输入信息中模态缺失这个点很值得探索,一些文章通过结构设计、利用已知模态直接或间接生成缺失模态,来解决这个问题,在这篇文章中主要是使用prompt learning prompt learningis proposed, which freezes all the parameters of a pre-trained model while only finetuning several prompts and it has achieved great success....
The “deep learning” era (2010s until …),促使多模态研究发展的关键促成因素有4个,1)新的大规模多模态数据集,2)GPU快速计算,3)强大的视觉特征抽取能力,4)强大的语言特征抽取能力。 表示学习三篇参考文献 Multimodal Deep Learning [ICML 2011] Multimodal Learning with Deep Boltzmann Machines [NIPS 2012] ...
To address this issue, we propose Multimodal Prompt Learning (MPL) for AVSD, a novel approach that preserves the input format of missing data by setting up virtual modalities. We design various types of learnable prompts and MPL can optimize prompt parameters based on the different modal data ...
MaPLe: Multi-modal Prompt Learning [CVPR 2023] MaPLe: Multi-modal Prompt Learning Muhammad Uzair Khattak,Hanoona Rasheed,Muhammad Maaz,Salman Khan,Fahad Shahbaz Khan Official implementation of the paper "MaPLe: Multi-modal Prompt Learning".
In this work, we propose a novel multimodal Transformer framework using prompt learning to address the issue of missing modalities. Our method introduces three types of prompts: generative prompts, missing-signal prompts, and missing-type prompts. These prompts enable the generation of missing ...
吴恩达《联邦学习|Federated Learning》中英字幕(豆包翻译) 吴恩达《大语言模型预训练|Pretraining LLMs》中英字幕【豆包翻译】 吴恩达《提示压缩和查询优化|Prompt Compression and Query Optimization》中英字幕 吴恩达《面向生成式AI开发者的碳意识计算|Carbon Aware Computing for GenAI Developers》 吴恩达《LLMs的函数调...
[ACL 2024 Main] Official PyTorch implementation of the paper "Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition" Introduction The development of multimodal models has significantly advanced multimodal sentiment analysis and emotion recognition. However, in real-...
RLHF(reinforcement learning from human feedback) 分为三个步骤 step1 我做你看:有监督学习,从训练集中挑出一批prompt,人工对prompt写答案。其实就是构造sft数据集进行微调。 step2 你做我看:奖励模型训练,这次不人工写答案了,而是让GPT或其他大模型给出几个候选答案,人工对其质量排序,Reward model学习一个打分器...
1.2 Prompt Leaking Prompt leaking, a form of prompt injection, is prompt attacks designed to leak prompts that could contain confidential or proprietary information that was not intended for the public. A lot of startups are already developing and chaining well-crafted prompts that are leading to...
This type of prompt learning approach (Liu, Yuan et al., 2023, Schick and Schütze, 2021) converts the input form of a downstream task into the form of a pretrain task, making fuller use of the model’s pre-trained knowledge in the form of input familiar to the model. Prompt come ...