Xuming Hu - RankMe

259 papers A* 38B 2Misc 3Journal 174Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of AIOps in the Era of Large Language Models. ACM Comput. Surv. Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li
2026	J	`jnl`	A Visual Semantic Adaptive Watermark grounded by Prefix-Tuning for Large Vision-Language Model. CoRR Qi Zheng, Shuliang Liu, Yu Huang, Sihang Jia, Jungang Li, Lyuhao Chen, Junhao Chen, Hanqian Li, Aiwei Liu, Yibo Yan, Xuming Hu
2026	J	`jnl`	AndroTMem: From Interaction Trajectories to Anchored Memory in Long-Horizon GUI Agents. CoRR Yibo Shi, Jungang Li, Linghao Zhang, Zihao Dongfang, Biao Wu, Sicheng Tao, Yibo Yan, Chenxi Qin, Weiting Liu, Zhixin Lin, Hanqian Li, Yu Huang, Song Dai, Yonghua Hei, Yue Ding, Xiang Li, Shikang Wang, Chengdong Xu, Jingqi Liu, Xueying Ma, Zhiwen Zheng, Xiaofei Zhang, Bincheng Wang, Nichen Yang, Jie Wu, Lihua Tian, Chen Li, Xuming Hu
2026	J	`jnl`	Beyond the Grid: Layout-Informed Multi-Vector Retrieval with Parsed Visual Document Representations. CoRR Yibo Yan, Mingdong Ou, Yi Cao, Xin Zou, Shuliang Liu, Jiahao Huo, Yue Huang, James T. Kwok, Xuming Hu
2026	J	`jnl`	Bridging Visual Representation and Reinforcement Learning from Verifiable Rewards in Large Vision-Language Models. CoRR Yuhang Han, Yuyang Wu, Zhengbo Jiao, Yiyu Wang, Xuyang Liu, Shaobo Wang, Hanlin Xu, Xuming Hu, Linfeng Zhang
2026	—	`conf`	CSSG: A Continuous Spatio-temporal Graph Learning Framework with Scalable Spatial Granularity. KDD (1) Kaiwen Xia, Li Lin, Qi Zhang, Xinrui Zhang, Shuai Wang, Xuming Hu, Philip S. Yu
2026	J	`jnl`	CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding. CoRR Jiahao Huo, Yu Huang, Yibo Yan, Ye Pan, Yi Cao, Mingdong Ou, Philip S. Yu, Xuming Hu
2026	A*	`conf`	Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models. AAAI Bo Wang, Junzhuo Li, Hong Chen, Yuanlin Chu, Yuxuan Fan, Xuming Hu
2026	J	`jnl`	Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models. CoRR Bo Wang, Junzhuo Li, Hong Chen, Yuanlin Chu, Yuxuan Fan, Xuming Hu
2026	J	`jnl`	Distilling the Thought, Watermarking the Answer: A Principle Semantic Guided Watermark for Large Reasoning Models. CoRR Shuliang Liu, Xingyu Li, Hongyi Liu, Yibo Yan, Bingchen Duan, Qi Zheng, Dong Fang, Lingfeng Su, Xuming Hu
2026	A*	`conf`	DualScope: Capturing Critical Spatial and Temporal Cues for Distracted Driving Activity Recognition. AAAI Zhijie Qiu, Shuaibo Li, Laixin Zhang, Xuming Hu, Wei Ma
2026	J	`jnl`	EgoIntent: An Egocentric Step-level Benchmark for Understanding What, Why, and Next. CoRR Ye Pan, Chi Kit Wong, Yuanhuiyi Lyu, Hanqian Li, Jiahao Huo, Jiacheng Chen, Lutao Jiang, Xu Zheng, Xuming Hu
2026	J	`jnl`	LatentGeo: Learnable Auxiliary Constructions in Latent Space for Multimodal Geometric Reasoning. CoRR Haiying Xu, Zihan Wang, Song Dai, Zhengxuan Zhang, Kairan Dou, Xuming Hu
2026	J	`jnl`	Multimodal named entity recognition in the era of large pre-trained models: A comprehensive survey. Inf. Fusion Mingying Xu, Fei Hou, Jie Liu, Mengmei Zhang, Lei Shi, Feifei Kou, Lei Guo, Philip S. Yu, Xuming Hu
2026	J	`jnl`	Optimal Expert-Attention Allocation in Mixture-of-Experts: A Scalable Law for Dynamic Model Design. CoRR Junzhuo Li, Peijie Jiang, Changxin Tian, Jia Liu, Zhiqiang Zhang, Xuming Hu
2026	J	`jnl`	Panoramic Affordance Prediction. CoRR Zixin Zhang, Chenfei Liao, Hongfei Zhang, Harold Haodong Chen, Kanghao Chen, Zichen Wen, Litao Guo, Bin Ren, Xu Zheng, Yinchuan Li, Xuming Hu, Nicu Sebe, Ying-Cong Chen
2026	J	`jnl`	SONIC: Segmented Optimized Nexus for Information Compression in Key-Value Caching. CoRR Hong Chen, Xiang Liu, Bo Wang, Yuxuan Fan, Yuanlin Chu, Zongluo Li, Xiaowen Chu, Xuming Hu
2026	J	`jnl`	Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework. CoRR Yibo Yan, Mingdong Ou, Yi Cao, Xin Zou, Jiahao Huo, Shuliang Liu, James Kwok, Xuming Hu
2026	A*	`conf`	Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning. AAAI Jialong Qin, Xin Zou, Di Lu, Yibo Yan, Xuming Hu
2026	J	`jnl`	StruVis: Enhancing Reasoning-based Text-to-Image Generation via Thinking with Structured Vision. CoRR Yuanhuiyi Lyu, Kaiyu Lei, Ziqiao Weng, Xu Zheng, Lutao Jiang, Teng Li, Yangfu Li, Ziyuan Huang, Linfeng Zhang, Xuming Hu
2026	J	`jnl`	Survey on Factuality in Large Language Models. ACM Comput. Surv. Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Qipeng Guo, Xiangkun Hu, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Xuming Hu, Zehan Qi, Wenyang Gao, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang
2026	J	`jnl`	Temporal Gains, Spatial Costs: Revisiting Video Fine-Tuning in Multimodal Large Language Models. CoRR Linghao Zhang, Jungang Li, Yonghua Hei, Sicheng Tao, Song Dai, Yibo Yan, Zihao Dongfang, Weiting Liu, Chenxi Qin, Hanqian Li, Xin Zou, Jiahao Zhang, Shuhang Xun, Haiyun Jiang, Xuming Hu
2026	J	`jnl`	Unlocking Multimodal Document Intelligence: From Current Triumphs to Future Frontiers of Visual Document Retrieval. CoRR Yibo Yan, Jiahao Huo, Guanbo Feng, Mingdong Ou, Yi Cao, Xin Zou, Shuliang Liu, Yuanhuiyi Lyu, Yue Huang, Jungang Li, Kening Zheng, Xu Zheng, Philip S. Yu, James Kwok, Xuming Hu
2026	J	`jnl`	Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering. CoRR Shuliang Liu, Songbo Yang, Dong Fang, Sihang Jia, Yuqi Tang, Lingfeng Su, Ruoshui Peng, Yibo Yan, Xin Zou, Xuming Hu
2025	J	`jnl`	A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. CoRR 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
2025	J	`jnl`	A Survey of AIOps in the Era of Large Language Models. CoRR Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li
2025	—	`conf`	A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges. ACL (Findings) Yibo Yan, Jiamin Su, Jianxiang He, Fangteng Fu, Xu Zheng, Yuanhuiyi Lyu, Kun Wang, Shen Wang, Qingsong Wen, Xuming Hu
2025	J	`jnl`	A Survey of Text Watermarking in the Era of Large Language Models. ACM Comput. Surv. Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Xi Zhang, Lijie Wen, Irwin King, Hui Xiong, Philip S. Yu
2025	J	`jnl`	A Survey on Parallel Text Generation: From Parallel Decoding to Diffusion Language Models. CoRR Lingzhe Zhang, Liancheng Fang, Chiming Duan, Minghua He, Leyi Pan, Pei Xiao, Shiyu Huang, Yunpeng Zhai, Xuming Hu, Philip S. Yu, Aiwei Liu
2025	—	`conf`	A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models. ACL (Findings) Shuliang Liu, Hongyi Liu, Aiwei Liu, Bingchen Duan, Zheng Qi, Yibo Yan, He Geng, Peijie Jiang, Jia Liu, Xuming Hu
2025	J	`jnl`	A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models. CoRR Shuliang Liu, Hongyi Liu, Aiwei Liu, Bingchen Duan, Qi Zheng, Yibo Yan, He Geng, Peijie Jiang, Jia Liu, Xuming Hu
2025	J	`jnl`	AI for Service: Proactive Assistance with AI Glasses. CoRR Zichen Wen, Yiyu Wang, Chenfei Liao, Boxue Yang, Junxian Li, Weifeng Liu, Haocong He, Bolong Feng, Xuyang Liu, Yuanhuiyi Lyu, Xu Zheng, Xuming Hu, Linfeng Zhang
2025	J	`jnl`	Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning? CoRR Zihao Dongfang, Xu Zheng, Ziqiao Weng, Yuanhuiyi Lyu, Danda Pani Paudel, Luc Van Gool, Kailun Yang, Xuming Hu
2025	J	`jnl`	Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods. CoRR Chenfei Liao, Wensong Wang, Zichen Wen, Xu Zheng, Yiyu Wang, Haocong He, Yuanhuiyi Lyu, Lutao Jiang, Xin Zou, Yuqian Fu, Bin Ren, Linfeng Zhang, Xuming Hu
2025	—	`conf`	Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness. CVPR Workshops Chenfei Liao, Kaiyu Lei, Xu Zheng, Junha Moon, Zhixiong Wang, Yixuan Wang, Danda Pani Paudel, Luc Van Gool, Xuming Hu
2025	J	`jnl`	Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness. CoRR Chenfei Liao, Kaiyu Lei, Xu Zheng, Junha Moon, Zhixiong Wang, Yixuan Wang, Danda Pani Paudel, Luc Van Gool, Xuming Hu
2025	J	`jnl`	Building a Stable Planner: An Extended Finite State Machine Based Planning Module for Mobile GUI Agent. CoRR Fanglin Mo, Junzhe Chen, Haoxuan Zhu, Xuming Hu
2025	J	`jnl`	CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring. CoRR Jiamin Su, Yibo Yan, Zhuoran Gao, Han Zhang, Xiang Liu, Xuming Hu
2025	J	`jnl`	CATMark: A Context-Aware Thresholding Framework for Robust Cross-Task Watermarking in Large Language Models. CoRR Yu Zhang, Shuliang Liu, Xu Yang, Xuming Hu
2025	—	`conf`	Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? ACL (1) Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu
2025	J	`jnl`	Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? CoRR Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu
2025	J	`jnl`	Can LLMs Maintain Fundamental Abilities under KV Cache Compression? CoRR Xiang Liu, Zhenheng Tang, Hong Chen, Peijie Dong, Zeyu Li, Xiuze Zhou, Bo Li, Xuming Hu, Xiaowen Chu
2025	A*	`conf`	Can Watermarked LLMs be Identified by Users via Crafted Prompts? ICLR Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu
2025	—	`conf`	Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models. ACL (Findings) Yanggan Gu, Junzhuo Li, Sirui Huang, Xin Zou, Zhenghua Li, Xuming Hu
2025	J	`jnl`	Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models. CoRR Yanggan Gu, Junzhuo Li, Sirui Huang, Xin Zou, Zhenghua Li, Xuming Hu
2025	J	`jnl`	ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference. CoRR Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Bo Li, Xuming Hu, Xiaowen Chu
2025	J	`jnl`	CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality. CoRR Junyan Zhang, Shuliang Liu, Aiwei Liu, Yubo Gao, Jungang Li, Xiaojie Gu, Xuming Hu
2025	J	`jnl`	Compliance-to-Code: Enhancing Financial Compliance Checking via Code Generation. CoRR Siyuan Li, Jian Chen, Rui Yao, Xuming Hu, Peilin Zhou, Weihua Qiu, Simin Zhang, Chucheng Dong, Zhiyao Li, Qipeng Xie, Zixuan Yuan
2025	J	`jnl`	Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding. CoRR Runwei Guan, Ningwei Ouyang, Tianhao Xu, Shaofeng Liang, Wei Dai, Yafeng Sun, Shang Gao, Songning Lai, Shanliang Yao, Xuming Hu, Ryan Wen Liu, Yutao Yue, Hui Xiong
2025	—	`conf`	Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning. ACL (1) Shaobo Wang, Xiangqi Jin, Ziming Wang, Jize Wang, Jiajun Zhang, Kaixin Li, Zichen Wen, Zhong Li, Conghui He, Xuming Hu, Linfeng Zhang
2025	J	`jnl`	Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning. CoRR Shaobo Wang, Xiangqi Jin, Ziming Wang, Jize Wang, Jiajun Zhang, Kaixin Li, Zichen Wen, Zhong Li, Conghui He, Xuming Hu, Linfeng Zhang
2025	A*	`conf`	Dataset Distillation with Neural Characteristic Function: A Minmax Perspective. CVPR Shaobo Wang, Yicun Yang, Zhiyuan Liu, Chenghao Sun, Xuming Hu, Conghui He, Linfeng Zhang
2025	J	`jnl`	Dataset Distillation with Neural Characteristic Function: A Minmax Perspective. CoRR Shaobo Wang, Yicun Yang, Zhiyuan Liu, Chenghao Sun, Xuming Hu, Conghui He, Linfeng Zhang
2025	—	`conf`	DeKeyNLU: Enhancing Natural Language to SQL Generation through Task Decomposition and Keyword Extraction. EMNLP (Findings) Jian Chen, Zhenyan Chen, Xuming Hu, Peilin Zhou, Yining Hua, Han Fang, Cissy Hing Yee Choy, Xinmei Ke, Jingfeng Luo, Zixuan Yuan
2025	J	`jnl`	DeKeyNLU: Enhancing Natural Language to SQL Generation through Task Decomposition and Keyword Extraction. CoRR Jian Chen, Zhenyan Chen, Xuming Hu, Peilin Zhou, Yining Hua, Han Fang, Cissy Hing Yee Choy, Xinmei Ke, Jingfeng Luo, Zixuan Yuan
2025	—	`conf`	Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis. ACL (1) Junzhuo Li, Bo Wang, Xiuze Zhou, Peijie Jiang, Jia Liu, Xuming Hu
