Guangxiang Zhao

According to our database, Guangxiang Zhao authored at least 28 papers between 2018 and 2026.

Collaborative distances:

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

2026

Thinking with Reasoning Skills: Fewer Tokens, More Accuracy.

Guangxiang Zhao, Qilong Shi, Xusen Xiao, Xiangzheng Zhang, Tong Yang, Lin Sun

CoRR, April, 2026

Beyond Parameter Arithmetic: Sparse Complementary Fusion for Distribution-Aware Model Merging.

Weihong Lin, Lin Sun, Qilong Shi, Aomufei Yuan, Yuxuan Tian, Zhengyang Wang, Guangxiang Zhao, Xiangzheng Zhang, Tong Yang

CoRR, February, 2026

2025

Uncertainty Under the Curve: A Sequence-Level Entropy Area Metric for Reasoning LLM.

Yongfu Zhu, Lin Sun, Guangxiang Zhao, Weihong Lin, Xiangzheng Zhang

CoRR, August, 2025

Evaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation Design.

Lin Sun, Weihong Lin, Jinzhu Wu, Yongfu Zhu, Xiaoqi Jian, Guangxiang Zhao, Change Jia, Linglin Zhang, Saier Hu, Yuhan Wu, Xiangzheng Zhang

CoRR, June, 2025

TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation.

Lin Sun, Guangxiang Zhao, Xiaoqi Jian, Yuhan Wu, Weihong Lin, Yongfu Zhu, Change Jia, Linglin Zhang, Jinzhu Wu, Junfeng Ran, Saier Hu, Zihan Jiang, Junting Zhou, Wenrui Liu, Bin Cui, Tong Yang, Xiangzheng Zhang

CoRR, March, 2025

LongAttn: Selecting Long-context Training Data via Token-level Attention.

Longyun Wu, Dawei Zhu, Guangxiang Zhao, Zhuocheng Yu, Junfeng Ran, Xiangyu Wong, Lin Sun, Sujian Li

CoRR, February, 2025

Stress Testing Generalization: How Minor Modifications Undermine Large Language Model Performance.

Guangxiang Zhao, Saier Hu, Xiaoqi Jian, Jinzhu Wu, Yuhan Wu, Change Jia, Lin Sun, Xiangzheng Zhang

CoRR, February, 2025

Rethinking Natural Language Generation with Layer-Wise Multi-View Decoding.

Fenglin Liu, Xuancheng Ren, Guangxiang Zhao, Chenyu You, Sherry Ma, Xian Wu, Wei Fan, Xu Sun

ACM Trans. Knowl. Discov. Data, 2025

Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision.

Dawei Zhu, Xiyu Wei, Guangxiang Zhao, Wenhao Wu, Haosheng Zou, Junfeng Ran, Xun Wang, Lin Sun, Xiangzheng Zhang, Sujian Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements.

Guangxiang Zhao, Saier Hu, Xiaoqi Jian, Jinzhu Wu, Yuhan Wu, Lin Sun, Xiangzheng Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Router Upcycling: Leveraging Mixture-of-Routers in Mixture-of-Experts Upcycling.

Junfeng Ran, Guangxiang Zhao, Yuhan Wu, Dawei Zhu, Longyun Wu, Yikai Zhao, Tong Yang, Lin Sun, Xiangzheng Zhang, Sujian Li

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

BiSaGA: A Novel Bidirectional Sparse Graph Attention Adapter for Evidence-Based Fact-Checking.

Junfeng Ran, Weiyao Luo, Zailong Tian, Guangxiang Zhao, Dawei Zhu, Longyun Wu, Hailiang Huang, Sujian Li

Proceedings of the Chinese Computational Linguistics - 24th China National Conference, 2025

LongAttn: Selecting Long-context Training Data via Token-level Attention.

Longyun Wu, Dawei Zhu, Guangxiang Zhao, Zhuocheng Yu, Junfeng Ran, Xiangyu Wong, Lin Sun, Sujian Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2023

When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning.

Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

Trans. Mach. Learn. Res., 2023

Delving into the Openness of CLIP.

Shuhuai Ren, Lei Li, Xuancheng Ren, Guangxiang Zhao, Xu Sun

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

2022

Rethinking the Openness of CLIP.

Shuhuai Ren, Lei Li, Xuancheng Ren, Guangxiang Zhao, Xu Sun

CoRR, 2022

From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models.

Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks.

Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Yunfang Wu, Xu Sun

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models.

Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

CoRR, 2021

Well-classified Examples are Underestimated in Classification with Deep Neural Networks.

Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Xu Sun

CoRR, 2021

Topology-Imbalance Learning for Semi-Supervised Node Classification.

Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Relation Alignment for Calibrated Cross-modal Retrieval.

Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Layer-Wise Cross-View Decoding for Sequence-to-Sequence Learning.

Fenglin Liu, Xuancheng Ren, Guangxiang Zhao, Xu Sun

CoRR, 2020

2019

Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection.

Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang, Xuancheng Ren, Qi Su, Xu Sun

CoRR, 2019

MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning.

Guangxiang Zhao, Xu Sun, Jingjing Xu, Zhiyuan Zhang, Liangchen Luo

CoRR, 2019

Understanding and Improving Layer Normalization.

Jingjing Xu, Xu Sun, Zhiyuan Zhang, Guangxiang Zhao, Junyang Lin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations.

Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren, Xu Sun

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations.

Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren

CoRR, 2018