Bo Liu

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upvoted an article 28 days ago

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Article

MTEB Leaderboard: From a slow demo to feature-rich leaderboard

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Samoed

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28 days ago

• 22

upvoted 2 articles 3 months ago

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Article

Building a Fast Multilingual OCR Model with Synthetic Data

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nvidia

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Apr 17

• 34

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Article

Multimodal Embedding & Reranker Models with Sentence Transformers

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tomaarsen

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Apr 9

• 64

upvoted 7 articles 4 months ago

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Article

Build a Domain-Specific Embedding Model in Under a Day

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nvidia

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Mar 20

• 74

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Article

Nemotron 3 Nano 4B: A Compact Hybrid Model for Efficient Local AI

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nvidia

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Mar 17

• 67

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Article

Beyond Semantic Similarity: Introducing NVIDIA NeMo Retriever’s Generalizable Agentic Retrieval Pipeline

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nvidia

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Mar 13

• 40

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Article

Build an Agent That Thinks Like a Data Scientist: How We Hit #1 on DABStep with Reusable Tool Generation

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nvidia

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Mar 13

• 18

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Article

How NVIDIA AI-Q Reached \#1 on DeepResearch Bench I and II

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nvidia

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Mar 12

• 33

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Article

How NVIDIA Builds Open Data for AI

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nvidia

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Mar 10

• 20

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Article

A framework and leaderboard for Retrieval Pipelines evaluation on ViDoRe v3

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antoineedy

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Feb 27

• 12

upvoted a collection 5 months ago

Nemotron ColEmbed V2

Collection

State-of-the-Art Late Interaction Vision-Language Embedding Models • 3 items • Updated 29 days ago • 14

upvoted an article 5 months ago

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Article

Nemotron ColEmbed V2: Raising the Bar for Multimodal Retrieval with ViDoRe V3’s Top Model

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nvidia

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Feb 4

• 28

upvoted 3 collections 6 months ago

Nemotron OCR and Object Detection

Collection

4 items • Updated 29 days ago • 19

Llama-Embed-Nemotron-8B

Collection

State-of-the-Art Text Embedding Model • 3 items • Updated 29 days ago • 6

KoViDoRe Benchmark (BEIR) v2

Collection

Korean Vision Document Retrieval Benchmark • 4 items • Updated Mar 2 • 6

upvoted an article 6 months 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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nvidia

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Jan 6

• 28

upvoted 2 papers 8 months ago

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

Paper • 2510.03458 • Published Oct 3, 2025 • 3

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

Paper • 2511.07025 • Published Nov 10, 2025 • 16

upvoted a collection 8 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 Jan 14 • 24

upvoted an article 8 months ago

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Article

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

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QuentinJG

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Nov 5, 2025

• 67