Jing Yao

According to our database, Jing Yao authored at least 53 papers between 2020 and 2026.

Collaborative distances:

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

2026

Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook.

Jaehyeok Lee, Xiaoyuan Yi, Jing Yao, Hyunjin Hwang, Roy Ka-Wei Lee, Xing Xie, JinYeong Bak

CoRR, April, 2026

Human Values Matter: Investigating How Misalignment Shapes Collective Behaviors in LLM Agent Communities.

Xiangxu Zhang, Jiamin Wang, Qinlin Zhao, Hanze Guo, Linzhuo Li, Jing Yao, Xiao Zhou, Xiaoyuan Yi, Xing Xie

CoRR, April, 2026

MMAC: A Multilingual, Multimodal Alignment Framework for Cultural Grounding Evaluation.

Weihua Zheng, Zhengyuan Liu, Tanmoy Chakraborty, Weiwen Xu, Xiaoxue Gao, Bryan Chen Zhengyu Tan, Bowei Zou, Chang Liu, Yujia Hu, Xing Xie, Xiaoyuan Yi, Jing Yao, Chaojun Wang, Long Li, Rui Liu, Huiyao Liu, Koji Inoue, Ryuichi Sumida, Tatsuya Kawahara, Fan Xu, Lingyu Ye, Wei Tian, Dongjun Kim, Jimin Jung, Jaehyung Seo, Nadya Yuki Wangsajaya, Pham Minh Duc, Ojasva Saxena, Palash Nandi, Xiyan Tao, Wiwik Karlina, Tuan Luong, Keertana Arun Vasan, Roy Ka-Wei Lee, Nancy F. Chen

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment.

Bryan Chen Zhengyu Tan, Zhengyuan Liu, Xiaoyuan Yi, Jing Yao, Xing Xie, Nancy F. Chen, Roy Ka-Wei Lee

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Influence-based Online Experience Selection for Effective RLHF.

Yifan Gong, Jing Yao, Xiting Wang, Xunlong Wang, Xiaoyuan Yi, Xing Xie

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions.

Yanxu Zhu, Shitong Duan, Xiangxu Zhang, Jitao Sang, Peng Zhang, Tun Lu, Xiao Zhou, Jing Yao, Xiaoyuan Yi, Xing Xie

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization.

Yuzhuo Bai, Shitong Duan, Muhua Huang, Jing Yao, Zhenghao Liu, Peng Zhang, Tun Lu, Xiaoyuan Yi, Maosong Sun, Xing Xie

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MMA-ASIA: A Multilingual and Multimodal Alignment Framework for Culturally-Grounded Evaluation.

Weihua Zheng, Zhengyuan Liu, Tanmoy Chakraborty, Weiwen Xu, Xiaoxue Gao, Bryan Chen Zhengyu Tan, Bowei Zou, Chang Liu, Yujia Hu, Xing Xie, Xiaoyuan Yi, Jing Yao, Chaojun Wang, Long Li, Rui Liu, Huiyao Liu, Koji Inoue, Ryuichi Sumida, Tatsuya Kawahara, Fan Xu, Lingyu Ye, Wei Tian, Dongjun Kim, Jimin Jung, Jaehyung Seo, Nadya Yuki Wangsajaya, Pham Minh Duc, Ojasva Saxena, Palash Nandi, Xiyan Tao, Wiwik Karlina, Tuan Luong, Keertana Arun Vasan, Roy Ka-Wei Lee, Nancy F. Chen

CoRR, October, 2025

Neural Recommendation Reasoning with Logic Rules.

Jing Yao, Xiting Wang, Jianxun Lian, Xiaoyuan Yi, Xing Xie

ACM Trans. Inf. Syst., September, 2025

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.

Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie

ACM Trans. Inf. Syst., July, 2025

AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference.

Shitong Duan, Xiaoyuan Yi, Peng Zhang, Dongkuan Xu, Jing Yao, Tun Lu, Ning Gu, Xing Xie

CoRR, May, 2025

CAReDiO: Cultural Alignment of LLM via Representativeness and Distinctiveness Guided Data Optimization.

Jing Yao, Xiaoyuan Yi, Jindong Wang, Zhicheng Dou, Xing Xie

CoRR, April, 2025

Research on Superalignment Should Advance Now with Parallel Optimization of Competence and Conformity.

HyunJin Kim, Xiaoyuan Yi, Jing Yao, Muhua Huang, JinYeong Bak, James Evans, Xing Xie

CoRR, March, 2025

Value Compass Leaderboard: A Platform for Fundamental and Validated Evaluation of LLMs Values.

Jing Yao, Xiaoyuan Yi, Shitong Duan, Jindong Wang, Yuzhuo Bai, Muhua Huang, Peng Zhang, Tun Lu, Zhicheng Dou, Maosong Sun, Xing Xie

CoRR, January, 2025

Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models.

Hanze Guo, Jing Yao, Xiao Zhou, Xiaoyuan Yi, Xing Xie

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

MoVa: Towards Generalizable Classification of Human Morals and Values.

Ziyu Chen, Junfei Sun, Chenxi Li, Tuan Dung Nguyen, Jing Yao, Xiaoyuan Yi, Xing Xie, Chenhao Tan, Lexing Xie

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

Towards Better Value Principles for Large Language Model Alignment: A Systematic Evaluation and Enhancement.

Bingbing Xu, Jing Yao, Xiaoyuan Yi, Aishan Maoliniyazi, Xing Xie, Xiaofeng Meng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights.

