jordansp/multimodal-grounding-ooc
Multimodal Grounding of Explanations for Out-of-Context Misinformation Detection This dataset contains the outputs, explanations, and visual grounding audits for three vision-language model configurations evaluated on out-of-context (OOC) misinformation detection: Gemma-4-31B-It (Direct): Baseline API evaluation with minimal thinking compute. Gemma-4-31B-It (Thinking): Deliberation API evaluation with high thinking compute (up to 4,352 tokens). Gemma-3-27B-It (Direct):… See the full description on the dataset page: https://huggingface.co/datasets/jordansp/multimodal-grounding-ooc.
Match the dissertation title
Clarify that prompt revisions followed from reading outputs, not accuracy comparison
Add prompt development history (v1-v4), judge prompt, and README explanation
Add prompt development history (v1-v4), judge prompt, and README explanation
Add prompt development history (v1-v4), judge prompt, and README explanation
Add prompt development history (v1-v4), judge prompt, and README explanation
Add prompt development history (v1-v4), judge prompt, and README explanation
Add prompt development history (v1-v4), judge prompt, and README explanation
Add prompt development history (v1-v4), judge prompt, and README explanation
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initial commit