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SRIN: Structured Reasoning Integration Network for Robust Video Question Answering

2025-08-19

Abstract excerpt

Video Question Answering (VideoQA) demands deep understanding of visual, temporal, and causal relationships. While Multimodal Large Language Models (MLLMs) offer powerful reasoning capabilities, their raw outputs often lack structure, contain noise, or include erroneous conclusions, posing challenges for effective integration. This paper introduces the Structured Reasoning Integration Network (SRIN), a novel frame...

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Literature Corpus work
0ea2a48b-608d-583c-97a8-a7d5129aa01f
DOI
10.20944/preprints202508.1438.v1
Open publication

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SRIN: Structured Reasoning Integration Network for Robust Video Question AnsweringDOI 10.20944/preprints202508.1438.v1
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