Xiaoyan Zhao

According to our database, Xiaoyan Zhao authored at least 35 papers between 2020 and 2026.

Collaborative distances:

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

2026

Preference-Aware Rubric Learning for Personalized Evaluation.

Yilun Qiu, Xiaoyan Zhao, Yang Zhang, Yuxin Chen, Cilin Yan, Jiayin Cai, Xiaolong Jiang, Yao Hu, Yoko Yamakata, Tat-Seng Chua

CoRR, May, 2026

Know You Before You Speak: User-State Modeling for LLM Personalization in Multi-Turn Conversation.

Jiani Luo, Xiaoyan Zhao, Yang Zhang, Shuyi Miao, Bingbing Xu, Stefan Konigorski, Tat-Seng Chua

CoRR, May, 2026

Medical Reasoning with Large Language Models: A Survey and MR-Bench.

Xiaohan Ren, Chenxiao Fan, Wenyin Ma, Hongliang He, Chongming Gao, Xiaoyan Zhao, Fuli Feng

CoRR, April, 2026

Scale over Preference: The Impact of AI-Generated Content on Online Content Ecology.

Tianhao Shi, Yang Zhang, Xiaoyan Zhao, Fengbin Zhu, Chenyi Lei, Han Li, Wenwu Ou, Yang Song, Yongdong Zhang, Fuli Feng

CoRR, April, 2026

NextMem: Towards Latent Factual Memory for LLM-based Agents.

Zeyu Zhang, Rui Li, Xiaoyan Zhao, Yang Zhang, Wenjie Wang, Xu Chen, Tat-Seng Chua

CoRR, March, 2026

SODA: Semantic-Oriented Distributional Alignment for Generative Recommendation.

Ziqi Xue, Dingxian Wang, Yimeng Bai, Shuai Zhu, Jialei Li, Xiaoyan Zhao, Frank Yang, Andrew Rabinovich, Yang Zhang, Pablo N. Mendes

CoRR, March, 2026

UniGRec: Unified Generative Recommendation with Soft Identifiers for End-to-End Optimization.

Jialei Li, Yang Zhang, Yimeng Bai, Shuai Zhu, Ziqi Xue, Xiaoyan Zhao, Dingxian Wang, Frank Yang, Andrew Rabinovich, Xiangnan He

CoRR, January, 2026

ACE-Align: Attribute Causal Effect Alignment for Cultural Values under Varying Persona Granularities.

Jiatang Luo, Bingbing Xu, Rongxin Chen, Xiaoyan Zhao, Yang Zhang, Liang Pang, Zhiyong Huang, Tat-Seng Chua, Huawei Shen

CoRR, January, 2026

2025

Think-While-Generating: On-the-Fly Reasoning for Personalized Long-Form Generation.

Chengbing Wang, Yang Zhang, Wenjie Wang, Xiaoyan Zhao, Fuli Feng, Xiangnan He, Tat-Seng Chua

CoRR, December, 2025

CARL: Critical Action Focused Reinforcement Learning for Multi-Step Agent.

Leyang Shen, Yang Zhang, Chun Kai Ling, Xiaoyan Zhao, Tat-Seng Chua

CoRR, December, 2025

SteerX: Disentangled Steering for LLM Personalization.

Xiaoyan Zhao, Ming Yan, Yilun Qiu, Haoting Ni, Yang Zhang, Fuli Feng, Hong Cheng, Tat-Seng Chua

CoRR, October, 2025

Reinforced Strategy Optimization for Conversational Recommender Systems via Network-of-Experts.

Xiaoyan Zhao, Ming Yan, Yang Zhang, Yang Deng, Jian Wang, Fengbin Zhu, Yilun Qiu, Hong Cheng, Tat-Seng Chua

CoRR, September, 2025

DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation.

Chang Liu, Yimeng Bai, Xiaoyan Zhao, Yang Zhang, Fuli Feng, Wenge Rong

CoRR, June, 2025

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization.

