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2025
【论文笔记】PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
【论文笔记】PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models1
【论文笔记】Direct Preference Optimization: Your Language Model is Secretly a Reward Model
【论文笔记】Direct Preference Optimization: Your Language Model is Secretly a Reward Model2
【论文笔记】LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
【论文笔记】LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models3
【论文笔记】NEFTune: Noisy Embeddings Improve Instruction Finetuning
【论文笔记】NEFTune: Noisy Embeddings Improve Instruction Finetuning4
【论文笔记】QLoRA: Efficient Finetuning of Quantized LLMs
【论文笔记】QLoRA: Efficient Finetuning of Quantized LLMs5
2024
【论文笔记】Top-nσ: Not All Logits Are You Need
【论文笔记】Top-nσ: Not All Logits Are You Need6
【论文笔记】Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
【论文笔记】Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks7
【论文笔记】Editing Models with Task Arithmetic
【论文笔记】Editing Models with Task Arithmetic8
【论文笔记】Visual Prompt Tuning
【论文笔记】Visual Prompt Tuning9
【论文笔记】How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
【论文笔记】How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites10
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