Papers by Taixi Lu

2 papers
A Simple LLM Framework for Long-Range Video Question-Answering (2024.emnlp-main)

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Challenge: a recent study has shown that short video understanding is not trivial due to the need for long-range temporal reasoning capabilities.
Approach: They propose a language-based short- and long-range question-answering framework LLoVi . they propose 'multi-round summarization prompt' that asks the LLM to summarize the captions .
Outcome: The proposed framework outperforms the state-of-the-art on the EgoSchema dataset and to grounded VideoQA.
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences (2024.acl-long)

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Challenge: Multimodal Large Language Models (MLLMs) have demonstrated proficiency in handling a variety of visual-language tasks, but their ability to extrapolate from image sequences has been less investigated.
Approach: They propose a new benchmark to assess MLLMs’ sequential image reasoning abilities.
Outcome: The proposed benchmark features 4,761 diverse image sequences with varying lengths.

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