以及基于模块化神经网络建模推理的研究,比如Explainable and explicit visual reasoning over scene graphs @ CVPR 2019 , 这篇文章就是对于一张图中的visual object作为场景图的node,关于模块化神经网络最主要的idea就是我们可以对那些compositional question进行一个parsing,分析出各种语法上的关系来将每个问题划分为对应...
接下来是输出端选择,作者在借鉴了传统的self-CONSISTENCY的想法后,提出了COMPLEXITY-BASED CONSISTENCY,该方法要求模型对于同一问题产生多条不同推理,与原本方法不同,该方法要求对于产生的多种推理按复杂度(reasoning steps)排序,并对其中复杂度高的大多数结果即为最终答案。如图二 图二 实验结果: 图三 其他; (1)作...
However, the effectiveness of ICL heavily relies on the selection of ICEs, and conventional text-based embedding methods are often inadequate for tasks that require multi-step reasoning, such as mathematical and logical problem solving. This is due to the bias introduced by shallow semantic ...
and knowledge-based reasoning. Husky iterates between two stages: 1) generating the next action to take towards solving a given task and 2) executing the action using expert models and updating the current solution state. We identify a thorough ontology of actions for addressing complex tasks and...
Most previous work on open-domain question answering employs a retrieve-and-read strategy, which fails when the question requires complex reasoning, because simply retrieving with the question seldom yields all necessary supporting facts. I present a model for explainable multi-hop reasoning in open-...
At Google I/O 2024, the tech company shows how it is infusing its Gemini AI software into various search functions.Up Next I Tried Google's Project Astra 04:21 Google Introduces Gemini AI Upgrades to Gmail and Chat 06:32 Ask Photos Uses AI to Search Your Google Gallery 01:43 ...
We propose Visually grounded object-centric Chain-of-Thoughts (VoCoT) to support effective and reliable multi-step reasoning in large multi-modal models. For more details, please refer to our paper.In this repository, we will release:The constructed VoCoT-Instruct data that can be use to ...
Chain-of-Thought (CoT) prompting along with sub-question generation and answering has enhanced multi-step reasoning capabilities of Large Language Models (LLMs). However, prompting the LLMs to directly generate sub-questions is suboptimal since they sometimes generate redundant or irrelevant questions....
The new generated dataset for PARARULE. It is generated based on the closed-world assumption. PARARULE Plus is a deep multi-step reasoning dataset over natural language. It can be seen as an improvement on the dataset of PARARULE(Peter Clark et al., 2020). The motivation is to generate ...
然而就在近日,一篇名为《Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning》的论文在AI圈内引发了不小的震荡。...在《Q*: Improving Multi-step Reasoning for LLMs with Delibe...