Get started
Author

Naibin Gu

A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning
2023 · Naibin Gu, Peng Fu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 11
PDF
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
2024 · Naibin Gu, Peng Fu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 9
PDF
ERNIE 5.0 Technical Report
2026 · Wang, Haifeng, Wu, Hua, et al. · arXiv (Cornell University) · 2
PDF
CompassOPD: Cross-Family On-Policy Distillation via Within-Family Likelihood Shifts
2026 · Gu, Naibin, Si, Qingyi, et al. · arXiv (Cornell University)
PDF
Causal Path Alignment: Anchoring the Optimization Trajectory for Controllable In-Parameter Knowledge Editing
2026 · Xiyu Liu, Zhengxiao Liu, et al. · International Joint Conference on Artificial Intelligence
PDF
Harnessing Streaming Video in the Wild
2026 · Yao, Dingyu, Gu, Shuhuan, et al. · arXiv (Cornell University)
PDF
Uncertainty-Aware Routing for Principled Alignment with MoE Dynamics
2026 · Association for Computational Linguistics 2026, Chen, Yilong, et al. · Underline Science Inc.
Learning to Solve, Forgetting to Retain: Correct-Set Turnover in RLVR
2026 · Qin, Chuanyu, Yang, Chenxu, et al. · arXiv (Cornell University)
PDF
Co-Evolving Policy Distillation
2026 · Gu, Naibin, Yang, Chenxu, et al. · arXiv (Cornell University)
PDF
Learning from the Near Future: Temporal Self-Distillation for RLVR
2026 · Qin, Chuanyu, Yang, Chenxu, et al. · arXiv (Cornell University)
PDF
EasyVideoR1: Easier RL for Video Understanding
2026 · Qin, Chuanyu, Yang, Chenxu, et al. · arXiv (Cornell University)
PDF
KnowRL: Boosting LLM Reasoning via Reinforcement Learning with Minimal-Sufficient Knowledge Guidance
2026 · Yu, Linhao, Yang, Tianmeng, et al. · arXiv (Cornell University)
PDF
Can LoRA Fusion Support Cross-Domain Tasks in Cloud-Edge Collaboration?
2026 · Wang, Yatong, Wang, Fali, et al. · arXiv (Cornell University)
PDF
Self-Distilled RLVR
2026 · Yang, Chenxu, Qin, Chuanyu, et al. · arXiv (Cornell University)
PDF
Beyond the Covariance Trap: Unlocking Generalization in Same-Subject Knowledge Editing for Large Language Models
2026 · Liu, Xiyu, Si, Qingyi, et al. · arXiv (Cornell University)
PDF
Mixture of Universal Experts: Scaling Virtual Width via Depth-Width Transformation
2026 · Chen, Yilong, Gu, Naibin, et al. · arXiv (Cornell University)
PDF
Uncertainty-Aware Routing for Principled Alignment with MoE Dynamics
2026 · Yilong Chen, Junyuan Shang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
CoRe-MoE: Compact Reusable MoE for Continual Multimodal Instruction Tuning
2026 · Runze Liu, Naibin Gu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models
2025 · Xiyu Liu, Zhengxiao Liu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
PDF
Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models
2025 · Naibin Gu, Peng Fu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
CBP-Tuning: Efficient Local Customization for Black-box Large Language Models
2025 · Jiaxuan Zhao, Naibin Gu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Works count: 28
Citation count: 22
H-index: 2
I10-index: 1
Year
Topic
Type