Yu Zhao

According to our database, Yu Zhao authored at least 49 papers between 2017 and 2025.

Collaborative distances:

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

2025

Dark Side of Modalities: Reinforced Multimodal Distillation for Multimodal Knowledge Graph Reasoning.

Yu Zhao, Ying Zhang, Xuhui Sui, Baohang Zhou, Haoze Zhu, Jeff Z. Pan, Xiaojie Yuan

CoRR, July, 2025

Hyper-modal Imputation Diffusion Embedding with Dual-Distillation for Federated Multimodal Knowledge Graph Completion.

Ying Zhang, Yu Zhao, Xuhui Sui, Baohang Zhou, Xiangrui Cai, Li Shen, Xiaojie Yuan, Dacheng Tao

CoRR, June, 2025

MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly.

Zhaowei Wang, Wenhao Yu, Xiyu Ren, Jipeng Zhang, Yu Zhao, Rohit Saxena, Liang Cheng, Ginny Y. Wong, Simon See, Pasquale Minervini, Yangqiu Song, Mark Steedman

CoRR, May, 2025

Noiser: Bounded Input Perturbations for Attributing Large Language Models.

Mohammad Reza Ghasemi Madani, Aryo Pradipta Gema, Gabriele Sarti, Yu Zhao, Pasquale Minervini, Andrea Passerini

CoRR, April, 2025

Q-Filters: Leveraging QK Geometry for Efficient KV Cache Compression.

Nathan Godey, Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini, Éric de la Clergerie, Benoît Sagot

CoRR, March, 2025

ZS-MNET: A zero-shot learning based approach to multimodal named entity typing.

Baohang Zhou, Ying Zhang, Kehui Song, Xuhui Sui, Yu Zhao, Xiaojie Yuan

Neural Networks, 2025

ME3A: A Multimodal Entity Entailment framework for multimodal Entity Alignment.

Yu Zhao, Ying Zhang, Xuhui Sui, Xiangrui Cai

Inf. Process. Manag., 2025

Grammar induction from visual, speech and text.

Yu Zhao, Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua

Artif. Intell., 2025

Multimodal Graph-Based Variational Mixture of Experts Network for Zero-Shot Multimodal Information Extraction.

Baohang Zhou, Ying Zhang, Yu Zhao, Xuhui Sui, Xiaojie Yuan

Proceedings of the ACM on Web Conference 2025, 2025

Multimodal Knowledge Graph Error Detection with Disentanglement VAE and Multi-Grained Triplet Confidence.

Xuhui Sui, Ying Zhang, Yu Zhao, Baohang Zhou, Xiaojie Yuan

Proceedings of the ACM on Web Conference 2025, 2025

Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering.

Yu Zhao, Alessio Devoto, Giwon Hong, Xiaotang Du, Aryo Pradipta Gema, Hongru Wang, Xuanli He, Kam-Fai Wong, Pasquale Minervini

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Are We Done with MMLU?

Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong, Alessio Devoto, Alberto Carlo Maria Mancino, Rohit Saxena, Xuanli He, Yu Zhao, Xiaotang Du, Mohammad Reza Ghasemi Madani, Claire Barale, Robert McHardy, Joshua Harris, Jean Kaddour, Emile van Krieken, Pasquale Minervini

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Structured Packing in LLM Training Improves Long Context Utilization.

Konrad Staniszewski, Szymon Tworkowski, Sebastian Jaszczur, Yu Zhao, Henryk Michalewski, Lukasz Kucinski, Piotr Milos

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Retrieval-style In-context Learning for Few-shot Hierarchical Text Classification.

Huiyao Chen, Yu Zhao, Zulong Chen, Mengjia Wang, Liangyue Li, Meishan Zhang, Min Zhang

Trans. Assoc. Comput. Linguistics, 2024

Analysing the Residual Stream of Language Models Under Knowledge Conflicts.

Yu Zhao, Xiaotang Du, Giwon Hong, Aryo Pradipta Gema, Alessio Devoto, Hongru Wang, Xuanli He, Kam-Fai Wong, Pasquale Minervini

CoRR, 2024

A Simple and Effective L₂ Norm-Based Strategy for KV Cache Compression.

Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini

CoRR, 2024

A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning.

Xiaofeng Cong, Yu Zhao, Jie Gui, Junming Hou, Dacheng Tao

CoRR, 2024

The Hallucinations Leaderboard - An Open Effort to Measure Hallucinations in Large Language Models.

Giwon Hong, Aryo Pradipta Gema, Rohit Saxena, Xiaotang Du, Ping Nie, Yu Zhao, Laura Perez-Beltrachini, Max Ryabinin, Xuanli He, Clémentine Fourrier, Pasquale Minervini

CoRR, 2024

Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion.

Yu Zhao, Ying Zhang, Baohang Zhou, Xinying Qian, Kehui Song, Xiangrui Cai

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image.

Yu Zhao, Hao Fei, Xiangtai Li, Libo Qin, Jiayi Ji, Hongyuan Zhu, Meishan Zhang, Min Zhang, Jianguo Wei

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

The ACM Multimedia 2024 Viual Spatial Description Grand Challenge.

Yu Zhao, Hao Fei, Bobo Li, Meishan Zhang, Min Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SpeechEE: A Novel Benchmark for Speech Event Extraction.

