Saved in:
| Main Authors: | Huang, Wenke, Liang, Jian, Shi, Zekun, Zhu, Didi, Wan, Guancheng, Li, He, Du, Bo, Tao, Dacheng, Ye, Mang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.10928 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
by: Huang, Wenke, et al.
Published: (2025)
by: Huang, Wenke, et al.
Published: (2025)
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
by: Liang, Jian, et al.
Published: (2025)
by: Liang, Jian, et al.
Published: (2025)
Federated Graph Semantic and Structural Learning
by: Huang, Wenke, et al.
Published: (2024)
by: Huang, Wenke, et al.
Published: (2024)
ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
by: Liang, Jian, et al.
Published: (2025)
by: Liang, Jian, et al.
Published: (2025)
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
by: Tan, Zihan, et al.
Published: (2024)
by: Tan, Zihan, et al.
Published: (2024)
A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations
by: Ye, Mang, et al.
Published: (2025)
by: Ye, Mang, et al.
Published: (2025)
An Empirical Study of Federated Prompt Learning for Vision Language Model
by: Wang, Zhihao, et al.
Published: (2025)
by: Wang, Zhihao, et al.
Published: (2025)
S2FGL: Spatial Spectral Federated Graph Learning
by: Tan, Zihan, et al.
Published: (2025)
by: Tan, Zihan, et al.
Published: (2025)
MAPO: Mixed Advantage Policy Optimization
by: Huang, Wenke, et al.
Published: (2025)
by: Huang, Wenke, et al.
Published: (2025)
Privacy-Enhancing Paradigms within Federated Multi-Agent Systems
by: Shi, Zitong, et al.
Published: (2025)
by: Shi, Zitong, et al.
Published: (2025)
Backdoor Cleaning without External Guidance in MLLM Fine-tuning
by: Rong, Xuankun, et al.
Published: (2025)
by: Rong, Xuankun, et al.
Published: (2025)
EmoLLM: Multimodal Emotional Understanding Meets Large Language Models
by: Yang, Qu, et al.
Published: (2024)
by: Yang, Qu, et al.
Published: (2024)
EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models
by: Fang, Yiyang, et al.
Published: (2026)
by: Fang, Yiyang, et al.
Published: (2026)
SafeGRPO: Self-Rewarded Multimodal Safety Alignment via Rule-Governed Policy Optimization
by: Rong, Xuankun, et al.
Published: (2025)
by: Rong, Xuankun, et al.
Published: (2025)
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
by: Chen, Yuhang, et al.
Published: (2024)
by: Chen, Yuhang, et al.
Published: (2024)
Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation
by: Zhao, Xingyue, et al.
Published: (2025)
by: Zhao, Xingyue, et al.
Published: (2025)
Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks
by: Jia, Yuang, et al.
Published: (2025)
by: Jia, Yuang, et al.
Published: (2025)
Improving Large Language Models with Concept-Aware Fine-Tuning
by: Chen, Michael K., et al.
Published: (2025)
by: Chen, Michael K., et al.
Published: (2025)
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
by: Zhong, Qihuang, et al.
Published: (2024)
by: Zhong, Qihuang, et al.
Published: (2024)
All in One Framework for Multimodal Re-identification in the Wild
by: Li, He, et al.
Published: (2024)
by: Li, He, et al.
Published: (2024)
Generalizable Geometric Prior and Recurrent Spiking Feature Learning for Humanoid Robot Manipulation
by: Li, Xuetao, et al.
Published: (2026)
by: Li, Xuetao, et al.
Published: (2026)
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning
by: Xia, Tianle, et al.
Published: (2024)
by: Xia, Tianle, et al.
Published: (2024)
Revisiting Catastrophic Forgetting in Large Language Model Tuning
by: Li, Hongyu, et al.
Published: (2024)
by: Li, Hongyu, et al.
Published: (2024)
VeriLoRA: Fine-Tuning Large Language Models with Verifiable Security via Zero-Knowledge Proofs
by: Liao, Guofu, et al.
Published: (2025)
by: Liao, Guofu, et al.
Published: (2025)
Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?
by: He, Haibin, et al.
Published: (2025)
by: He, Haibin, et al.
Published: (2025)
CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process
by: Bi, Jinhe, et al.
Published: (2025)
by: Bi, Jinhe, et al.
Published: (2025)
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients
by: Fang, Xiuwen, et al.
Published: (2025)
by: Fang, Xiuwen, et al.
Published: (2025)
Echo-α: Large Agentic Multimodal Reasoning Model for Ultrasound Interpretation
by: Zhang, Jing, et al.
Published: (2026)
by: Zhang, Jing, et al.
Published: (2026)
BoxTuning: Directly Injecting the Object Box for Multimodal Model Fine-Tuning
by: Qian, Zekun, et al.
Published: (2026)
by: Qian, Zekun, et al.
Published: (2026)
Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler
by: Hu, Zixuan, et al.
Published: (2025)
by: Hu, Zixuan, et al.
Published: (2025)
Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning
by: Ye, Kai, et al.
Published: (2025)
by: Ye, Kai, et al.
Published: (2025)
Learn to Think: Improving Multimodal Reasoning through Vision-Aware Self-Improvement Training
by: Zhong, Qihuang, et al.
Published: (2026)
by: Zhong, Qihuang, et al.
Published: (2026)
Learning to Rank Pre-trained Vision-Language Models for Downstream Tasks
by: Ding, Yuhe, et al.
Published: (2024)
by: Ding, Yuhe, et al.
Published: (2024)
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models
by: Wang, Shuai, et al.
Published: (2024)
by: Wang, Shuai, et al.
Published: (2024)
On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation
by: Tang, Liyao, et al.
Published: (2025)
by: Tang, Liyao, et al.
Published: (2025)
KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance
by: Zhong, Qihuang, et al.
Published: (2025)
by: Zhong, Qihuang, et al.
Published: (2025)
Review of Hallucination Understanding in Large Language and Vision Models
by: Ho, Zhengyi, et al.
Published: (2025)
by: Ho, Zhengyi, et al.
Published: (2025)
A Survey on Agentic Multimodal Large Language Models
by: Yao, Huanjin, et al.
Published: (2025)
by: Yao, Huanjin, et al.
Published: (2025)
ITDR: An Instruction Tuning Dataset for Enhancing Large Language Models in Recommendations
by: Liu, Zekun, et al.
Published: (2025)
by: Liu, Zekun, et al.
Published: (2025)
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation
by: Zhong, Qihuang, et al.
Published: (2022)
by: Zhong, Qihuang, et al.
Published: (2022)
Similar Items
-
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
by: Huang, Wenke, et al.
Published: (2025) -
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
by: Liang, Jian, et al.
Published: (2025) -
Federated Graph Semantic and Structural Learning
by: Huang, Wenke, et al.
Published: (2024) -
ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
by: Liang, Jian, et al.
Published: (2025) -
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
by: Tan, Zihan, et al.
Published: (2024)