ByteDance study finds that asking LMMs questions beats making it transcribe text for long document training

In three linesByteDance Seed demonstrates that a 7B model answers questions on long, image-heavy documents more reliably than much larger models, even on documents 4× longer than training data. Key finding: learning via question-answering outperforms text transcription approaches.

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