Sooyung Choi, Jaehyeok Lee, Xiaoyuan Yi, Jing Yao, Xing Xie, JinYeong Bak

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Value Compass Benchmarks: A Comprehensive, Generative and Self-Evolving Platform for LLMs' Value Evaluation.

Jing Yao, Xiaoyuan Yi, Shitong Duan, Jindong Wang, Yuzhuo Bai, Muhua Huang, Yang Ou, Scarlett Li, Peng Zhang, Tun Lu, Zhicheng Dou, Maosong Sun, James Evans, Xing Xie

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

2024

ROGER: Ranking-Oriented Generative Retrieval.

Yujia Zhou, Jing Yao, Zhicheng Dou, Yiteng Tu, Ledell Wu, Tat-Seng Chua, Ji-Rong Wen

ACM Trans. Inf. Syst., November, 2024

WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm.

Yujia Zhou, Jing Yao, Ledell Wu, Zhicheng Dou, Ji-Rong Wen

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

The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment.

HyunJin Kim, Xiaoyuan Yi, Jing Yao, Jianxun Lian, Muhua Huang, Shitong Duan, JinYeong Bak, Xing Xie

CoRR, 2024

Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignment.

Yan Liu, Xiaoyuan Yi, Xiaokang Chen, Jing Yao, Jingwei Yi, Daoguang Zan, Zheng Liu, Xing Xie, Tsung-Yi Ho

CoRR, 2024

Uncovering Safety Risks in Open-source LLMs through Concept Activation Vector.

Zhihao Xu, Ruixuan Huang, Xiting Wang, Fangzhao Wu, Jing Yao, Xing Xie

CoRR, 2024

RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems.

Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Aligning Language Models for Versatile Text-based Item Retrieval.

Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses.

Jing Yao, Xiaoyuan Yi, Xing Xie

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value.

Jing Yao, Xiaoyuan Yi, Yifan Gong, Xiting Wang, Xing Xie

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

RecExplainer: Aligning Large Language Models for Explaining Recommendation Models.

Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models.

Xinpeng Wang, Shitong Duan, Xiaoyuan Yi, Jing Yao, Shanlin Zhou, Zhihua Wei, Peng Zhang, Dongkuan Xu, Maosong Sun, Xing Xie

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection.

Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie, Ji-Rong Wen

ACM Trans. Intell. Syst. Technol., April, 2023

DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index.

Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen

Mach. Intell. Res., April, 2023

RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability.

Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie

CoRR, 2023

Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations.

Jing Yao, Wei Xu, Jianxun Lian, Xiting Wang, Xiaoyuan Yi, Xing Xie

CoRR, 2023

Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Values.

Jing Yao, Xiaoyuan Yi, Xiting Wang, Yifan Gong, Xing Xie

CoRR, 2023

Unpacking the Ethical Value Alignment in Big Models.

Xiaoyuan Yi, Jing Yao, Xiting Wang, Xing Xie

CoRR, 2023

From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models.

Jing Yao, Xiaoyuan Yi, Xiting Wang, Jindong Wang, Xing Xie

CoRR, 2023

Incorporating Explicit Subtopics in Personalized Search.

Shuting Wang, Zhicheng Dou, Jing Yao, Yujia Zhou, Ji-Rong Wen

Proceedings of the ACM Web Conference 2023, 2023

Towards Explainable Collaborative Filtering with Taste Clusters Learning.

Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie

Proceedings of the ACM Web Conference 2023, 2023

UA-FedRec: Untargeted Attack on Federated News Recommendation.

Jingwei Yi, Fangzhao Wu, Bin Zhu, Jing Yao, Zhulin Tao, Guangzhong Sun, Xing Xie

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Looking Back on the Past: Active Learning with Historical Evaluation Results : Extended Abstract.

Jing Yao, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval.

Peitian Zhang, Zheng Liu, Shitao Xiao, Zhicheng Dou, Jing Yao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Clarifying Ambiguous Keywords with Personal Word Embeddings for Personalized Search.

Jing Yao, Zhicheng Dou, Ji-Rong Wen

ACM Trans. Inf. Syst., 2022

Looking Back on the Past: Active Learning With Historical Evaluation Results.

Jing Yao, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen

IEEE Trans. Knowl. Data Eng., 2022

Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer.

Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Peitian Zhang, Ji-Rong Wen

CoRR, 2022

DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index.

Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen

CoRR, 2022

2021

RLPS: A Reinforcement Learning-Based Framework for Personalized Search.

Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen

ACM Trans. Inf. Syst., 2021

Learning to Select Historical News Articles for Interaction based Neural News Recommendation.

Peitian Zhang, Zhicheng Dou, Jing Yao

CoRR, 2021

FedPS: A Privacy Protection Enhanced Personalized Search Framework.

Jing Yao, Zhicheng Dou, Ji-Rong Wen

Proceedings of the WWW '21: The Web Conference 2021, 2021

USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence.

Jing Yao, Zhicheng Dou, Ruobing Xie, Yanxiong Lu, Zhiping Wang, Ji-Rong Wen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

RLPer: A Reinforcement Learning Model for Personalized Search.

Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Employing Personal Word Embeddings for Personalized Search.

Jing Yao, Zhicheng Dou, Ji-Rong Wen

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

RUCIR at the NTCIR-15 WWW-3 Task.

Xiaochen Zuo, Jing Yao, Zhicheng Dou

Proceedings of the 15th NTCIR Conference on Evaluation of Information Access Technologies, 2020