PekhPekhPekh/HalluVL-DPO

HalluVL-DPO Preference data that teaches vision-language models to answer from the image instead of from what the prompt assumes. Each pair has an image, a query, a chosen answer grounded in the image and a rejected answer that hallucinates. Both answers were written by the model being trained, so there is one dataset for Qwen2-VL-7B-Instruct and one for LLaVA-1.5-7B. From the NeurIPS 2026 paper When Prompts Override Vision: Prompt-Induced Hallucinations in LVLMs. Code:… See the full description on the dataset page: https://huggingface.co/datasets/PekhPekhPekh/HalluVL-DPO.

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