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upvoted an article about 2 months ago

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Article

Should We Still Pretrain Encoders with Masked Language Modeling?

By and 3 others •

Jul 2

• 21

upvoted a paper about 2 months ago

Maintaining MTEB: Towards Long Term Usability and Reproducibility of Embedding Benchmarks

Paper • 2506.21182 • Published Jun 26 • 2

upvoted 2 papers 3 months ago

Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA

Paper • 2505.21115 • Published May 27 • 139

Quartet: Native FP4 Training Can Be Optimal for Large Language Models

Paper • 2505.14669 • Published May 20 • 78

upvoted a paper 4 months ago

ReasonIR: Training Retrievers for Reasoning Tasks

Paper • 2504.20595 • Published Apr 29 • 55

upvoted an article 4 months ago

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MIEB: The Benchmark That Stress-Tests Image-Text Embeddings Like Never Before

By and 2 others •

Apr 24

• 14

upvoted a collection 4 months ago

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Collection

Universal Sentence Encoder for Russian based on RuModernBERT, with support for context lengths up to 8,192 tokens and Matryoshka representation lear • 2 items • Updated Apr 18 • 4

upvoted a paper 4 months ago

MIEB: Massive Image Embedding Benchmark

Paper • 2504.10471 • Published Apr 14 • 18

upvoted an article 5 months ago

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Article

Training and Finetuning Reranker Models with Sentence Transformers v4

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Mar 26

• 158

upvoted a paper 5 months ago

When Less is Enough: Adaptive Token Reduction for Efficient Image Representation

Paper • 2503.16660 • Published Mar 20 • 73

upvoted 9 papers 6 months ago

Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders

Paper • 2503.03601 • Published Mar 5 • 233

Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss

Paper • 2410.17243 • Published Oct 22, 2024 • 95

SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Paper • 2502.14786 • Published Feb 20 • 146

Rank1: Test-Time Compute for Reranking in Information Retrieval

Paper • 2502.18418 • Published Feb 25 • 28

GHOST 2.0: generative high-fidelity one shot transfer of heads

Paper • 2502.18417 • Published Feb 25 • 68

LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers

Paper • 2502.15007 • Published Feb 20 • 175

How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?

Paper • 2502.14502 • Published Feb 20 • 91

MMTEB: Massive Multilingual Text Embedding Benchmark

Paper • 2502.13595 • Published Feb 19 • 38

Contextual Document Embeddings

Paper • 2410.02525 • Published Oct 3, 2024 • 23

upvoted an article 6 months ago

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Train 400x faster Static Embedding Models with Sentence Transformers

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Jan 15

• 205