ByteDance study finds that asking LMMs questions beats making it transcribe text for long document training
Quick Take
ByteDance's study shows LMMs perform better answering questions than transcribing long documents.
Key Points
- 7B model outperforms larger models on long documents.
- Model learns by answering questions, not transcribing.
- Effective even with documents four times longer than training.
Article Excerpt
From source RSS / original summaryByteDance Seed shows that a 7B model can answer questions on long, image-heavy documents more reliably than much larger models, even when documents are four times longer than anything it saw during training. Instead of transcribing pages, the model learns by answering questions and finding the right passages on its own. The article ByteDance study finds that asking LMMs questions beats making it transcribe text for long document training appeared first on The Decoder.
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