Papers by Chuyi Shang

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Challenge:	Existing methods that can find relevant information, extract it, and answer video questions in a single pass are not able to adapt if insufficient or incorrect information is collected.
Approach:	They propose a modular multi-LMM agent framework that can find relevant information, extract it, and answer the question simultaneously.
Outcome:	The proposed model improves performance on several VideoQA benchmarks without fine-tuning on specific datasets.