Zhe Yang

According to our database, Zhe Yang authored at least 12 papers between 2023 and 2025.

Collaborative distances:

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

2025

CiteCheck: Towards Accurate Citation Faithfulness Detection.

Ziyao Xu, Shaohang Wei, Zhuoheng Han, Jing Jin, Zhe Yang, Xiaoguang Li, Haochen Tan, Zhijiang Guo, Houfeng Wang

CoRR, February, 2025

SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine.

Xiaochen Wang, Junqing He, Liang Chen, Gholamreza Haffari, Yiru Wang, Zhe Yang, Xiangdi Meng, Kunhao Pan, Zhifang Sui

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models.

Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs.

Zhe Yang, Yichang Zhang, Yudong Wang, Ziyao Xu, Junyang Lin, Zhifang Sui

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

Exploring Activation Patterns of Parameters in Language Models.

Yudong Wang, Damai Dai, Zhe Yang, Jingyuan Ma, Zhifang Sui

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine.

Xiaochen Wang, Junqing He, Liang Chen, Reza Haf, Zhe Yang, Yiru Wang, Xiangdi Meng, Kunhao Pan, Zhifang Sui

CoRR, 2024

Towards a Unified View of Preference Learning for Large Language Models: A Survey.

Bofei Gao, Feifan Song, Yibo Miao, Zefan Cai, Zhe Yang, Liang Chen, Helan Hu, Runxin Xu, Qingxiu Dong, Ce Zheng, Wen Xiao, Ge Zhang, Daoguang Zan, Keming Lu, Bowen Yu, Dayiheng Liu, Zeyu Cui, Jian Yang, Lei Sha, Houfeng Wang, Zhifang Sui, Peiyi Wang, Tianyu Liu, Baobao Chang

CoRR, 2024

FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering.

Xiaochen Wang, Junqing He, Zhe Yang, Yiru Wang, Xiangdi Meng, Kunhao Pan, Zhifang Sui

CoRR, 2024

PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization.

Xiangdi Meng, Damai Dai, Weiyao Luo, Zhe Yang, Shaoxiang Wu, Xiaochen Wang, Peiyi Wang, Qingxiu Dong, Liang Chen, Zhifang Sui

CoRR, 2024

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?

Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui

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

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding.

Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning.

Zhe Yang, Damai Dai, Peiyi Wang, Zhifang Sui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023