Xiaoyuan Yi

Researcher

出版物

表示方法:

- Does LLM Alignment Really Need Diversity? An Empirical Study of Adapting RLVR Methods for Moral Reasoning
  
  Zhaowei Zhang, Xiaohan Liu, Xue-Peng Zhu, Junchao Huang, Ceyao Zhang, Zhiyuan Feng, Yaodong Yang, Xiaoyuan Yi, Xing Xie
  
  March 2026
  
  Publication
- Contextualized Privacy Defense for LLM Agents
  
  Yule Wen, Yanzhe Zhang, Jianxun Lian, Xiaoyuan Yi, Xing Xie, Diyi Yang
  
  March 2026
  
  Preprint
  
  Publication
- On the Dynamics of Multi-Agent LLM Communities Driven by Value Diversity
  
  Muhua Huang, Qinlin Zhao, Xiaoyuan Yi, Xing Xie
  
  December 2025
  
  Publication
- 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
  
  Publication
- The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis
  
  Eoin O’Doherty, Nicole Weinrauch, Andrew Talone, Uri Klempner, Xiaoyuan Yi, Xing Xie, Yi Zeng
  
  September 2025
  
  Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication Publication
- ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
  
  Pengcheng Huang, Zhenghao Liu, Yukun Yan, Xiaoyuan Yi, Hao Chen, Zhiyuan Liu, Maosong Sun, Tong Xiao, Ge Yu, Chenyan Xiong
  
  NeurIPS 2025 | February 2025
  
  Publication
- CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
  
  Jing Yao, Xiaoyuan Yi, Xing Xie
  
  NeurIPS 2024 | July 2024
  
  DOI Publication Publication
- Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
  
  Han Jiang, Xiaoyuan Yi, Zhihua Wei, Shu Wang, Xing Xie
  
  ICML 2025 | June 2024
  
  DOI Publication Publication
- 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
  
  DOI Publication
- Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning
  
  Shitong Duan, Xiaoyuan Yi, Peng Zhang, T. Lu, Xing Xie, Ning Gu
  
  ICLR 2024 | October 2023
  
  DOI Publication
- Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation
  
  Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie (xingx)
  
  Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) | July 2022
  
  Publication
- Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora
  
  Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | May 2022
  
  Applied Data Science Track
  
  PDF
- Clickbait Detection via Contrastive Variational Modelling of Text and Label
  
  Xiaoyuan Yi, Jiarui Zhang, Wenhao Li, Xiting Wang, Xing Xie
  
  International Joint Conference on Artificial Intelligence (IJCAI) | March 2022
  
  Publication

- Does LLM Alignment Really Need Diversity? An Empirical Study of Adapting RLVR Methods for Moral Reasoning
  
  Zhaowei Zhang, Xiaohan Liu, Xue-Peng Zhu, Junchao Huang, Ceyao Zhang, Zhiyuan Feng, Yaodong Yang, Xiaoyuan Yi, Xing Xie
  
  March 2026
  
  Publication
- Contextualized Privacy Defense for LLM Agents
  
  Yule Wen, Yanzhe Zhang, Jianxun Lian, Xiaoyuan Yi, Xing Xie, Diyi Yang
  
  March 2026
  
  Preprint
  
  Publication
- On the Dynamics of Multi-Agent LLM Communities Driven by Value Diversity
  
  Muhua Huang, Qinlin Zhao, Xiaoyuan Yi, Xing Xie
  
  December 2025
  
  Publication
- 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
  
  Publication
- The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis
  
  Eoin O’Doherty, Nicole Weinrauch, Andrew Talone, Uri Klempner, Xiaoyuan Yi, Xing Xie, Yi Zeng
  
  September 2025
  
  Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication Publication
- ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
  
  Pengcheng Huang, Zhenghao Liu, Yukun Yan, Xiaoyuan Yi, Hao Chen, Zhiyuan Liu, Maosong Sun, Tong Xiao, Ge Yu, Chenyan Xiong
  
  NeurIPS 2025 | February 2025
  
  Publication
- CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
  
  Jing Yao, Xiaoyuan Yi, Xing Xie
  
  NeurIPS 2024 | July 2024
  
  DOI Publication Publication
- Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
  
  Han Jiang, Xiaoyuan Yi, Zhihua Wei, Shu Wang, Xing Xie
  
  ICML 2025 | June 2024
  
  DOI Publication Publication
- 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
  
  DOI Publication
- Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning
  
  Shitong Duan, Xiaoyuan Yi, Peng Zhang, T. Lu, Xing Xie, Ning Gu
  
  ICLR 2024 | October 2023
  
  DOI Publication
- Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora
  
  Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | May 2022
  
  Applied Data Science Track
  
  PDF
- Clickbait Detection via Contrastive Variational Modelling of Text and Label
  
