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu:
A Survey of Text Watermarking in the Era of Large Language Models. CoRR abs/2312.07913 (2023) - 2022
- [j1]Zan Zong, Lijie Wen, Xuming Hu, Rui Han, Chen Qian, Li Lin:
MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs. IEEE Trans. Serv. Comput. 15(5): 2883-2896 (2022) - [c12]Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang:
Domain-Specific NER via Retrieving Correlated Samples. COLING 2022: 2398-2404 - [c11]Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu:
Scene Graph Modification as Incremental Structure Expanding. COLING 2022: 5707-5720 - [c10]Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen:
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. EMNLP 2022: 7664-7676 - [c9]Zeqi Tan, Yongliang Shen, Xuming Hu, Wenqi Zhang, Xiaoxia Cheng, Weiming Lu, Yueting Zhuang:
Query-based Instance Discrimination Network for Relational Triple Extraction. EMNLP 2022: 7677-7690 - [c8]Shuang Li, Xuming Hu, Li Lin, Lijie Wen:
Pair-Level Supervised Contrastive Learning for Natural Language Inference. ICASSP 2022: 8237-8241 - [c7]Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen:
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. KDD 2022: 1021-1030 - [c6]Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu:
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking. NAACL-HLT 2022: 3362-3376 - [c5]Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu'ang Li, Lijie Wen, Philip S. Yu:
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction. NAACL-HLT 2022: 5970-5980 - [c4]Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang:
What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. SIGIR 2022: 1098-1109 - [i17]Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang:
Inferring Commonsense Explanations as Prompts for Future Event Generation. CoRR abs/2201.07099 (2022) - [i16]Shuang Li, Xuming Hu, Li Lin, Lijie Wen:
Pair-Level Supervised Contrastive Learning for Natural Language Inference. CoRR abs/2201.10927 (2022) - [i15]Xiaohe Li, Lijie Wen, Yawen Deng, Fuli Feng, Xuming Hu, Lei Wang, Zide Fan:
Graph Neural Network with Curriculum Learning for Imbalanced Node Classification. CoRR abs/2202.02529 (2022) - [i14]Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu'ang Li, Lijie Wen, Philip S. Yu:
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction. CoRR abs/2205.02225 (2022) - [i13]Shu'ang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu:
A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. CoRR abs/2205.15550 (2022) - [i12]Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu:
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking. CoRR abs/2206.11863 (2022) - [i11]Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen:
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. CoRR abs/2208.03903 (2022) - [i10]Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang:
Domain-Specific NER via Retrieving Correlated Samples. CoRR abs/2208.12995 (2022) - [i9]Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu:
Scene Graph Modification as Incremental Structure Expanding. CoRR abs/2209.09093 (2022) - [i8]Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu:
EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks. CoRR abs/2210.10343 (2022) - [i7]Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen:
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. CoRR abs/2210.17004 (2022) - [i6]Zeqi Tan, Yongliang Shen, Xuming Hu, Wenqi Zhang, Xiaoxia Cheng, Weiming Lu, Yueting Zhuang:
Query-based Instance Discrimination Network for Relational Triple Extraction. CoRR abs/2211.01797 (2022) - [i5]Xuming Hu, Shiao Meng, Chenwei Zhang, Xiangli Yang, Lijie Wen, Irwin King, Philip S. Yu:
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction. CoRR abs/2211.06014 (2022) - 2021
- [c3]Xuming Hu, Chenwei Zhang, Fukun Ma, Chenyao Liu, Lijie Wen, Philip S. Yu:
Semi-supervised Relation Extraction via Incremental Meta Self-Training. EMNLP (Findings) 2021: 487-496 - [c2]Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu:
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. EMNLP (1) 2021: 2737-2746 - [i4]Leixian Shen, Enya Shen, Yuyu Luo, Xiaocong Yang, Xuming Hu, Xiongshuai Zhang, Zhiwei Tai, Jianmin Wang:
Towards Natural Language Interfaces for Data Visualization: A Survey. CoRR abs/2109.03506 (2021) - [i3]Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu:
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. CoRR abs/2109.06415 (2021) - 2020
- [c1]Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu:
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. EMNLP (1) 2020: 3673-3682 - [i2]Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu:
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. CoRR abs/2004.02438 (2020) - [i1]Xuming Hu, Fukun Ma, Chenyao Liu, Chenwei Zhang, Lijie Wen, Philip S. Yu:
Semi-supervised Relation Extraction via Incremental Meta Self-Training. CoRR abs/2010.16410 (2020)
Coauthor Index
[j7] [c45] [i87] [i80] [j4] [c41] [c40] [c39] [c34] [c33] [c32] [i66] [i64] [i62] [i61] [i52] [i51] [i42] [j3] [c26] [c25] [c24] [c23] [c22] [c20] [c19] [c18] [c17] [c16] [c14] [i34] [i32] [i31] [i30] [i29] [i26] [i25] [i24] [i23] [i21] [i20] [i18] [j1] [c11] [c10] [c8] [c7] [c6] [c5] [c4] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i9] [i8] [i7] [i5] [c3] [c2] [i3] [c1] [i2] [i1]
[j7] [c45] [i89] [i87] [i77] [i74] [i72] [j4] [c42] [c41] [c34] [c33] [c30] [i69] [i68] [i64] [i59] [i51] [i48] [j3] [c27] [c26] [c24] [c23] [c22] [c21] [c19] [c18] [c17] [c16] [c15] [c14] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i25] [i24] [i20] [i18] [c11] [c6] [c5] [i14] [i13] [i12] [i9] [i8] [i5] [c3] [c2] [i3] [c1] [i2] [i1]
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