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Author

R. Ghermi

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Conference Open access Oct 2026

From Cause to Effect: Generating Intermediate Event Chains in Videos

This paper introduces Causal Chain Generation (CCG), a novel task where models have to generate the sequence of intermediate events connecting a cause and an effect, and fine-tune VLMs with GRPO using a composite reward that combines a format reward, SODA-Embedding, and Causal-QA accuracy.

R. Ghermi, Vicky Kalogeiton, Ivan Laptev · 0 citations
#artificial intelligence Jun 2024

Long Story Short: Story-level Video Understanding from 20K Short Films

This work proposes Short-Films 20K (SF20K), the largest publicly available movie dataset, and accompanies this dataset with SF20K-Test, a manual, open-ended question answering benchmark, showing that instruction tuning on the large-scale dataset substantially improves model performance.

Ridouane Ghermi, Xi Wang, Vicky Kalogeiton et al. · 11 citations · ⚡1

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