2025	J	`jnl`	Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis. CoRR Junzhuo Li, Bo Wang, Xiuze Zhou, Peijie Jiang, Jia Liu, Xuming Hu
2025	J	`jnl`	DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference. CoRR Xiang Liu, Xuming Hu, Xiaowen Chu, Eunsol Choi
2025	—	`conf`	DiscoverGPT: Multi-task Fine-tuning Large Language Model for Related Table Discovery. NAACL (Findings) Xuming Hu, Xiao Qin, Chuan Lei, Asterios Katsifodimos, Zhengyuan Shen, Balasubramaniam Srinivasan, Huzefa Rangwala
2025	—	`conf`	Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs? EMNLP (Findings) Junyan Zhang, Yiming Huang, Shuliang Liu, Yubo Gao, Xuming Hu
2025	J	`jnl`	Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs? CoRR Junyan Zhang, Yiming Huang, Shuliang Liu, Yubo Gao, Xuming Hu
2025	J	`jnl`	DocPruner: A Storage-Efficient Framework for Multi-Vector Visual Document Retrieval via Adaptive Patch-Level Embedding Pruning. CoRR Yibo Yan, Guangwei Xu, Xin Zou, Shuliang Liu, James Kwok, Xuming Hu
2025	J	`jnl`	Don't Just Chase "Highlighted Tokens" in MLLMs: Revisiting Visual Holistic Context Retention. CoRR Xin Zou, Di Lu, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Xu Zheng, Linfeng Zhang, Xuming Hu
2025	A*	`conf`	Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE Adaptation. EMNLP Junzhuo Li, Bo Wang, Xiuze Zhou, Xuming Hu
2025	J	`jnl`	Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE Adaptation. CoRR Junzhuo Li, Bo Wang, Xiuze Zhou, Xuming Hu
2025	J	`jnl`	EffiReason-Bench: A Unified Benchmark for Evaluating and Advancing Efficient Reasoning in Large Language Models. CoRR Junquan Huang, Haotian Wu, Yubo Gao, Yibo Yan, Junyan Zhang, Yonghua Hei, Song Dai, Jie Zhang, Puay Siew Tan, Xuming Hu
2025	—	`conf`	EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models. ACL (Findings) Jiamin Su, Yibo Yan, Fangteng Fu, Zhang Han, Jingheng Ye, Xiang Liu, Jiahao Huo, Huiyu Zhou, Xuming Hu
2025	J	`jnl`	EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models. CoRR Jiamin Su, Yibo Yan, Fangteng Fu, Han Zhang, Jingheng Ye, Xiang Liu, Jiahao Huo, Huiyu Zhou, Xuming Hu
2025	A*	`conf`	Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios. EMNLP Yunkai Dang, Mengxi Gao, Yibo Yan, Xin Zou, Yanggan Gu, Jungang Li, Jingyu Wang, Peijie Jiang, Aiwei Liu, Jia Liu, Xuming Hu
2025	J	`jnl`	FlowKV: Enhancing Multi-Turn Conversational Coherence in LLMs via Isolated Key-Value Cache Management. CoRR Xiang Liu, Hong Chen, Xuming Hu, Xiaowen Chu
2025	A*	`conf`	From Guesswork to Guarantee: Towards Faithful Multimedia Web Forecasting with TimeSieve. ACM Multimedia Songning Lai, Ninghui Feng, Jiechao Gao, Hao Wang, Haochen Sui, Xin Zou, Jiayu Yang, Wenshuo Chen, Lijie Hu, Hang Zhao, Xuming Hu, Yutao Yue
2025	J	`jnl`	GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning. CoRR Jianghangfan Zhang, Yibo Yan, Kening Zheng, Xin Zou, Song Dai, Xuming Hu
2025	A*	`conf`	Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers. ICLR Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang
2025	J	`jnl`	HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge. CoRR Sirui Huang, Hanqian Li, Yanggan Gu, Xuming Hu, Qing Li, Guandong Xu
2025	A*	`conf`	ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models. CVPR Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Linfeng Zhang, Lijie Wen, Xuming Hu
2025	J	`jnl`	Instruction Boundary: Quantifying Biases in LLM Reasoning under Various Coverage. CoRR Zipeng Ling, Yuehao Tang, Chen Huang, Shuliang Liu, Gaoyang Jiang, Shenghong Fu, Junqi Yang, Yao Wan, Jiawan Zhang, Kejia Huang, Xuming Hu
2025	A*	`conf`	Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs. EMNLP Zhipeng Yang, Junzhuo Li, Siyu Xia, Xuming Hu
2025	J	`jnl`	Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs. CoRR Zhipeng Yang, Junzhuo Li, Siyu Xia, Xuming Hu
2025	J	`jnl`	KnowMT-Bench: Benchmarking Knowledge-Intensive Long-Form Question Answering in Multi-Turn Dialogues. CoRR Junhao Chen, Yu Huang, Siyuan Li, Rui Yao, Hanqian Li, Hanyu Zhang, Jungang Li, Jian Chen, Bowen Wang, Xuming Hu
2025	—	`conf`	LLM Agents for Education: Advances and Applications. EMNLP (Findings) Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jingheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen
2025	J	`jnl`	LLM Agents for Education: Advances and Applications. CoRR Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jinheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen
2025	J	`jnl`	LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching. CoRR Feihong Yan, Qingyan Wei, Jiayi Tang, Jiajun Li, Yulin Wang, Xuming Hu, Huiqi Li, Linfeng Zhang
2025	J	`jnl`	LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning. CoRR Junyu Chen, Junzhuo Li, Zhen Peng, Wenjie Wang, Yuxiang Ren, Long Shi, Xuming Hu
2025	A*	`conf`	Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models. ICML Xin Zou, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Kening Zheng, Sirui Huang, Junkai Chen, Peijie Jiang, Jia Liu, Chang Tang, Xuming Hu
2025	J	`jnl`	MLLMs are Deeply Affected by Modality Bias. CoRR Xu Zheng, Chenfei Liao, Yuqian Fu, Kaiyu Lei, Yuanhuiyi Lyu, Lutao Jiang, Bin Ren, Jialei Chen, Jiawen Wang, Chengxin Li, Linfeng Zhang, Danda Pani Paudel, Xuanjing Huang, Yu-Gang Jiang, Nicu Sebe, Dacheng Tao, Luc Van Gool, Xuming Hu
2025	—	`conf`	MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models. ACL (Findings) Jiahao Huo, Yibo Yan, Xu Zheng, Yuanhuiyi Lyu, Xin Zou, Zhihua Wei, Xuming Hu
2025	J	`jnl`	MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models. CoRR Jiahao Huo, Yibo Yan, Xu Zheng, Yuanhuiyi Lyu, Xin Zou, Zhihua Wei, Xuming Hu
