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

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

企业开发 2023-07-01 11:13:38 阅读次数: 0

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转载自blog.csdn.net/sinat_37574187/article/details/131415572

论文笔记 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

Prefix-Tuning: Optimizing Continuous Prompts for Generation

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

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

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

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

Prefix Tuning：详细解读Optimizing Continuous Prompts for Generation

Prefix-Tuning论文解读

Prefix-Tuning 论文概述

HuggingFace学习笔记--Prompt-Tuning、P-Tuning和Prefix-Tuning高效微调

【论文笔记】Few-Shot Table-to-Text Generation with Prefix-Controlled Generator

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

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

【论文笔记】WarpGAN: Automatic Caricature Generation

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

论文笔记之《Cell Tracking via Proposal Generation and Selection》

论文笔记：DRAW: A Recurrent Neural Network For Image Generation

【论文笔记】Controllable Natural Language Generation with Contrastive Prefixes

【论文笔记】Medical Dialogue Response Generation with Pivotal Information Recalling

【论文笔记】Commonsense Knowledge Aware Conversation Generation with Graph Attention

【论文笔记】Knowledge Bridging for Empathetic Dialogue Generation

【论文笔记】On the Generation of Medical Dialogs for COVID-19

【论文笔记】Stylistic Response Generation by Controlling Personality Traits and Intent

Prefix Tuning论文解读

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

论文笔记：Hyperparameter Optimization for Tracking with Continuous Deep Q-Learning

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

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