Dec 21, 2022 · Abstract:Large language models (LLMs) have demonstrated excellent zero-shot generalization to new language tasks.
Img2LLM enables off-the-shelf LLMs to perform zero-shot VQA without costly end-to-end training or specialized textual QA networks [40], thereby allow- ing low- ...
We propose Img2LLM, a plug-and-play module that provides LLM prompts to enable LLMs to perform zeroshot VQA tasks without end-to-end training.
Nov 16, 2022 · The paper proposes a plug-and-play that generates question-image-specific textual prompts for any large language model. The prompts includes generating question ...
Zero-shot Visual Question Answering with Frozen Large Language Models
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Img2LLM is a plug-and-play module that provides LLM prompts to enable LLMs to perform zeroshot VQA tasks without end-to-end training and eliminates the need ...
To address this issue, we propose Img2LLM, a plug-and-play module that provides LLM prompts to enable LLMs to perform zeroshot VQA tasks without end-to-end ...
We develop LLM-agnostic models describe image content as exemplar question-answer pairs, which prove to be effective LLM prompts. Img2LLM offers the following ...
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Dec 21, 2022 · PDF | Large language models (LLMs) have demonstrated excellent zero-shot generalization to new language tasks.
Oct 27, 2023 · We present Reasoning Question Prompts for VQA tasks, which can further activate the potential of LLMs in zero-shot scenarios.
Oct 9, 2023 · In this article we'll use a Q-Former, a technique for bridging computer vision and natural language models, to create a visual question answering system.
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