Yige Yuan - RankMe

45 papers A* 11A 2B 1Journal 27Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems. CoRR Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
2026	J	`jnl`	GIFT: Games as Informal Training for Generalizable LLMs. CoRR Nuoyan Lyu, Bingbing Xu, Weihao Meng, Yige Yuan, Yang Zhang, Zhiyong Huang, Tat-Seng Chua, Huawei Shen
2026	—	`conf`	Incentivizing Strong Reasoning from Weak Supervision. EACL (Volume 1: Long Papers) Yige Yuan, Teng Xiao, Shuchang Tao, Xue Wang, Jinyang Gao, Bolin Ding, Bingbing Xu
2026	J	`jnl`	Meta-Reinforcement Learning with Self-Reflection for Agentic Search. CoRR Teng Xiao, Yige Yuan, Hamish Ivison, Huaisheng Zhu, Faeze Brahman, Nathan Lambert, Pradeep Dasigi, Noah A. Smith, Hannaneh Hajishirzi
2026	A	`conf`	Multi-Personality Generation of LLMs at Decoding-time. WSDM Rongxin Chen, Yunfan Li, Yige Yuan, Bingbing Xu, Huawei Shen
2026	J	`jnl`	R CoRR Jingchu Wang, Bingbing Xu, Yige Yuan, Bin Xie, Xiaoqian Sun, Huawei Shen
2025	B	`conf`	Adaptive Multiscale Decomposition Echo State Network for Chaotic Time Series Prediction. ICPADS Jing Zhang, Xiaodan He, Yige Yuan, Yang Yang
2025	A*	`conf`	Fact-Level Calibration and Correction for Long-Form Generations. SIGIR Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng
2025	—	`conf`	From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment. ACL (1) Bin Xie, Bingbing Xu, Yige Yuan, Shengmao Zhu, Huawei Shen
2025	J	`jnl`	From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment. CoRR Bin Xie, Bingbing Xu, Yige Yuan, Shengmao Zhu, Huawei Shen
2025	J	`jnl`	Incentivizing Strong Reasoning from Weak Supervision. CoRR Yige Yuan, Teng Xiao, Shuchang Tao, Xue Wang, Jinyang Gao, Bolin Ding, Bingbing Xu
2025	J	`jnl`	Inference-time Alignment in Continuous Space. CoRR Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng
2025	A*	`conf`	InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning. SIGIR Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
2025	J	`jnl`	InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning. CoRR Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
2025	J	`jnl`	MIGE: A Unified Framework for Multimodal Instruction-Based Image Generation and Editing. CoRR Xueyun Tian, Wei Li, Bingbing Xu, Yige Yuan, Yuanzhuo Wang, Huawei Shen
2025	A*	`conf`	MIGE: Mutually Enhanced Multimodal Instruction-Based Image Generation and Editing. ACM Multimedia Xueyun Tian, Wei Li, Bingbing Xu, Yige Yuan, Yuanzhuo Wang, Huawei Shen
2025	J	`jnl`	Multi-Personality Generation of LLMs at Decoding-time. CoRR Rongxin Chen, Yunfan Li, Yige Yuan, Bingbing Xu, Huawei Shen
2025	A*	`conf`	On a Connection Between Imitation Learning and RLHF. ICLR Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant G. Honavar
2025	J	`jnl`	On a Connection Between Imitation Learning and RLHF. CoRR Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant G. Honavar
2025	A*	`conf`	SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters. ICLR Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G. Honavar
2025	J	`jnl`	SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters. CoRR Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G. Honavar
2025	J	`jnl`	Simple Denoising Diffusion Language Models. CoRR Huaisheng Zhu, Zhengyu Chen, Shijie Zhou, Zhihui Xie, Yige Yuan, Zhimeng Guo, Siyuan Xu, Hangfan Zhang, Vasant G. Honavar, Teng Xiao
2025	A	`conf`	The 1st Workshop on LLM Agents for Social Simulation. CIKM Yige Yuan, Junkai Zhou, Bingbing Xu, Liang Pang, Du Su, An Zhang, Teng Xiao, Fengli Xu, Zhaochun Ren, Xu Chen
2025	—	`conf`	Unveiling the Potential of LLMs in Simulated Society: A Knowledge-Driven LLM Agent Framework for User Modeling. WWW (Companion Volume) Shengmao Zhu, Bingbing Xu, Yige Yuan, Bin Xie, Yunfan Li, Huawei Shen
2024	A*	`conf`	Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment. NeurIPS Teng Xiao, Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant G. Honavar
2024	J	`jnl`	Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment. CoRR Teng Xiao, Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant G. Honavar
2024	J	`jnl`	Fact-Level Confidence Calibration and Self-Correction. CoRR Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng
2024	—	`conf`	History Driven Sampling for Scalable Graph Neural Networks. DASFAA (6) Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng
2024	A*	`conf`	How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective. EMNLP Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G. Honavar
2024	J	`jnl`	How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective. CoRR Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G. Honavar
2024	J	`jnl`	MITA: Bridging the Gap between Model and Data for Test-time Adaptation. CoRR Yige Yuan, Bingbing Xu, Teng Xiao, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
2024	A*	`conf`	Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. SIGIR Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
2024	J	`jnl`	Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. CoRR Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng
2024	J	`jnl`	Novel Distance Measures of q-Rung Orthopair Fuzzy Sets and Their Applications. Symmetry Donglai Wang, Yige Yuan, Zhe Liu, Sijia Zhu, Zhifang Sun
2024	A*	`conf`	PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. AAAI Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
2024	A*	`conf`	TEA: Test-Time Energy Adaptation. CVPR Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
2024	J	`jnl`	Towards generalizable Graph Contrastive Learning: An information theory perspective. Neural Networks Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng
2023	J	`jnl`	Anomaly detection method based on penalty least squares algorithm and time window entropy for Cyber-Physical Systems. J. King Saud Univ. Comput. Inf. Sci. Jing Zhang, Yige Yuan, Jiahong Zhang, Yang Yang, Wenjin Xie
2023	A*	`conf`	Augmentation-Aware Self-Supervision for Data-Efficient GAN Training. NeurIPS Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng
2023	J	`jnl`	PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. CoRR Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
2023	J	`jnl`	TEA: Test-time Energy Adaptation. CoRR Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng
2022	J	`jnl`	Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network. CoRR Yang Li, Bingbing Xu, Qi Cao, Yige Yuan, Huawei Shen
2022	J	`jnl`	Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective. CoRR Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng
2020	J	`jnl`	A New GNSS Spoofing Detection Method Using Two Antennas. IEEE Access Jiajia Chen, Ying Xu, Hong Yuan, Yige Yuan
2017	J	`jnl`	Several Generalized Interval-Valued 2-Tuple Linguistic Interval Distance Measures and Their Application. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Fanyong Meng, Yige Yuan, Xiaohong Chen