October 8, 2025Open Access

Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning

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Models fine-tuned on chain-of-frames data outperform existing video LLMs, leading to significant performance improvements.
The developed CoF-Data helps generate reasoning that accurately references key video frames, enhancing understanding.
Our approach eliminates the need for auxiliary networks by leveraging self-contained frame-grounded reasoning.
Reducing the hallucination rate contributes to the models' effectiveness in answering questions based on video input.

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This research demonstrates improved video understanding performance in multimodal LLMs, indicating advancements in chain-of-thought reasoning.

Ghazanfari et al. (2025) studied this question.

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This research demonstrates improved video understanding performance in multimodal LLMs, indicating advancements in chain-of-thought reasoning.