WaltonFuture/Multimodal-Cold-Start

Multimodal-Cold-Start Dataset: Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start This repository hosts the Multimodal-Cold-Start dataset, a crucial component of the research presented in the paper "Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start". This dataset is specifically designed for the cold start supervised fine-tuning (SFT) stage, which serves as the initial phase in a two-stage approach to enhance multimodal reasoning… See the full description on the dataset page: https://huggingface.co/datasets/WaltonFuture/Multimodal-Cold-Start.

<iframe src="https://silytics.si/embed/item/20ad16b2-c613-40bc-91fe-0610883fa03e" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.