2025	J	`jnl`	MOSS-ChatV: Reinforcement Learning with Process Reasoning Reward for Video Temporal Reasoning. CoRR Sicheng Tao, Jungang Li, Yibo Yan, Junyan Zhang, Yubo Gao, Hanqian Li, Shuhang Xun, Yuxuan Fan, Hong Chen, Jianxiang He, Xuming Hu
2025	J	`jnl`	Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking. CoRR Yijie Xu, Aiwei Liu, Xuming Hu, Lijie Wen, Hui Xiong
2025	J	`jnl`	MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models. CoRR Leyi Pan, Sheng Guan, Zheyu Fu, Luyang Si, Zian Wang, Xuming Hu, Irwin King, Philip S. Yu, Aiwei Liu, Lijie Wen
2025	—	`conf`	MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection. ACL (6) Yibo Yan, Shen Wang, Jiahao Huo, Philip S. Yu, Xuming Hu, Qingsong Wen
2025	J	`jnl`	MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection. CoRR Yibo Yan, Shen Wang, Jiahao Huo, Philip S. Yu, Xuming Hu, Qingsong Wen
2025	J	`jnl`	MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation. CoRR Chenfei Liao, Xu Zheng, Yuanhuiyi Lyu, Haiwei Xue, Yihong Cao, Jiawen Wang, Kailun Yang, Xuming Hu
2025	A*	`conf`	Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality. ICLR Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu
2025	Misc	`conf`	Multi-view Hypergraph-based Contrastive Learning Model for Cold-Start Micro-video Recommendation. ICASSP Sisuo Lyu, Xiuze Zhou, Xuming Hu
2025	J	`jnl`	Multimodal Spatial Reasoning in the Large Model Era: A Survey and Benchmarks. CoRR Xu Zheng, Zihao Dongfang, Lutao Jiang, Boyuan Zheng, Yulong Guo, Zhenquan Zhang, Giuliano Albanese, Runyi Yang, Mengjiao Ma, Zixin Zhang, Chenfei Liao, Dingcheng Zhen, Yuanhuiyi Lyu, Yuqian Fu, Bin Ren, Linfeng Zhang, Danda Pani Paudel, Nicu Sebe, Luc Van Gool, Xuming Hu
2025	J	`jnl`	OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination. CoRR Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Chao Sun, Rongzhou Zhang, Guanyu Zhou, Lijie Wen, Xuming Hu
2025	J	`jnl`	OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation. CoRR Ding Zhong, Xu Zheng, Chenfei Liao, Yuanhuiyi Lyu, Jialei Chen, Shengyang Wu, Linfeng Zhang, Xuming Hu
2025	A*	`conf`	OneForecast: A Universal Framework for Global and Regional Weather Forecasting. ICML Yuan Gao, Hao Wu, Ruiqi Shu, Huanshuo Dong, Fan Xu, Rui Ray Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Qing Li, Hui Xiong, Xiaomeng Huang
2025	J	`jnl`	OneForecast: A Universal Framework for Global and Regional Weather Forecasting. CoRR 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
2025	J	`jnl`	PANORAMA: The Rise of Omnidirectional Vision in the Embodied AI Era. CoRR Xu Zheng, Chenfei Liao, Ziqiao Weng, Kaiyu Lei, Zihao Dongfang, Haocong He, Yuanhuiyi Lyu, Lutao Jiang, Lu Qi, Li Chen, Danda Pani Paudel, Kailun Yang, Linfeng Zhang, Luc Van Gool, Xuming Hu
2025	J	`jnl`	PMark: Towards Robust and Distortion-free Semantic-level Watermarking with Channel Constraints. CoRR Jiahao Huo, Shuliang Liu, Bin Wang, Junyan Zhang, Yibo Yan, Aiwei Liu, Xuming Hu, Mingxun Zhou
2025	—	`conf`	PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions. EMNLP (Findings) Song Dai, Yibo Yan, Jiamin Su, Dongfang Zihao, Yubo Gao, Yonghua Hei, Jungang Li, Junyan Zhang, Sicheng Tao, Zhuoran Gao, Xuming Hu
2025	J	`jnl`	PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions. CoRR Song Dai, Yibo Yan, Jiamin Su, Dongfang Zihao, Yubo Gao, Yonghua Hei, Jungang Li, Junyan Zhang, Sicheng Tao, Zhuoran Gao, Xuming Hu
2025	A*	`conf`	Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis. EMNLP Haoming Huang, Yibo Yan, Jiahao Huo, Xin Zou, Xinfeng Li, Kun Wang, Xuming Hu
2025	J	`jnl`	Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis. CoRR Haoming Huang, Yibo Yan, Jiahao Huo, Xin Zou, Xinfeng Li, Kun Wang, Xuming Hu
2025	—	`conf`	PolyJoin: Semantic Multi-key Joinable Table Search in Data Lakes. NAACL (Findings) Xuming Hu, Chuan Lei, Xiao Qin, Asterios Katsifodimos, Christos Faloutsos, Huzefa Rangwala
2025	J	`jnl`	Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning. CoRR Yibo Yan, Shen Wang, Jiahao Huo, Jingheng Ye, Zhendong Chu, Xuming Hu, Philip S. Yu, Carla P. Gomes, Bart Selman, Qingsong Wen
2025	J	`jnl`	RTV-Bench: Benchmarking MLLM Continuous Perception, Understanding and Reasoning through Real-Time Video. CoRR 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
2025	J	`jnl`	RePPL: Recalibrating Perplexity by Uncertainty in Semantic Propagation and Language Generation for Explainable QA Hallucination Detection. CoRR Yiming Huang, Junyan Zhang, Zihao Wang, Biquan Bie, Xuming Hu, Yi R. (May) Fung, Xinlei He
2025	A*	`conf`	RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning. ICML Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang, Yibo Yan, Xin Zou, Huiyu Zhou, Linfeng Zhang, Xuming Hu
2025	J	`jnl`	RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning. CoRR Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang, Yibo Yan, Xin Zou, Huiyu Zhou, Linfeng Zhang, Xuming Hu
2025	J	`jnl`	Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization. CoRR Xu Zheng, Yuanhuiyi Lyu, Lutao Jiang, Danda Pani Paudel, Luc Van Gool, Xuming Hu
2025	—	`conf`	Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models. ACL (Findings) Kening Zheng, Junkai Chen, Yibo Yan, Xin Zou, Huiyu Zhou, Xuming Hu
2025	J	`jnl`	Rethinking LLM Evaluation: Can We Evaluate LLMs with 200x Less Data? CoRR 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
2025	—	`conf`	Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction. ACL (6) Yinghui Li, Shang Qin, Jingheng Ye, Haojing Huang, Yangning Li, Shu-Yu Guo, Libo Qin, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu
