【NLP经典论文精读】Prefix-Tuning: Optimizing Continuous Prompts for Generation - 代码天地

【NLP经典论文精读】Prefix-Tuning: Optimizing Continuous Prompts for Generation

业界资讯 2023-08-06 21:04:32 阅读次数: 0

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转载自blog.csdn.net/HERODING23/article/details/131790645

【NLP经典论文精读】Prefix-Tuning: Optimizing Continuous Prompts for Generation

Prefix-Tuning: Optimizing Continuous Prompts for Generation

论文笔记 Prefix-Tuning: Optimizing Continuous Prompts for Generation》

[论文阅读73]Prefix-Tuning：Optimizing Continuous Prompts for Generation

【论文笔记】Prefix-Tuning: Optimizing Continuous Prompts for Generation

【论文精读ACL_2021】Prefix-Tuning: Optimizing Continuous Prompts for Generation

[文献阅读]——Prefix-Tuning: Optimizing Continuous Prompts for Generation

Prefix Tuning：详细解读Optimizing Continuous Prompts for Generation

【LLM微调范式1】Prefix-Tuning: Optimizing Continuous Prompts for Generation

[论文解析] Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation

[复现论文程序图]High Speed Continuous Variable Source-Independent Quantum Random Number Generation

PointFlow: 3D Point Cloud Generation with Continuous ..论文阅读笔记

详细解读 CVPR2024：VideoBooth: Diffusion-based Video Generation with Image Prompts

论文阅读 Question Generation

Prefix-Tuning论文解读

Prefix-Tuning 论文概述

【论文精读】Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

论文解读：PromptBERT: Improving BERT Sentence Embeddings with Prompts

【论文阅读-Bidding】《Bid Optimizing and Inventory Scoring in Targeted Online Advertising》

Efficiency optimizing

Celery：Optimizing

【论文精读】Text-To-4D Dynamic Scene Generation

eccv 2018 image caption generation论文导读

【论文笔记】WarpGAN: Automatic Caricature Generation

Unbiased Scene Graph Generation in Videos论文讲解

NLP：《ChatGPT: Optimizing Language Models for Dialogue一种优化的对话语言模型》翻译与解读

Optimizing Unity UI（五）：Optimizing UI Controls

论文笔记：Do Prompt-Based Models Really Understandthe the Meaning of Their Prompts?

论文笔记Point·E: A System for Generating 3D Point Clouds from Complex Prompts

论文阅读：Optimizing the F-measure for Threshold-free Salient Object Detection

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