Paul Teiletche

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upvoted a paper about 1 month ago

The Collaboration Gap

Paper • 2511.02687 • Published Nov 4 • 21

upvoted an article about 1 month ago

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Article

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

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Nov 5

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53

upvoted 2 articles about 2 months ago

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Sentence Transformers is joining Hugging Face!

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Oct 22

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85

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Introducing RTEB: A New Standard for Retrieval Evaluation

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Oct 1

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129

upvoted a paper 2 months ago

ModernVBERT: Towards Smaller Visual Document Retrievers

Paper • 2510.01149 • Published Oct 1 • 30

upvoted 4 articles 5 months ago

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Finally, a Replacement for BERT: Introducing ModernBERT

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Dec 19, 2024

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711

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Ettin Suite: SoTA Paired Encoders and Decoders

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Jul 16

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77

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Introducing ColQwen-Omni: Retrieve in every modality

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Jul 17

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75

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SmolLM3: smol, multilingual, long-context reasoner

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Jul 8

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735

upvoted a paper 5 months ago

Should We Still Pretrain Encoders with Masked Language Modeling?

Paper • 2507.00994 • Published Jul 1 • 79

upvoted a collection 5 months ago

ERNIE 4.5

Collection

collection of ERNIE 4.5 models. • 27 items • Updated about 1 month ago • 180

upvoted an article 9 months ago

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Efficient LLM Pretraining: Packed Sequences and Masked Attention

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Oct 7, 2024

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61

upvoted a paper 9 months ago

SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion

Paper • 2503.11576 • Published Mar 14 • 117

upvoted 5 articles 9 months ago

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DeepSearch Using Visual RAG in Agentic Frameworks 🔎

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Mar 21

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37

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ViDoRe Benchmark V2: Raising the Bar for Visual Retrieval

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Mar 18

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13

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SmolVLM Grows Smaller – Introducing the 256M & 500M Models!

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Jan 23

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186

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SmolVLM - small yet mighty Vision Language Model

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Nov 26, 2024

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391

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Introducing smolagents: simple agents that write actions in code.

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Dec 31, 2024

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upvoted a paper about 1 year ago

RegMix: Data Mixture as Regression for Language Model Pre-training

Paper • 2407.01492 • Published Jul 1, 2024 • 40

upvoted a collection about 1 year ago

Parallel Sentences Datasets

Collection

These datasets all have "english" and "non_english" columns for numerous datasets. They can be used to make embedding models multilingual. • 14 items • Updated 1 day ago • 20