2025	J	`jnl`	Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook. CoRR Xu Zheng, Ziqiao Weng, Yuanhuiyi Lyu, Lutao Jiang, Haiwei Xue, Bin Ren, Danda Pani Paudel, Nicu Sebe, Luc Van Gool, Xuming Hu
2025	J	`jnl`	SSR: Speculative Parallel Scaling Reasoning in Test-time. CoRR Yuanlin Chu, Bo Wang, Xiang Liu, Hong Chen, Aiwei Liu, Xuming Hu
2025	J	`jnl`	SaFeR-VLM: Toward Safety-aware Fine-grained Reasoning in Multimodal Models. CoRR Huahui Yi, Kun Wang, Qiankun Li, Miao Yu, Liang Lin, Gongli Xi, Hao Wu, Xuming Hu, Kang Li, Yang Liu
2025	—	`conf`	SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning. ACL (Findings) Junkai Chen, Zhijie Deng, Kening Zheng, Yibo Yan, Shuliang Liu, PeiJun Wu, Peijie Jiang, Jia Liu, Xuming Hu
2025	J	`jnl`	SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning. CoRR Junkai Chen, Zhijie Deng, Kening Zheng, Yibo Yan, Shuliang Liu, PeiJun Wu, Peijie Jiang, Jia Liu, Xuming Hu
2025	J	`jnl`	Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning. CoRR Jialong Qin, Xin Zou, Di Lu, Yibo Yan, Xuming Hu
2025	J	`jnl`	Shifting AI Efficiency From Model-Centric to Data-Centric Compression. CoRR Xuyang Liu, Zichen Wen, Shaobo Wang, Junjie Chen, Zhishan Tao, Yubo Wang, Xiangqi Jin, Chang Zou, Yiyu Wang, Chenfei Liao, Xu Zheng, Honggang Chen, Weijia Li, Xuming Hu, Conghui He, Linfeng Zhang
2025	—	`conf`	StructFact: Reasoning Factual Knowledge from Structured Data with Large Language Models. ACL (Findings) Sirui Huang, Yanggan Gu, Zhonghao Li, Xuming Hu, Qing Li, Guandong Xu
2025	J	`jnl`	Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free. CoRR Evelyn Zhang, Bang Xiao, Jiayi Tang, Qianli Ma, Chang Zou, Xuefei Ning, Xuming Hu, Linfeng Zhang
2025	J	`jnl`	TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question Answering. CoRR Zhonghao Li, Kunpeng Zhang, Jinghuai Ou, Shuliang Liu, Xuming Hu
2025	—	`conf`	UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models. ACL (1) Boyang Xue, Fei Mi, Qi Zhu, Hongru Wang, Rui Wang, Sheng Wang, Erxin Yu, Xuming Hu, Kam-Fai Wong
2025	J	`jnl`	UltraEdit: Training-, Subject-, and Memory-Free Lifelong Editing in Large Language Models. CoRR Xiaojie Gu, Guangxu Chen, Jungang Li, Jia-Chen Gu, Xuming Hu, Kai Zhang
2025	A*	`conf`	UltraWiki: Ultra-Fine-Grained Entity Set Expansion with Negative Seed Entities. ICDE Yangning Li, Qingsong Lv, Tianyu Yu, Yinghui Li, Xuming Hu, Wenhao Jiang, Haitao Zheng, Hui Wang
2025	J	`jnl`	Understanding Dynamic Diffusion Process of LLM-based Agents under Information Asymmetry. CoRR Yiwen Zhang, Yifu Wu, Wenyue Hua, Xuming Hu
2025	J	`jnl`	Understanding-in-Generation: Reinforcing Generative Capability of Unified Model via Infusing Understanding into Generation. CoRR Yuanhuiyi Lyu, Chi Kit Wong, Chenfei Liao, Lutao Jiang, Xu Zheng, Zexin Lu, Linfeng Zhang, Xuming Hu
2025	—	`conf`	Unlocking Speech Instruction Data Potential with Query Rewriting. ACL (Findings) Yonghua Hei, Yibo Yan, Shuliang Liu, Huiyu Zhou, Linfeng Zhang, Xuming Hu
2025	J	`jnl`	Unlocking Speech Instruction Data Potential with Query Rewriting. CoRR Yonghua Hei, Yibo Yan, Shuliang Liu, Huiyu Zhou, Linfeng Zhang, Xuming Hu
2025	J	`jnl`	Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities. CoRR Junyan Zhang, Yubo Gao, Yibo Yan, Jungang Li, Zhaorui Hou, Sicheng Tao, Shuliang Liu, Song Dai, Yonghua Hei, Junzhuo Li, Xuming Hu
2025	J	`jnl`	VLA-Mark: A cross modal watermark for large vision-language alignment model. CoRR Shuliang Liu, Qi Zheng, Jesse Jiaxi Xu, Yibo Yan, He Geng, Aiwei Liu, Peijie Jiang, Jia Liu, Yik-Cheung Tam, Xuming Hu
2025	A*	`conf`	VLA-Mark: A cross modal watermark for large vision-language alignment models. EMNLP Shuliang Liu, Zheng Qi, Jesse Jiaxi Xu, Yibo Yan, Junyan Zhang, He Geng, Aiwei Liu, Peijie Jiang, Jia Liu, Yik-Cheung Tam, Xuming Hu
2025	J	`jnl`	Video Signature: In-generation Watermarking for Latent Video Diffusion Models. CoRR Yu Huang, Junhao Chen, Qi Zheng, Hanqian Li, Shuliang Liu, Xuming Hu
2025	J	`jnl`	VideoCompressa: Data-Efficient Video Understanding via Joint Temporal Compression and Spatial Reconstruction. CoRR Shaobo Wang, Tianle Niu, Runkang Yang, Deshan Liu, Xu He, Zichen Wen, Conghui He, Xuming Hu, Linfeng Zhang
2025	J	`jnl`	VideoMark: A Distortion-Free Robust Watermarking Framework for Video Diffusion Models. CoRR Xuming Hu, Hanqian Li, Jungang Li, Aiwei Liu
2025	J	`jnl`	WakenLLM: Evaluating Reasoning Potential and Stability in LLMs via Fine-Grained Benchmarking. CoRR Zipeng Ling, Yuehao Tang, Shuliang Liu, Junqi Yang, Shenghong Fu, Chen Huang, Kejia Huang, Yao Wan, Zhichao Hou, Xuming Hu
2025	J	`jnl`	WaterVG: Waterway Visual Grounding Based on Text-Guided Vision and mmWave Radar. IEEE Trans. Intell. Transp. Syst. 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
2025	J	`jnl`	You only need 4 extra tokens: Synergistic Test-time Adaptation for LLMs. CoRR Yijie Xu, Huizai Yao, Zhiyu Guo, Weiyu Guo, Pengteng Li, Aiwei Liu, Xuming Hu, Hui Xiong
2024	A*	`conf`	A Semantic Invariant Robust Watermark for Large Language Models. ICLR Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen
2024	J	`jnl`	A Survey of AIOps for Failure Management in the Era of Large Language Models. CoRR Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li
2024	J	`jnl`	A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges. CoRR Yibo Yan, Jiamin Su, Jianxiang He, Fangteng Fu, Xu Zheng, Yuanhuiyi Lyu, Kun Wang, Shen Wang, Qingsong Wen, Xuming Hu
2024	J	`jnl`	Accelerating Diffusion Transformers with Dual Feature Caching. CoRR Chang Zou, Evelyn Zhang, Runlin Guo, Haohang Xu, Conghui He, Xuming Hu, Linfeng Zhang
2024	A*	`conf`	An Unforgeable Publicly Verifiable Watermark for Large Language Models. ICLR Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu
