CLAMP: Contrastive LAnguage Model Prompt-tuning

arXiv:2312.01629v2 Announce Type: replace
Abstract: Large language models (LLMs) have emerged as powerful general-purpose interfaces for many machine learning problems. Recent work has adapted LLMs to generative visual tasks like image captioning, visual question answering, and visual chat, using a relatively small amount of instruction-tuning data. In this paper, we explore whether modern LLMs can also be adapted to classifying an image into a set of categories. First, we evaluate multimodal LLMs that are tuned for generative tasks on zero-shot …

abstract arxiv captioning chat cs.cv data explore general generative image interfaces language language model language models large language large language models llms machine machine learning modern paper prompt question question answering small tasks type visual work