AdaptLLM/remote-sensing-VQA-benchmark
Adapting Multimodal Large Language Models to Domains via Post-Training (EMNLP 2025) This repos contains the remote sensing visual instruction tasks for evaluating MLLMs in our paper: On Domain-Specific Post-Training for Multimodal Large Language Models. The main project page is: Adapt-MLLM-to-Domains 1. Download Data You can load datasets using the datasets library: from datasets import load_dataset # Choose the task name from the list of available tasks… See the full description on the dataset page: https://huggingface.co/datasets/AdaptLLM/remote-sensing-VQA-benchmark.
| Author / organization | AdaptLLM |
|---|---|
| Downloads | 223 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 28 March 2025 |
| Last updated at source | 21 August 2025 |
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- 16 Oct 2026 Description: Adapting Multimodal Large Language Models to Domains via Post-Training (EMNLP 2025) This repos contains the remote sensing visual instruction tasks for evaluating MLLMs in our paper: On Domain-Specific Post-Training for Multimodal Large Lan → Adapting Multimodal Large Language Models to Domains via Post-Training (EMNLP 2025) This repos contains the remote sensing visual instruction tasks for evaluating MLLMs in our paper: On Domain-Specific Post-Training for Multimodal Large Lan
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