Xiaoyan Zhao, Juntao You, Yang Zhang, Wenjie Wang, Hong Cheng, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

CoRR, June, 2025

Reinforced Latent Reasoning for LLM-based Recommendation.

Yang Zhang, Wenxin Xu, Xiaoyan Zhao, Wenjie Wang, Fuli Feng, Xiangnan He, Tat-Seng Chua

CoRR, May, 2025

Exploring the Impact of Personality Traits on Conversational Recommender Systems: A Simulation with Large Language Models.

Xiaoyan Zhao, Yang Deng, Wenjie Wang, Hongzhan Lin, Hong Cheng, Rui Zhang, See-Kiong Ng, Tat-Seng Chua

CoRR, April, 2025

Few-Shot Relation Extraction With Automatically Generated Prompts.

Xiaoyan Zhao, Min Yang, Qiang Qu, Ruifeng Xu

IEEE Trans. Neural Networks Learn. Syst., March, 2025

IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation.

Zijie Lin, Yang Zhang, Xiaoyan Zhao, Fengbin Zhu, Fuli Feng, Tat-Seng Chua

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

PEARL: Towards Permutation-Resilient LLMs.

Liang Chen, Li Shen, Yang Deng, Xiaoyan Zhao, Bin Liang, Kam-Fai Wong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Latent Inter-User Difference Modeling for LLM Personalization.

Yilun Qiu, Tianhao Shi, Xiaoyan Zhao, Fengbin Zhu, Yang Zhang, Fuli Feng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization.

Yilun Qiu, Xiaoyan Zhao, Yang Zhang, Yimeng Bai, Wenjie Wang, Hong Cheng, Fuli Feng, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers.

Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu

ACM Comput. Surv., November, 2024

Improving Semi-Supervised Text Classification with Dual Meta-Learning.

Shujie Li, Guanghu Yuan, Min Yang, Ying Shen, Chengming Li, Ruifeng Xu, Xiaoyan Zhao

ACM Trans. Inf. Syst., July, 2024

AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models.

Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi

IEEE Trans. Knowl. Data Eng., June, 2024

PMG : Personalized Multimodal Generation with Large Language Models.

Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu, Xi Xiao

Proceedings of the ACM on Web Conference 2024, 2024

IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators.

Luyang Lin, Lingzhi Wang, Xiaoyan Zhao, Jing Li, Kam-Fai Wong

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

PACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models.

Xiaoyan Zhao, Lingzhi Wang, Zhanghao Wang, Hong Cheng, Rui Zhang, Kam-Fai Wong

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

PITA: Prompting Task Interaction for Argumentation Mining.

Yang Sun, Muyi Wang, Jianzhu Bao, Bin Liang, Xiaoyan Zhao, Caihua Yang, Min Yang, Ruifeng Xu

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

2023

Exploring Privileged Features for Relation Extraction With Contrastive Student-Teacher Learning.

Xiaoyan Zhao, Min Yang, Qiang Qu, Ruifeng Xu, Jieke Li

IEEE Trans. Knowl. Data Eng., August, 2023

A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers.

Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu

CoRR, 2023

2022

TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs.

Rui Zhang, Xiaoyan Zhao, Bayu Distiawan Trisedya, Min Yang, Hong Cheng, Jianzhong Qi

CoRR, 2022

Enhancing Top-N Item Recommendations by Peer Collaboration.

Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Li Shen, Xiaoyan Zhao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Dependency-aware Prototype Learning for Few-shot Relation Classification.

Tianshu Yu, Min Yang, Xiaoyan Zhao

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

2021

Enhancing Top-N Item Recommendations by Peer Collaboration.

Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Shen Li, Xiaoyan Zhao

CoRR, 2021

2020

Improving Neural Chinese Word Segmentation with Lexicon-enhanced Adaptive Attention.

Xiaoyan Zhao, Min Yang, Qiang Qu, Yang Sun

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020