Self-Supervised Knowledge Triplet Learning for Zero-Shot Question Answering 论文笔记 Aopolin PhD student5 人赞同了该文章 一、论文概述 研究问题:目前的监督方法依赖于昂贵的数据标注,而这种标注方式却会引入标注的误差,使得系统更聚焦于误差而不是实际的任务 解决方法:该论文提出Knowledge Triplet Learning(KTL)...
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering 文章是说LLM虽然在zero-shot能力很突出,但是在QA这种知识密集型的任务表现一般,为了解决这个问题,有人提出了外部知识整合。 前人经验:知识图谱是外部知识的一种,然后要用知识图谱需要把图和文字混合起来(需要训练额外的层实现)或...
(i.e., unseen answers) in real-word application.To bridge these gaps, in this paper, we propose a Zero-shot VQA algorithm using knowledge graphs and a mask-based learning mechanism for better incorporating external knowledge, and present new answer-based Zero-shot VQA splits for the F-VQA...
Answering general questions about images requires methods capable of Zero-Shot VQA, that is, methods able to answer questions beyond the scope of the training questions. We propose a new evaluation protocol for VQA methods which measures their ability to perform Zero-Shot VQA, and in doing so ...
2021:Zero-shot Visual Question Answering using Knowledge Graphs使用知识图的零次视觉问答,程序员大本营,技术文章内容聚合第一站。
Few-shot Video Question Answering Question Answering Video Question Answering Zero-Shot Video Question Answer Datasets Edit MSR-VTT MSVD WebVid ActivityNet-QA TGIF-QA Results from the Paper Edit Submit results from this paper to get state-of-the-art GitHub badges and help the community compare...
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models arxiv2022 本文出发点为人为标注videoqa数据是繁琐的且数量受限,一般人们会采用一个大型的冻结住的自回归语言模型(比如gpt2等)去适应多模态的输入,但本文用一个冻结的双向预训练语言模型。其实类似prompt learning,把VQA任务转化为MLM任务,根...
Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering K Ma,F Ilievski,J Francis,... - National Conference on Artificial Intelligence 被引量: 0发表: 2021年 Improving Zero-Shot Learning Baselines with Commonsense Knowledge Zero-shot learning — the problem of ...
Zero-Shot Rationalization by Multi-Task Transfer Learning from Question Answering EMNLP 2020 Findings To Reproduce We provide the reproduce code for proposed SBM model Before reproducing, make sure the below python packages installed torch Version: 1.5.0 json tqdm pickle argparse transformers Version: ...
FrozenBiLM is a new model for video question answering that builds on a frozen bidirectional language model. FrozenBiLM excels in settings without any manual annotation (zero-shot) or with limited training data (few-shot), while performing competitively when trained on standard datasets (fully-...