Bin Wang, Meishan Zhang, Hao Fei, Yu Zhao, Bobo Li, Shengqiong Wu, Wei Ji, Min Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

XFashion: Character Animation Generation via Facial-enhanced and Granularly Controlling.

Yu Zhao, Bobo Li, Hao Fei

Proceedings of the 5th International Workshop on Human-centric Multimedia Analysis, 2024

TimeR⁴ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering.

Xinying Qian, Ying Zhang, Yu Zhao, Baohang Zhou, Xuhui Sui, Li Zhang, Kehui Song

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Simple and Effective L_2 Norm-Based Strategy for KV Cache Compression.

Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction.

Baohang Zhou, Ying Zhang, Kehui Song, Hongru Wang, Yu Zhao, Xuhui Sui, Xiaojie Yuan

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting.

Ying Zhang, Xinying Qian, Yu Zhao, Baohang Zhou, Kehui Song, Xiaojie Yuan

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Look before You Leap: Dual Logical Verification for Knowledge-based Visual Question Generation.

Xumeng Liu, Wenya Guo, Ying Zhang, Xubo Liu, Yu Zhao, Shenglong Yu, Xiaojie Yuan

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Analysing The Impact of Sequence Composition on Language Model Pre-Training.

Yu Zhao, Yuanbin Qu, Konrad Staniszewski, Szymon Tworkowski, Wei Liu, Piotr Milos, Yuxiang Wu, Pasquale Minervini

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

MELOV: Multimodal Entity Linking with Optimized Visual Features in Latent Space.

Xuhui Sui, Ying Zhang, Yu Zhao, Kehui Song, Baohang Zhou, Xiaojie Yuan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues.

Bobo Li, Hao Fei, Lizi Liao, Yu Zhao, Fangfang Su, Fei Li, Donghong Ji

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Non-parametric, Nearest-neighbor-assisted Fine-tuning for Neural Machine Translation.

Jiayi Wang, Ke Wang, Yuqi Zhang, Yu Zhao, Pontus Stenetorp

CoRR, 2023

Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling.

Yu Zhao, Hao Fei, Yixin Cao, Bobo Li, Meishan Zhang, Jianguo Wei, Min Zhang, Tat-Seng Chua

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition.

Bobo Li, Hao Fei, Lizi Liao, Yu Zhao, Chong Teng, Tat-Seng Chua, Donghong Ji, Fei Li

Proceedings of the 31st ACM International Conference on Multimedia, 2023

HITSZ TMG at ICASSP 2023 SPGC Shared Task: Leveraging Pre-Training and Distillation Method for Title Generation with Limited Resource.

Tianxiao Xu, Zihao Zheng, Xinshuo Hu, Zetian Sun, Yu Zhao, Baotian Hu

Proceedings of the IEEE International Conference on Acoustics, 2023

Incorporating Object-Level Visual Context for Multimodal Fine-Grained Entity Typing.

Ying Zhang, Wenbo Fan, Kehui Song, Yu Zhao, Xuhui Sui, Xiaojie Yuan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment.

Yu Zhao, Yike Wu, Xiangrui Cai, Ying Zhang, Haiwei Zhang, Xiaojie Yuan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Generating Visual Spatial Description via Holistic 3D Scene Understanding.

Yu Zhao, Hao Fei, Wei Ji, Jianguo Wei, Meishan Zhang, Min Zhang, Tat-Seng Chua

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Fake news detection via knowledgeable prompt learning.

Gongyao Jiang, Shuang Liu, Yu Zhao, Yueheng Sun, Meishan Zhang

Inf. Process. Manag., 2022

Medical Dialogue Response Generation with Pivotal Information Recalling.

Yu Zhao, Yunxin Li, Yuxiang Wu, Baotian Hu, Qingcai Chen, Xiaolong Wang, Yuxin Ding, Min Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation.

Yu Zhao, Jianguo Wei, Zhichao Lin, Yueheng Sun, Meishan Zhang, Min Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion.

Yu Zhao, Xiangrui Cai, Yike Wu, Haiwei Zhang, Ying Zhang, Guoqing Zhao, Ning Jiang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks.

Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances.

Yike Wu, Yu Zhao, Shiwan Zhao, Ying Zhang, Xiaojie Yuan, Guoqing Zhao, Ning Jiang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

DEAR: Dual-Level Self-attention GRU for Online Early Prediction of Sepsis.

Yu Zhao, Yike Wu, Mo Liu, Xiangrui Cai, Ying Zhang, Xiaojie Yuan

Proceedings of the Web Information Systems and Applications, 2022

2021

GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph.

Yunxin Li, Yu Zhao, Baotian Hu, Qingcai Chen, Yang Xiang, Xiaolong Wang, Yuxin Ding, Lin Ma

CoRR, 2021

MSDF: A General Open-Domain Multi-skill Dialog Framework.

Yu Zhao, Xinshuo Hu, Yunxin Li, Baotian Hu, Dongfang Li, Sichao Chen, Xiaolong Wang

Proceedings of the Natural Language Processing and Chinese Computing, 2021

2020

Dependency Parsing with Noisy Multi-annotation Data.

Yu Zhao, Mingyue Zhou, Zhenghua Li, Min Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 2020

2017

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.

Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017