Yige Yuan

According to our database, Yige Yuan authored at least 33 papers between 2017 and 2026.

Collaborative distances:

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

2026

Meta-Reinforcement Learning with Self-Reflection for Agentic Search.

Teng Xiao, Yige Yuan, Hamish Ivison, Huaisheng Zhu, Faeze Brahman, Nathan Lambert, Pradeep Dasigi, Noah A. Smith, Hannaneh Hajishirzi

CoRR, March, 2026

R²PO: Decoupling Training Trajectories from Inference Responses for LLM Reasoning.

Jingchu Wang, Bingbing Xu, Yige Yuan, Bin Xie, Xiaoqian Sun, Huawei Shen

CoRR, January, 2026

Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems.

Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng

CoRR, January, 2026

GIFT: Games as Informal Training for Generalizable LLMs.

Nuoyan Lyu, Bingbing Xu, Weihao Meng, Yige Yuan, Yang Zhang, Zhiyong Huang, Tat-Seng Chua, Huawei Shen

CoRR, January, 2026

Multi-Personality Generation of LLMs at Decoding-time.

Rongxin Chen, Yunfan Li, Yige Yuan, Bingbing Xu, Huawei Shen

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Incentivizing Strong Reasoning from Weak Supervision.

Yige Yuan, Teng Xiao, Shuchang Tao, Xue Wang, Jinyang Gao, Bolin Ding, Bingbing Xu

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Simple Denoising Diffusion Language Models.

Huaisheng Zhu, Zhengyu Chen, Shijie Zhou, Zhihui Xie, Yige Yuan, Zhimeng Guo, Siyuan Xu, Hangfan Zhang, Vasant G. Honavar, Teng Xiao

CoRR, October, 2025

MIGE: A Unified Framework for Multimodal Instruction-Based Image Generation and Editing.

Xueyun Tian, Wei Li, Bingbing Xu, Yige Yuan, Yuanzhuo Wang, Huawei Shen

CoRR, February, 2025

Unveiling the Potential of LLMs in Simulated Society: A Knowledge-Driven LLM Agent Framework for User Modeling.

Shengmao Zhu, Bingbing Xu, Yige Yuan, Bin Xie, Yunfan Li, Huawei Shen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Fact-Level Calibration and Correction for Long-Form Generations.

Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning.

Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Inference-time Alignment in Continuous Space.

Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng

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

MIGE: Mutually Enhanced Multimodal Instruction-Based Image Generation and Editing.

Xueyun Tian, Wei Li, Bingbing Xu, Yige Yuan, Yuanzhuo Wang, Huawei Shen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Adaptive Multiscale Decomposition Echo State Network for Chaotic Time Series Prediction.

Jing Zhang, XiaoDan He, Yige Yuan, Yang Yang

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

On a Connection Between Imitation Learning and RLHF.

Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant G. Honavar

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters.

Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G. Honavar

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

The 1st Workshop on LLM Agents for Social Simulation.

Yige Yuan, Junkai Zhou, Bingbing Xu, Liang Pang, Du Su, An Zhang, Teng Xiao, Fengli Xu, Zhaochun Ren, Xu Chen

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment.

Bin Xie, Bingbing Xu, Yige Yuan, Shengmao Zhu, Huawei Shen

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

2024

Novel Distance Measures of q-Rung Orthopair Fuzzy Sets and Their Applications.

Donglai Wang, Yige Yuan, Zhe Liu, Sijia Zhu, Zhifang Sun

Symmetry, May, 2024

Towards generalizable Graph Contrastive Learning: An information theory perspective.

Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng

Neural Networks, 2024

Fact-Level Confidence Calibration and Self-Correction.

Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng

CoRR, 2024

MITA: Bridging the Gap between Model and Data for Test-time Adaptation.

Yige Yuan, Bingbing Xu, Teng Xiao, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

CoRR, 2024

Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning.

Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng

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

Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment.

Teng Xiao, Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant G. Honavar

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

How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective.

Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G. Honavar

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

History Driven Sampling for Scalable Graph Neural Networks.

Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng

Proceedings of the Database Systems for Advanced Applications, 2024

TEA: Test-Time Energy Adaptation.

Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion.

Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

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

2023

Anomaly detection method based on penalty least squares algorithm and time window entropy for Cyber-Physical Systems.

Jing Zhang, Yige Yuan, Jiahong Zhang, Yang Yang, Wenjin Xie

J. King Saud Univ. Comput. Inf. Sci., December, 2023

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training.

Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network.

Yang Li, Bingbing Xu, Qi Cao, Yige Yuan, Huawei Shen

CoRR, 2022

2020

A New GNSS Spoofing Detection Method Using Two Antennas.

Jiajia Chen, Ying Xu, Hong Yuan, Yige Yuan

IEEE Access, 2020

2017

Several Generalized Interval-Valued 2-Tuple Linguistic Interval Distance Measures and Their Application.

Fanyong Meng, Yige Yuan, Xiaohong Chen

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2017