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大模型
2024
【论文笔记】LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models
【论文笔记】LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models21
【论文笔记】P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
【论文笔记】P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks22
【论文笔记】LoRA: Low-Rank Adaptation of Large Language Models
【论文笔记】LoRA: Low-Rank Adaptation of Large Language Models23
【论文笔记】Towards Privacy-Aware Sign Language Translation at Scale
【论文笔记】Towards Privacy-Aware Sign Language Translation at Scale24
【论文笔记】SCOPE: Sign Language Contextual Processing with Embedding from LLMs
【论文笔记】SCOPE: Sign Language Contextual Processing with Embedding from LLMs25
【论文笔记】Prefix-Tuning: Optimizing Continuous Prompts for Generation
【论文笔记】Prefix-Tuning: Optimizing Continuous Prompts for Generation26
【论文笔记】The Power of Scale for Parameter-Efficient Prompt Tuning
【论文笔记】The Power of Scale for Parameter-Efficient Prompt Tuning27
【论文笔记】Parameter-Efficient Transfer Learning for NLP
【论文笔记】Parameter-Efficient Transfer Learning for NLP28
【论文笔记】Wings: Learning Multimodal LLMs without Text-only Forgetting
【论文笔记】Wings: Learning Multimodal LLMs without Text-only Forgetting29
【论文笔记】VCoder: Versatile Vision Encoders for Multimodal Large Language Models
【论文笔记】VCoder: Versatile Vision Encoders for Multimodal Large Language Models30
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