然而,提取的 KG 三元组不依赖于查询请求,并且缺乏这些事实有效的上下文。举个例子,对于KG三元组{title:“Apple”,relation:“价格上涨”,object:“10%”},如果没有额外的上下文,很难确定出实体”Apple“指的是水果还是公司,除此之外,StructQA 将提取的 KG 三元组和原始文本作为 LLM 的输入,导致Prompt明显变长和...
然后,在构造子图时,为了减小图的大小,大多数模型选择出现在two-hop路径上的实体。因此,「在提取的KG子图中遗漏了一些中间概念(实体)节点和边」。在这种情况下,子图不包含完整的推理链。 最后,「当涉及的概念之间没有直接联系时,当前的模型往往无法对路径进行推理」。虽然在QA中找到推理链通常是具有挑战性的,但当...
2.1 Multi-Hop Pointer-Generator Model 原文提出的MHPGM是一个强大的基线模型,它编码器使用多跳双向注意力、自注意力的混合注意力机制,在解码器使用的是指针生成解码器,以便模型可以在复杂文本内有效地读取和推理并合成一致响应。多跳指针生成器模型框架如图1所示: 多跳指针生成器模型有四部分组成:Embedding Layer、...
In particular, people increasingly pay more attention to complex multi-hop questions rather than simple ones during the lasting pandemic, but the existing COVID-19 QA systems fail to meet their complex information needs. In this paper, we introduce a novel multi-hop QA system called COKG-QA,...
Scaling Visual Question Answering (VQA) to the open-domain and multi-hop nature of web searches, requires fundamental advances in visual representation learning, knowledge aggregation, and language generation. In this work, we introduce WebQA, a challenging new benchmark that proves difficult for ...
Multihop是一种通过多个中间节点转发数据以实现远距离通信的网络技术,广泛应用于无线Ad Hoc、传感器网络等场景,其核心价值在于扩大覆盖范围并提升网络灵活性,但也面临延迟增加和路由复杂度提升等挑战。以下从概念、应用、优缺点及必要性等维度展开分析。 一、Multihop的核心机制 Multihop技术通过中间...
We propose an approach for zero- and few-shot re-ranking of multi-hop document paths for open-domain QA. PromptRank constructs a prompt that consists of(i) an instructionand(ii) the pathand uses an LLM to score paths as probability of generating the question given the prompt. ...
【ACL2020】使用问题图生成解决multi-hop复杂KBQA 目前解决复杂KBQA(Knowledge Base Question Answering)的难点主要在于:问题带限制以及问题里包含有多个关系。这篇文章提出了一个query graph生成方法解决这个问题。 1. 背景介绍 在了解本文具体做什么之前,需要再明确下什么是带限制的问题和multi-hop of relations。带...
Grounded Multi-Hop VideoQA in Long-Form Egocentric Videos This paper considers the problem of Multi-Hop Video Question Answering (MH-VidQA) in long-form egocentric videos. This task not only requires to answer visual questions, but also to localize multiple relevant time intervals within the ...
This often leads models to use heuristics or shortcuts instead of performing true multi-hop reasoning. In this paper, we propose a new multi-hop dataset, MoreHopQA, which shifts from extractive to generative answers. Our dataset is created by utilizing three existing multi-hop datasets: Hotpot...