Bo Liu

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upvoted 2 collections 10 days ago

Nemotron OCR and Object Detection

Collection

4 items • Updated 6 days ago • 2

Llama-Embed-Nemotron-8B

Collection

State-of-the-Art Text Embedding Model • 3 items • Updated 6 days ago • 4

upvoted a collection 15 days ago

KoViDoRe Benchmark (BEIR) v2

Collection

Korean Vision Document Retrieval Benchmark • 6 items • Updated 12 days ago • 5

upvoted an article 19 days ago

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Article

Small Yet Mighty: Improve Accuracy In Multimodal Search and Visual Document Retrieval with Llama Nemotron RAG Models

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20 days ago

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20

upvoted 2 papers 3 months ago

Omni-Embed-Nemotron: A Unified Multimodal Retrieval Model for Text, Image, Audio, and Video

Paper • 2510.03458 • Published Oct 3, 2025 • 2

Llama-Embed-Nemotron-8B: A Universal Text Embedding Model for Multilingual and Cross-Lingual Tasks

Paper • 2511.07025 • Published Nov 10, 2025 • 13

upvoted a collection 3 months ago

ViDoRe Benchmark V3

Collection

ViDoRe V3 is our latest benchmark, engineered to set a new industry gold standard for multi-modal, enterprise document retrieval evaluation. • 8 items • Updated 12 days ago • 17

upvoted an article 3 months ago

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Article

ViDoRe V3: a comprehensive evaluation of retrieval for enterprise use-cases

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Nov 5, 2025

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58

upvoted a collection 3 months ago

Nemotron RAG

Collection

Set of tools to build retrieval-augmented generation (RAG) systems, improve search and ranking accuracy, and extract structured data from complex do • 11 items • Updated 6 days ago • 64

upvoted an article 3 months ago

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Article

Llama‑Embed‑Nemotron‑8B Text Embedding Model Ranks First on Multilingual MTEB Leaderboard

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Oct 21, 2025

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14