3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2025★ 3 cited
olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models
Jake Poznanski, Aman Rangapur, Jon Borchardt +6
PDF documents have the potential to provide trillions of novel, high-quality tokens for training language models. However, these documents come in a diversity of types with differi…
cs.IR2023
Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders
Hyunji Lee, Luca Soldaini, Arman Cohan +2
Prevailing research practice today often relies on training dense retrievers on existing large datasets such as MSMARCO and then experimenting with ways to improve zero-shot genera…