2024	J	`jnl`	Can Watermarked LLMs be Identified by Users via Crafted Prompts? CoRR Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu
2024	J	`jnl`	DRUPI: Dataset Reduction Using Privileged Information. CoRR Shaobo Wang, Yantai Yang, Shuaiyu Zhang, Chenghao Sun, Weiya Li, Xuming Hu, Linfeng Zhang
2024	J	`jnl`	ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. CoRR 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
2024	—	`conf`	Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions. ACL (Findings) Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo
2024	J	`jnl`	Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions. CoRR Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo
2024	J	`jnl`	Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey. CoRR 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
2024	J	`jnl`	Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios. CoRR Yunkai Dang, Mengxi Gao, Yibo Yan, Xin Zou, Yanggan Gu, Aiwei Liu, Xuming Hu
2024	J	`jnl`	Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models. CoRR Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang
2024	J	`jnl`	Graph Neural Network with curriculum learning for imbalanced node classification. Neurocomputing Xiaohe Li, Zide Fan, Feilong Huang, Xuming Hu, Yawen Deng, Lei Wang, Xinyu Zhao
2024	J	`jnl`	ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models. CoRR Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Linfeng Zhang, Lijie Wen, Xuming Hu
2024	J	`jnl`	Interpretable Contrastive Monte Carlo Tree Search Reasoning. CoRR Zitian Gao, Boye Niu, Xuzheng He, Haotian Xu, Hongzhang Liu, Aiwei Liu, Xuming Hu, Lijie Wen
2024	—	`conf`	LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments. ACL (1) Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen
2024	J	`jnl`	LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments. CoRR Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen
2024	J	`jnl`	LLaSA: Large Language and E-Commerce Shopping Assistant. CoRR Shuo Zhang, Boci Peng, Xinping Zhao, Boren Hu, Yun Zhu, Yanjia Zeng, Xuming Hu
2024	J	`jnl`	Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation. CoRR Xu Zheng, Haiwei Xue, Jialei Chen, Yibo Yan, Lutao Jiang, Yuanhuiyi Lyu, Kailun Yang, Linfeng Zhang, Xuming Hu
2024	—	`conf`	LongGenBench: Long-context Generation Benchmark. EMNLP (Findings) Xiang Liu, Peijie Dong, Xuming Hu, Xiaowen Chu
2024	J	`jnl`	LongGenBench: Long-context Generation Benchmark. CoRR Xiang Liu, Peijie Dong, Xuming Hu, Xiaowen Chu
2024	J	`jnl`	Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models. CoRR Xin Zou, Yizhou Wang, Yibo Yan, Sirui Huang, Kening Zheng, Junkai Chen, Chang Tang, Xuming Hu
2024	J	`jnl`	MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection. CoRR Xu Zheng, Yuanhuiyi Lyu, Lutao Jiang, Jiazhou Zhou, Lin Wang, Xuming Hu
2024	J	`jnl`	MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models. CoRR Kaichen Huang, Jiahao Huo, Yibo Yan, Kun Wang, Yutao Yue, Xuming Hu
2024	A*	`conf`	MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model. EMNLP Jiahao Huo, Yibo Yan, Boren Hu, Yutao Yue, Xuming Hu
2024	J	`jnl`	MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model. CoRR Jiahao Huo, Yibo Yan, Boren Hu, Yutao Yue, Xuming Hu
2024	—	`conf`	MarkLLM: An Open-Source Toolkit for LLM Watermarking. EMNLP (System Demonstrations) Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu
2024	J	`jnl`	MarkLLM: An Open-Source Toolkit for LLM Watermarking. CoRR Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King
2024	—	`conf`	Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models. NAACL-HLT Weize Liu, Guocong Li, Kai Zhang, Bang Du, Qiyuan Chen, Xuming Hu, Hongxia Xu, Jintai Chen, Jian Wu
2024	J	`jnl`	Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality. CoRR Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu
2024	J	`jnl`	Multi-view Hypergraph-based Contrastive Learning Model for Cold-Start Micro-video Recommendation. CoRR Sisuo Lyu, Xiuze Zhou, Xuming Hu
2024	J	`jnl`	NeuGPT: Unified multi-modal Neural GPT. CoRR Yiqian Yang, Yiqun Duan, Hyejeong Jo, Qiang Zhang, Renjing Xu, Oiwi Parker Jones, Xuming Hu, Chin-Teng Lin, Hui Xiong
2024	—	`conf`	On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations. ACL (Findings) Shiao Meng, Xuming Hu, Aiwei Liu, Fukun Ma, Yawen Yang, Shuang Li, Lijie Wen
2024	J	`jnl`	On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations. CoRR Shiao Meng, Xuming Hu, Aiwei Liu, Fukun Ma, Yawen Yang, Shuang Li, Lijie Wen
2024	A*	`conf`	Preventing and Detecting Misinformation Generated by Large Language Models. SIGIR Aiwei Liu, Qiang Sheng, Xuming Hu
2024	J	`jnl`	Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions. IEEE Trans. Knowl. Data Eng. Xuming Hu, Zhaochen Hong, Chenwei Zhang, Aiwei Liu, Shiao Meng, Lijie Wen, Irwin King, Philip S. Yu
2024	J	`jnl`	Reasoning Factual Knowledge in Structured Data with Large Language Models. CoRR Sirui Huang, Yanggan Gu, Xuming Hu, Zhonghao Li, Qing Li, Guandong Xu
2024	J	`jnl`	Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models. CoRR Kening Zheng, Junkai Chen, Yibo Yan, Xin Zou, Xuming Hu
2024	J	`jnl`	Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities. CoRR Zhonghao Li, Xuming Hu, Aiwei Liu, Kening Zheng, Sirui Huang, Hui Xiong
2024	—	`conf`	Refiner: Restructure Retrieved Content Efficiently to Advance Question-Answering Capabilities. EMNLP (Findings) Zhonghao Li, Xuming Hu, Aiwei Liu, Kening Zheng, Sirui Huang, Hui Xiong
2024	J	`jnl`	Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction. CoRR Yinghui Li, Shang Qin, Jingheng Ye, Shirong Ma, Yangning Li, Libo Qin, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu
2024	J	`jnl`	Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability. CoRR Xiangsen Chen, Xuming Hu, Nan Tang
2024	A*	`conf`	Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network. AAAI Xuming Hu, Zhaochen Hong, Yong Jiang, Zhichao Lin, Xiaobin Wang, Pengjun Xie, Philip S. Yu
2024	A*	`conf`	Towards Understanding Factual Knowledge of Large Language Models. ICLR Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo
2024	J	`jnl`	UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models. CoRR Boyang Xue, Fei Mi, Qi Zhu, Hongru Wang, Rui Wang, Sheng Wang, Erxin Yu, Xuming Hu, Kam-Fai Wong
2024	J	`jnl`	UltraWiki: Ultra-fine-grained Entity Set Expansion with Negative Seed Entities. CoRR Yangning Li, Qingsong Lv, Tianyu Yu, Yinghui Li, Shulin Huang, Tingwei Lu, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Hui Wang
2024	A*	`conf`	Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications. EMNLP Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu
2024	J	`jnl`	Unraveling Babel: Exploring Multilingual Activation Patterns within Large Language Models. CoRR Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu
2024	J	`jnl`	WaterVG: Waterway Visual Grounding based on Text-Guided Vision and mmWave Radar. CoRR 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
2024	J	`jnl`	When LLMs Meet Cunning Questions: A Fallacy Understanding Benchmark for Large Language Models. CoRR Yinghui Li, Qingyu Zhou, Yuanzhen Luo, Shirong Ma, Yangning Li, Hai-Tao Zheng, Xuming Hu, Philip S. Yu
2024	A*	`conf`	When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models. NeurIPS Yinghui Li, Qingyu Zhou, Yuanzhen Luo, Shirong Ma, Yangning Li, Hai-Tao Zheng, Xuming Hu, Philip S. Yu
2023	J	`jnl`	A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. IEEE ACM Trans. Audio Speech Lang. Process. Shu'ang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu
2023	J	`jnl`	A Private Watermark for Large Language Models. CoRR Aiwei Liu, Leyi Pan, Xuming Hu, Shu'ang Li, Lijie Wen, Irwin King, Philip S. Yu
2023	J	`jnl`	A Semantic Invariant Robust Watermark for Large Language Models. CoRR Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen
2023	J	`jnl`	A Survey of Text Watermarking in the Era of Large Language Models. CoRR Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu
2023	J	`jnl`	A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability. CoRR Aiwei Liu, Xuming Hu, Lijie Wen, Philip S. Yu
2023	—	`conf`	AMR-based Network for Aspect-based Sentiment Analysis. ACL (1) Fukun Ma, Xuming Hu, Aiwei Liu, Yawen Yang, Shuang Li, Philip S. Yu, Lijie Wen
2023	—	`conf`	Automatic Table Union Search with Tabular Representation Learning. ACL (Findings) Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu
2023	J	`jnl`	Do Large Language Models Know about Facts? CoRR Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo
2023	—	`conf`	Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer. ACL (Findings) Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen
2023	J	`jnl`	Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer. CoRR Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen
2023	—	`conf`	Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks. ACL (Findings) Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu
2023	—	`conf`	Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing. ACL (Findings) Aiwei Liu, Wei Liu, Xuming Hu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen
2023	J	`jnl`	Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing. CoRR Aiwei Liu, Wei Liu, Xuming Hu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen
2023	—	`conf`	GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. ACL (Findings) Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu
2023	J	`jnl`	GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. CoRR Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu
2023	Misc	`conf`	Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition. ICASSP Yawen Yang, Xuming Hu, Fukun Ma, Shu'ang Li, Aiwei Liu, Lijie Wen, Philip S. Yu
2023	J	`jnl`	Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition. CoRR Yawen Yang, Xuming Hu, Fukun Ma, Shu'ang Li, Aiwei Liu, Lijie Wen, Philip S. Yu
2023	J	`jnl`	Give Me More Details: Improving Fact-Checking with Latent Retrieval. CoRR Xuming Hu, Zhijiang Guo, Guanyu Wu, Lijie Wen, Philip S. Yu
2023	A*	`conf`	Graph Component Contrastive Learning for Concept Relatedness Estimation. AAAI Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King
2023	A*	`conf`	MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media. SIGIR Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu
2023	J	`jnl`	Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models. CoRR Weize Liu, Guocong Li, Kai Zhang, Bang Du, Qiyuan Chen, Xuming Hu, Hongxia Xu, Jintai Chen, Jian Wu
2023	A*	`conf`	Multimodal Named Entity Recognition and Relation Extraction with Retrieval-Augmented Strategy. SIGIR Xuming Hu
2023	—	`conf`	Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. ACL (2) Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu
2023	J	`jnl`	Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. CoRR Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu
2023	A*	`conf`	Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction. ACM Multimedia Xuming Hu, Junzhe Chen, Aiwei Liu, Shiao Meng, Lijie Wen, Philip S. Yu
2023	J	`jnl`	Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction. CoRR Xuming Hu, Junzhe Chen, Aiwei Liu, Shiao Meng, Lijie Wen, Philip S. Yu
2023	A*	`conf`	RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction. EMNLP Shiao Meng, Xuming Hu, Aiwei Liu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen
