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It is argued that progress requires validating the interfaces between tutoring stages, not only improving individual components, and that progress requires validating the interfaces between tutoring stages, not only improving individual components.
Recent Multimodal Large Language Models (MLLMs) support retrieval-augmented generation (RAG) for document question answering (QA), yet it remains unclear how effectively they use the provided evidence during answer generation. In this work, we conduct a controlled empirical study of 7 popular MLLMs on long multimodal m...
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