Guangxiang Zhao

34 papers A* 4A 1Journal 22Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Parameter Arithmetic: Sparse Complementary Fusion for Distribution-Aware Model Merging. CoRR Weihong Lin, Lin Sun, Qilong Shi, Aomufei Yuan, Yuxuan Tian, Zhengyang Wang, Guangxiang Zhao, Xiangzheng Zhang, Tong Yang
2025	—	`conf`	BiSaGA: A Novel Bidirectional Sparse Graph Attention Adapter for Evidence-Based Fact-Checking. CCL Junfeng Ran, Weiyao Luo, Zailong Tian, Guangxiang Zhao, Dawei Zhu, Longyun Wu, Hailiang Huang, Sujian Li
2025	—	`conf`	Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision. EMNLP (Findings) Dawei Zhu, Xiyu Wei, Guangxiang Zhao, Wenhao Wu, Haosheng Zou, Junfeng Ran, Xun Wang, Lin Sun, Xiangzheng Zhang, Sujian Li
2025	J	`jnl`	Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision. CoRR Dawei Zhu, Xiyu Wei, Guangxiang Zhao, Wenhao Wu, Haosheng Zou, Junfeng Ran, Xun Wang, Lin Sun, Xiangzheng Zhang, Sujian Li
2025	J	`jnl`	Evaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation Design. CoRR Lin Sun, Weihong Lin, Jinzhu Wu, Yongfu Zhu, Xiaoqi Jian, Guangxiang Zhao, Change Jia, Linglin Zhang, Saier Hu, Yuhan Wu, Xiangzheng Zhang
2025	A*	`conf`	Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements. EMNLP Guangxiang Zhao, Saier Hu, Xiaoqi Jian, Jinzhu Wu, Yuhan Wu, Lin Sun, Xiangzheng Zhang
2025	—	`conf`	LongAttn: Selecting Long-context Training Data via Token-level Attention. ACL (Findings) Longyun Wu, Dawei Zhu, Guangxiang Zhao, Zhuocheng Yu, Junfeng Ran, Xiangyu Wong, Lin Sun, Sujian Li
2025	J	`jnl`	LongAttn: Selecting Long-context Training Data via Token-level Attention. CoRR Longyun Wu, Dawei Zhu, Guangxiang Zhao, Zhuocheng Yu, Junfeng Ran, Xiangyu Wong, Lin Sun, Sujian Li
2025	J	`jnl`	Rethinking Natural Language Generation with Layer-Wise Multi-View Decoding. ACM Trans. Knowl. Discov. Data Fenglin Liu, Xuancheng Ren, Guangxiang Zhao, Chenyu You, Sherry Ma, Xian Wu, Wei Fan, Xu Sun
2025	A	`conf`	Router Upcycling: Leveraging Mixture-of-Routers in Mixture-of-Experts Upcycling. ECAI Junfeng Ran, Guangxiang Zhao, Yuhan Wu, Dawei Zhu, Longyun Wu, Yikai Zhao, Tong Yang, Lin Sun, Xiangzheng Zhang, Sujian Li
2025	J	`jnl`	Router Upcycling: Leveraging Mixture-of-Routers in Mixture-of-Experts Upcycling. CoRR Junfeng Ran, Guangxiang Zhao, Yuhan Wu, Dawei Zhu, Longyun Wu, Yikai Zhao, Tong Yang, Lin Sun, Xiangzheng Zhang, Sujian Li
2025	J	`jnl`	Stress Testing Generalization: How Minor Modifications Undermine Large Language Model Performance. CoRR Guangxiang Zhao, Saier Hu, Xiaoqi Jian, Jinzhu Wu, Yuhan Wu, Change Jia, Lin Sun, Xiangzheng Zhang
2025	J	`jnl`	TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation. CoRR 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
2025	J	`jnl`	Uncertainty Under the Curve: A Sequence-Level Entropy Area Metric for Reasoning LLM. CoRR Yongfu Zhu, Lin Sun, Guangxiang Zhao, Weihong Lin, Xiangzheng Zhang
2023	—	`conf`	Delving into the Openness of CLIP. ACL (Findings) Shuhuai Ren, Lei Li, Xuancheng Ren, Guangxiang Zhao, Xu Sun
2023	J	`jnl`	When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. CoRR Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun
2023	J	`jnl`	When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. Trans. Mach. Learn. Res. Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun
2022	—	`conf`	From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. EMNLP (Findings) Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun
2022	J	`jnl`	From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. CoRR Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun
2022	J	`jnl`	Rethinking the Openness of CLIP. CoRR Shuhuai Ren, Lei Li, Xuancheng Ren, Guangxiang Zhao, Xu Sun
2022	A*	`conf`	Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks. AAAI Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Yunfang Wu, Xu Sun
2021	—	`conf`	Learning Relation Alignment for Calibrated Cross-modal Retrieval. ACL/IJCNLP (1) Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang
2021	J	`jnl`	Learning Relation Alignment for Calibrated Cross-modal Retrieval. CoRR Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang
2021	J	`jnl`	Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models. CoRR Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun
2021	A*	`conf`	Topology-Imbalance Learning for Semi-Supervised Node Classification. NeurIPS Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun
2021	J	`jnl`	Topology-Imbalance Learning for Semi-Supervised Node Classification. CoRR Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun
2021	J	`jnl`	Well-classified Examples are Underestimated in Classification with Deep Neural Networks. CoRR Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Xu Sun
2020	J	`jnl`	Layer-Wise Cross-View Decoding for Sequence-to-Sequence Learning. CoRR Fenglin Liu, Xuancheng Ren, Guangxiang Zhao, Xu Sun
2019	J	`jnl`	Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection. CoRR Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang, Xuancheng Ren, Qi Su, Xu Sun
2019	J	`jnl`	MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning. CoRR Guangxiang Zhao, Xu Sun, Jingjing Xu, Zhiyuan Zhang, Liangchen Luo
2019	—	`conf`	Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations. NAACL-HLT (1) Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren, Xu Sun
2019	A*	`conf`	Understanding and Improving Layer Normalization. NeurIPS Jingjing Xu, Xu Sun, Zhiyuan Zhang, Guangxiang Zhao, Junyang Lin
2019	J	`jnl`	Understanding and Improving Layer Normalization. CoRR Jingjing Xu, Xu Sun, Zhiyuan Zhang, Guangxiang Zhao, Junyang Lin
2018	J	`jnl`	Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations. CoRR Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren