jebadiah greenwood

Jebadiah

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New activity in featherless-ai/try-this-model 7 months ago

jeiku/Aura-NeMo-12B

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#2 opened 7 months ago by
Jebadiah
reacted to merve's post with 🚀 8 months ago
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Forget any document retrievers, use ColPali 💥💥

Document retrieval is done through OCR + layout detection, but you are losing a lot of information in between, stop doing that! 🤓

ColPali uses a vision language model, which is better in doc understanding 📑
ColPali: vidore/colpali (mit license!)
Blog post: https://huggingface.co/blog/manu/colpali
The authors also released a new benchmark for document retrieval:
ViDoRe Benchmark: vidore/vidore-benchmark-667173f98e70a1c0fa4db00d
ViDoRe Leaderboard: vidore/vidore-leaderboard

ColPali marries the idea of modern vision language models with retrieval 🤝

The authors apply contrastive fine-tuning to SigLIP on documents, and pool the outputs (they call it BiSigLip). Then they feed the patch embedding outputs to PaliGemma and create BiPali 🖇️
BiPali natively supports image patch embeddings to an LLM, which enables leveraging the ColBERT-like late interaction computations between text tokens and image patches (hence the name ColPali!) 🤩

The authors created the ViDoRe benchmark by collecting PDF documents and generate queries from Claude-3 Sonnet.
ColPali seems to be the most performant model on ViDoRe. Not only this, but is way faster than traditional PDF parsers too!