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Nicolay Rusnachenko

nicolay-r
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https://nicolayr.com/

AI & ML interests

NLP for Healthcare βš•οΈ @BU_Research・PhD in NLP / IR ・Textual Information Retrieval

Recent Activity

reacted to prithivMLmods's post with πŸ‘ 2 days ago
Introducing the D.Markdown Experimental Models, Proxima and Epsilon OCR models, built on top of Qwen3-VL and Qwen2.5-VL respectively. Proxima is optimized for Markdown generation and is capable of embedding inline programming code snippets and generating rich nodes such as HTML, XML, JSON, and YAML. Epsilon is optimized for reconstructing complex layouts including tables, forms, and mathematical content. 🌌✨ ● proxima-ocr-d.markdown-post3.0.l: https://huggingface.co/prithivMLmods/proxima-ocr-d.markdown-post3.0.l ● epsilon-ocr-d.markdown-post3.0.m: https://huggingface.co/prithivMLmods/epsilon-ocr-d.markdown-post3.0.m ● proxima-ocr-d.markdown-post3.0.l-gguf: https://huggingface.co/prithivMLmods/proxima-ocr-d.markdown-post3.0.l-GGUF ● epsilon-ocr-d.markdown-post3.0.m-gguf: https://huggingface.co/prithivMLmods/epsilon-ocr-d.markdown-post3.0.m-GGUF ● Collection: https://huggingface.co/collections/prithivMLmods/dynamic-markdowns ● Multimodal Apps: https://huggingface.co/collections/prithivMLmods/multimodal-implementations πŸ‘‰ These models are stage progression models, and currently they may contain artifacts. To know more about it, visit the app page or the respective model page!
upvoted a paper 9 days ago
Wikontic: Constructing Wikidata-Aligned, Ontology-Aware Knowledge Graphs with Large Language Models
upvoted a paper about 2 months ago
When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA
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