Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models
Hanze Guo, Jing Yao, Xiao Zhou, Xiaoyuan Yi, Xing Xie
NeurIPS 2025 | October 2025
Jing Yao
Researcher
Publications
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CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
Jing Yao, Xiaoyuan Yi, Xing Xie
NeurIPS 2024 | July 2024
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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
IJCAI 2024 | March 2024
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Towards Explainable Collaborative Filtering with Taste Clusters Learning
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
the Web Conference 2023 | April 2023
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USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence
Jing Yao, Zhicheng Dou, Ruobing Xie, Ji-Rong Wehn
2021 Conference on Information and Knowledge Management | November 2021
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FedPS: A Privacy Protection Enhanced Personalized Search Framework
Jing Yao, Zhicheng Dou, Ji-Rong Wen
2021 The Web Conference | April 2021
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Employing Personal Word Embeddings for Personalized Search
Jing Yao, Zhicheng Dou, Ji-Rong Wen
2020 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2020
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RLPer: A reinforcement learning model for personalized search
Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen
2020 The Web Conference | April 2020
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Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models
Hanze Guo, Jing Yao, Xiao Zhou, Xiaoyuan Yi, Xing Xie
NeurIPS 2025 | October 2025
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CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
Jing Yao, Xiaoyuan Yi, Xing Xie
NeurIPS 2024 | July 2024
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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
IJCAI 2024 | March 2024
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USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence
Jing Yao, Zhicheng Dou, Ruobing Xie, Ji-Rong Wehn
2021 Conference on Information and Knowledge Management | November 2021
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FedPS: A Privacy Protection Enhanced Personalized Search Framework
Jing Yao, Zhicheng Dou, Ji-Rong Wen
2021 The Web Conference | April 2021
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Employing Personal Word Embeddings for Personalized Search
Jing Yao, Zhicheng Dou, Ji-Rong Wen
2020 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2020
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RLPer: A reinforcement learning model for personalized search
Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen
2020 The Web Conference | April 2020
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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
IJCAI 2024 | March 2024
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Towards Explainable Collaborative Filtering with Taste Clusters Learning
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
the Web Conference 2023 | April 2023
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USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence
Jing Yao, Zhicheng Dou, Ruobing Xie, Ji-Rong Wehn
2021 Conference on Information and Knowledge Management | November 2021
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FedPS: A Privacy Protection Enhanced Personalized Search Framework
Jing Yao, Zhicheng Dou, Ji-Rong Wen
2021 The Web Conference | April 2021
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Employing Personal Word Embeddings for Personalized Search
Jing Yao, Zhicheng Dou, Ji-Rong Wen
2020 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2020
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RLPer: A reinforcement learning model for personalized search
Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen
2020 The Web Conference | April 2020
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Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models
Hanze Guo, Jing Yao, Xiao Zhou, Xiaoyuan Yi, Xing Xie
NeurIPS 2025 | October 2025
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CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
Jing Yao, Xiaoyuan Yi, Xing Xie
NeurIPS 2024 | July 2024
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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
IJCAI 2024 | March 2024
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Towards Explainable Collaborative Filtering with Taste Clusters Learning
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
the Web Conference 2023 | April 2023
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USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence
Jing Yao, Zhicheng Dou, Ruobing Xie, Ji-Rong Wehn
2021 Conference on Information and Knowledge Management | November 2021
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FedPS: A Privacy Protection Enhanced Personalized Search Framework
Jing Yao, Zhicheng Dou, Ji-Rong Wen
2021 The Web Conference | April 2021
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Employing Personal Word Embeddings for Personalized Search
Jing Yao, Zhicheng Dou, Ji-Rong Wen
2020 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2020
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RLPer: A reinforcement learning model for personalized search
Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen
2020 The Web Conference | April 2020
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