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LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments
The important challenge of keeping knowledge in Large Language Models (LLMs) up-to-date has led to the development of various methods for incorporating new facts.
Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion
Consistent with the findings of QUAG, we find that most of the models achieve near-trivial performance on CLAVI.
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