2023	J	`jnl`	RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction. CoRR Shiao Meng, Xuming Hu, Aiwei Liu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen
2023	A*	`conf`	Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. SIGIR Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu
2023	J	`jnl`	Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. CoRR Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu
2023	A*	`conf`	SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction. SIGIR Xuming Hu, Junzhe Chen, Shiao Meng, Lijie Wen, Philip S. Yu
2023	J	`jnl`	Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR 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
2023	A*	`conf`	Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. SIGIR Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu
2023	J	`jnl`	Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. CoRR Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu
2023	J	`jnl`	Towards Natural Language Interfaces for Data Visualization: A Survey. IEEE Trans. Vis. Comput. Graph. Leixian Shen, Enya Shen, Yuyu Luo, Xiaocong Yang, Xuming Hu, Xiongshuai Zhang, Zhiwei Tai, Jianmin Wang
2022	J	`jnl`	A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. CoRR Shu'ang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu
2022	—	`conf`	CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking. NAACL-HLT Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu
2022	J	`jnl`	CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking. CoRR Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu
2022	A*	`conf`	Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. EMNLP Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen
2022	J	`jnl`	Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. CoRR Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen
2022	B	`conf`	Domain-Specific NER via Retrieving Correlated Samples. COLING Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang
2022	J	`jnl`	Domain-Specific NER via Retrieving Correlated Samples. CoRR Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang
2022	J	`jnl`	EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks. CoRR Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu
2022	J	`jnl`	Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction. CoRR Xuming Hu, Shiao Meng, Chenwei Zhang, Xiangli Yang, Lijie Wen, Irwin King, Philip S. Yu
2022	J	`jnl`	Graph Neural Network with Curriculum Learning for Imbalanced Node Classification. CoRR Xiaohe Li, Lijie Wen, Yawen Deng, Fuli Feng, Xuming Hu, Lei Wang, Zide Fan
2022	—	`conf`	HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction. NAACL-HLT Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu'ang Li, Lijie Wen, Philip S. Yu
2022	J	`jnl`	HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction. CoRR Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu'ang Li, Lijie Wen, Philip S. Yu
2022	J	`jnl`	Inferring Commonsense Explanations as Prompts for Future Event Generation. CoRR Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang
2022	J	`jnl`	MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs. IEEE Trans. Serv. Comput. Zan Zong, Lijie Wen, Xuming Hu, Rui Han, Chen Qian, Li Lin
2022	Misc	`conf`	Pair-Level Supervised Contrastive Learning for Natural Language Inference. ICASSP Shuang Li, Xuming Hu, Li Lin, Lijie Wen
2022	J	`jnl`	Pair-Level Supervised Contrastive Learning for Natural Language Inference. CoRR Shuang Li, Xuming Hu, Li Lin, Lijie Wen
2022	A*	`conf`	Query-based Instance Discrimination Network for Relational Triple Extraction. EMNLP Zeqi Tan, Yongliang Shen, Xuming Hu, Wenqi Zhang, Xiaoxia Cheng, Weiming Lu, Yueting Zhuang
2022	J	`jnl`	Query-based Instance Discrimination Network for Relational Triple Extraction. CoRR Zeqi Tan, Yongliang Shen, Xuming Hu, Wenqi Zhang, Xiaoxia Cheng, Weiming Lu, Yueting Zhuang
2022	B	`conf`	Scene Graph Modification as Incremental Structure Expanding. COLING Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu
2022	J	`jnl`	Scene Graph Modification as Incremental Structure Expanding. CoRR Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu
2022	A*	`conf`	Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. KDD Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen
2022	J	`jnl`	Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. CoRR Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen
2022	A*	`conf`	What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. SIGIR Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang
2021	—	`conf`	Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. EMNLP (1) Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu
2021	J	`jnl`	Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. CoRR Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu
2021	—	`conf`	Semi-supervised Relation Extraction via Incremental Meta Self-Training. EMNLP (Findings) Xuming Hu, Chenwei Zhang, Fukun Ma, Chenyao Liu, Lijie Wen, Philip S. Yu
2021	J	`jnl`	Towards Natural Language Interfaces for Data Visualization: A Survey. CoRR Leixian Shen, Enya Shen, Yuyu Luo, Xiaocong Yang, Xuming Hu, Xiongshuai Zhang, Zhiwei Tai, Jianmin Wang
2020	—	`conf`	SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. EMNLP (1) Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu
2020	J	`jnl`	SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. CoRR Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu
2020	J	`jnl`	Semi-supervised Relation Extraction via Incremental Meta Self-Training. CoRR Xuming Hu, Fukun Ma, Chenyao Liu, Chenwei Zhang, Lijie Wen, Philip S. Yu