  Xiaoyuan Yi, Jiarui Zhang, Wenhao Li, Xiting Wang, Xing Xie
  
  International Joint Conference on Artificial Intelligence (IJCAI) | March 2022
  
  Publication
- Contextualized Privacy Defense for LLM Agents
  
  Yule Wen, Yanzhe Zhang, Jianxun Lian, Xiaoyuan Yi, Xing Xie, Diyi Yang
  
  March 2026
  
  Preprint
  
  Publication
- The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis
  
  Eoin O’Doherty, Nicole Weinrauch, Andrew Talone, Uri Klempner, Xiaoyuan Yi, Xing Xie, Yi Zeng
  
  September 2025
  
  Publication
- 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
  
  DOI Publication
- Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation
  
  Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie (xingx)
  
  Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) | July 2022
  
  Publication

- Does LLM Alignment Really Need Diversity? An Empirical Study of Adapting RLVR Methods for Moral Reasoning
  
  Zhaowei Zhang, Xiaohan Liu, Xue-Peng Zhu, Junchao Huang, Ceyao Zhang, Zhiyuan Feng, Yaodong Yang, Xiaoyuan Yi, Xing Xie
  
  March 2026
  
  Publication
- Contextualized Privacy Defense for LLM Agents
  
  Yule Wen, Yanzhe Zhang, Jianxun Lian, Xiaoyuan Yi, Xing Xie, Diyi Yang
  
  March 2026
  
  Preprint
  
  Publication
- On the Dynamics of Multi-Agent LLM Communities Driven by Value Diversity
  
  Muhua Huang, Qinlin Zhao, Xiaoyuan Yi, Xing Xie
  
  December 2025
  
  Publication
- The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis
  
  Eoin O’Doherty, Nicole Weinrauch, Andrew Talone, Uri Klempner, Xiaoyuan Yi, Xing Xie, Yi Zeng
  
  September 2025
  
  Publication
- 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
  
  Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication Publication
- ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
  
  Pengcheng Huang, Zhenghao Liu, Yukun Yan, Xiaoyuan Yi, Hao Chen, Zhiyuan Liu, Maosong Sun, Tong Xiao, Ge Yu, Chenyan Xiong
  
  NeurIPS 2025 | February 2025
  
  Publication
- CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
  
  Jing Yao, Xiaoyuan Yi, Xing Xie
  
  NeurIPS 2024 | July 2024
  
  DOI Publication Publication
- Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
  
  Han Jiang, Xiaoyuan Yi, Zhihua Wei, Shu Wang, Xing Xie
  
  ICML 2025 | June 2024
  
  DOI Publication Publication
- 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
  
  DOI Publication
- Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning
  
  Shitong Duan, Xiaoyuan Yi, Peng Zhang, T. Lu, Xing Xie, Ning Gu
  
  ICLR 2024 | October 2023
  
  DOI Publication
- Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation
  
  Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie (xingx)
  
  Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) | July 2022
  
  Publication
- Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora
  
  Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | May 2022
  
  Applied Data Science Track
  
  PDF
- Clickbait Detection via Contrastive Variational Modelling of Text and Label
  
  Xiaoyuan Yi, Jiarui Zhang, Wenhao Li, Xiting Wang, Xing Xie
  
  International Joint Conference on Artificial Intelligence (IJCAI) | March 2022
  
  Publication

Xiaoyuan Yi

出版物

Does LLM Alignment Really Need Diversity? An Empirical Study of Adapting RLVR Methods for Moral Reasoning

Contextualized Privacy Defense for LLM Agents

On the Dynamics of Multi-Agent LLM Communities Driven by Value Diversity

Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models

The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis

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

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

ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation

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

Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing

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

Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning

Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation

Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora

Clickbait Detection via Contrastive Variational Modelling of Text and Label

Does LLM Alignment Really Need Diversity? An Empirical Study of Adapting RLVR Methods for Moral Reasoning

Contextualized Privacy Defense for LLM Agents

On the Dynamics of Multi-Agent LLM Communities Driven by Value Diversity

Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models

The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis

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

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

ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation

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

Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing

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

Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning

Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora

Clickbait Detection via Contrastive Variational Modelling of Text and Label

Contextualized Privacy Defense for LLM Agents

The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis

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

Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation

Does LLM Alignment Really Need Diversity? An Empirical Study of Adapting RLVR Methods for Moral Reasoning

Contextualized Privacy Defense for LLM Agents

On the Dynamics of Multi-Agent LLM Communities Driven by Value Diversity

The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis

Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models

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

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

ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation

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

Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing

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

Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning

Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation

Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora

Clickbait Detection via Contrastive Variational Modelling of Text and Label