Naibin Gu - RankMe

23 papers A* 3Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond the Covariance Trap: Unlocking Generalization in Same-Subject Knowledge Editing for Large Language Models. CoRR Xiyu Liu, Qingyi Si, Zhengxiao Liu, Chenxu Yang, Naibin Gu, Zheng Lin
2026	J	`jnl`	Mixture of Universal Experts: Scaling Virtual Width via Depth-Width Transformation. CoRR Yilong Chen, Naibin Gu, Junyuan Shang, Zhenyu Zhang, Yuchen Feng, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
2025	—	`conf`	Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models. ACL (1) Naibin Gu, Peng Fu, Xiyu Liu, Ke Ma, Zheng Lin, Weiping Wang
2025	J	`jnl`	Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models. CoRR Naibin Gu, Peng Fu, Xiyu Liu, Ke Ma, Zheng Lin, Weiping Wang
2025	J	`jnl`	Advantageous Parameter Expansion Training Makes Better Large Language Models. CoRR Naibin Gu, Yilong Chen, Zhenyu Zhang, Peng Fu, Zheng Lin, Shuohuan Wang, Yu Sun, Hua Wu, Weiping Wang, Haifeng Wang
2025	—	`conf`	BeamLoRA: Beam-Constraint Low-Rank Adaptation. ACL (1) Naibin Gu, Zhenyu Zhang, Xiyu Liu, Peng Fu, Zheng Lin, Shuohuan Wang, Yu Sun, Hua Wu, Weiping Wang, Haifeng Wang
2025	J	`jnl`	BeamLoRA: Beam-Constraint Low-Rank Adaptation. CoRR Naibin Gu, Zhenyu Zhang, Xiyu Liu, Peng Fu, Zheng Lin, Shuohuan Wang, Yu Sun, Hua Wu, Weiping Wang, Haifeng Wang
2025	J	`jnl`	Blink: Dynamic Visual Token Resolution for Enhanced Multimodal Understanding. CoRR Yuchen Feng, Zhenyu Zhang, Naibin Gu, Yilong Chen, Peng Fu, Zheng Lin, Shuohuan Wang, Yu Sun, Hua Wu, Weiping Wang, Haifeng Wang
2025	A*	`conf`	CBP-Tuning: Efficient Local Customization for Black-box Large Language Models. EMNLP Jiaxuan Zhao, Naibin Gu, Yuchen Feng, Xiyu Liu, Peng Fu, Zheng Lin, Weiping Wang
2025	J	`jnl`	CBP-Tuning: Efficient Local Customization for Black-box Large Language Models. CoRR Jiaxuan Zhao, Naibin Gu, Yuchen Feng, Xiyu Liu, Peng Fu, Zheng Lin, Weiping Wang
2025	—	`conf`	DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts. ACL (1) Yuchen Feng, Bowen Shen, Naibin Gu, Jiaxuan Zhao, Peng Fu, Zheng Lin, Weiping Wang
2025	J	`jnl`	DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts. CoRR Yuchen Feng, Bowen Shen, Naibin Gu, Jiaxuan Zhao, Peng Fu, Zheng Lin, Weiping Wang
2025	J	`jnl`	Elastic MoE: Unlocking the Inference-Time Scalability of Mixture-of-Experts. CoRR Naibin Gu, Zhenyu Zhang, Yuchen Feng, Yilong Chen, Peng Fu, Zheng Lin, Shuohuan Wang, Yu Sun, Hua Wu, Weiping Wang, Haifeng Wang
2025	A*	`conf`	Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models. AAAI Xiyu Liu, Zhengxiao Liu, Naibin Gu, Zheng Lin, Wanli Ma, Ji Xiang, Weiping Wang
2025	J	`jnl`	Unveiling and Eliminating the Shortcut Learning for Locate-Then-Edit Knowledge Editing via Both Subject and Relation Awareness. CoRR Xiyu Liu, Zhengxiao Liu, Naibin Gu, Zheng Lin, Ji Xiang, Weiping Wang
2025	J	`jnl`	V-ITI: Mitigating Hallucinations in Multimodal Large Language Models via Visual Inference-Time Intervention. CoRR Nan Sun, Zhenyu Zhang, Xixun Lin, Kun Wang, Yanmin Shang, Naibin Gu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang, Yanan Cao
2025	A*	`conf`	Weights-Rotated Preference Optimization for Large Language Models. EMNLP Chenxu Yang, Ruipeng Jia, Mingyu Zheng, Naibin Gu, Zheng Lin, Siyuan Chen, Weichong Yin, Hua Wu, Weiping Wang
2025	J	`jnl`	Weights-Rotated Preference Optimization for Large Language Models. CoRR Chenxu Yang, Ruipeng Jia, Mingyu Zheng, Naibin Gu, Zheng Lin, Siyuan Chen, Weichong Yin, Hua Wu, Weiping Wang
2024	—	`conf`	Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning. ACL (Findings) Naibin Gu, Peng Fu, Xiyu Liu, Bowen Shen, Zheng Lin, Weiping Wang
2024	J	`jnl`	Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning. CoRR Naibin Gu, Peng Fu, Xiyu Liu, Bowen Shen, Zheng Lin, Weiping Wang
2024	J	`jnl`	Orthogonal Finetuning for Direct Preference Optimization. CoRR Chenxu Yang, Ruipeng Jia, Naibin Gu, Zheng Lin, Siyuan Chen, Chao Pang, Weichong Yin, Yu Sun, Hua Wu, Weiping Wang
2024	J	`jnl`	Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models. CoRR Xiyu Liu, Zhengxiao Liu, Naibin Gu, Zheng Lin, Wanli Ma, Ji Xiang, Weiping Wang
2023	—	`conf`	A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning. ACL (1) Naibin Gu, Peng Fu, Xiyu Liu, Zhengxiao Liu, Zheng Lin, Weiping Wang