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"模型合并" 相关文章
MIN-Merging: Merge the Important Neurons for Model Merging
cs.AI updates on arXiv.org 2025-10-22T04:16:47.000000Z
MIN-Merging: Merge the Important Neurons for Model Merging
cs.AI updates on arXiv.org 2025-10-22T04:16:47.000000Z
Towards Reversible Model Merging For Low-rank Weights
cs.AI updates on arXiv.org 2025-10-17T04:15:30.000000Z
Towards Reversible Model Merging For Low-rank Weights
cs.AI updates on arXiv.org 2025-10-17T04:15:30.000000Z
Tiny-R1V: Lightweight Multimodal Unified Reasoning Model via Model Merging
cs.AI updates on arXiv.org 2025-10-13T04:09:28.000000Z
Backdoor Vectors: a Task Arithmetic View on Backdoor Attacks and Defenses
cs.AI updates on arXiv.org 2025-10-10T04:14:52.000000Z
Backdoor Vectors: a Task Arithmetic View on Backdoor Attacks and Defenses
cs.AI updates on arXiv.org 2025-10-10T04:14:52.000000Z
Rethinking Inter-LoRA Orthogonality in Adapter Merging: Insights from Orthogonal Monte Carlo Dropout
cs.AI updates on arXiv.org 2025-10-07T04:12:28.000000Z
On Task Vectors and Gradients
cs.AI updates on arXiv.org 2025-10-02T04:19:35.000000Z
Superpose Task-specific Features for Model Merging
cs.AI updates on arXiv.org 2025-09-19T04:56:44.000000Z
Harnessing Optimization Dynamics for Curvature-Informed Model Merging
cs.AI updates on arXiv.org 2025-09-16T05:27:52.000000Z
Modular Delta Merging with Orthogonal Constraints: A Scalable Framework for Continual and Reversible Model Composition
cs.AI updates on arXiv.org 2025-07-29T04:22:34.000000Z
Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy
cs.AI updates on arXiv.org 2025-07-01T04:13:52.000000Z
奥尔特曼:OpenAI目前尚未实现AGI 外界应降低期待
深度财经头条 2025-01-20T12:05:20.000000Z
OpenAI's o1, Model Merging, California Approves AI Regulation, and More
Society's Backend 2024-12-13T06:24:24.000000Z
通义×Milvus:手把手教你打造专属AI技术顾问
Zilliz 2024-11-11T11:44:54.000000Z
DeepSeek-V2.5:融合通用与代码能力的全新开源模型
DeepSeek 2024-10-28T00:09:54.000000Z
Model Merging, Mixtures of Experts, and Towards Smaller LLMs
Ahead of AI 2024-10-22T06:07:40.000000Z
This AI Research from Cohere for AI Compares Merging vs Data Mixing as a Recipe for Building High-Performant Aligned LLMs
MarkTechPost@AI 2024-10-21T06:36:18.000000Z
Model Kinship: The Degree of Similarity or Relatedness between LLMs, Analogous to Biological Evolution
MarkTechPost@AI 2024-10-18T12:21:08.000000Z