Jeonghwan Park PRO

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upvoted a changelog about 8 hours ago

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Hugging Face Changelog

Granular Feature Access

Aug 12

• 396

upvoted a collection about 2 months ago

Retrieval models I've trained

Collection

8 items • Updated 22 days ago • 3

upvoted an article 10 months ago

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Article

How We Use Claude Code Skills to Run 1,000+ ML Experiments a Day

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sionic-ai

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Dec 8, 2025

• 61

upvoted 2 papers 10 months ago

Flash Sparse Attention: An Alternative Efficient Implementation of Native Sparse Attention Kernel

Paper • 2508.18224 • Published Aug 25, 2025 • 1

MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation

Paper • 2511.09611 • Published Nov 12, 2025 • 72

upvoted a paper 11 months ago

KORMo: Korean Open Reasoning Model for Everyone

Paper • 2510.09426 • Published Oct 10, 2025 • 87

upvoted an article 12 months ago

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Article

Vocabulary is the most important element of Sparse Retrieval

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yjoonjang

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Oct 4, 2025

• 10

upvoted 2 articles about 1 year ago

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Article

Training and Finetuning Reranker Models with Sentence Transformers

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tomaarsen

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Mar 26, 2025

• 197

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Article

ChatML vs Harmony: Understanding the new Format from OpenAI 🔍

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kuotient

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Aug 9, 2025

• 58

upvoted a paper over 1 year ago

Kanana: Compute-efficient Bilingual Language Models

Paper • 2502.18934 • Published Feb 26, 2025 • 66

upvoted 3 papers almost 2 years ago

Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 381

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training

Paper • 2411.13476 • Published Nov 20, 2024 • 16

Stronger Models are NOT Stronger Teachers for Instruction Tuning

Paper • 2411.07133 • Published Nov 11, 2024 • 39

upvoted an article almost 2 years ago

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Article

Navigating Korean LLM Research #1: Models

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amphora

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Oct 22, 2024

• 26

upvoted a paper almost 2 years ago

Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free

Paper • 2410.10814 • Published Oct 14, 2024 • 51

upvoted a collection almost 2 years ago

Gemma-APS Release

Collection

Gemma models for text-to-propositions segmentation. The models are distilled from fine-tuned Gemini Pro model applied to multi-domain synthetic data. • 3 items • Updated Jul 21 • 26

upvoted 3 articles about 2 years ago

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Article

Fine-tuning LLMs to 1.58bit: extreme quantization made easy

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• +4

medmekk, marcsun13, lvwerra, pcuenq, osanseviero, thomwolf

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Sep 18, 2024

• 282

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Article

dstack: Your LLM Launchpad - From Fine-Tuning to Serving, Simplified

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chansung

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Aug 22, 2024

• 13

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Article

Training and Finetuning Embedding Models with Sentence Transformers

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tomaarsen

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May 28, 2024

• 279

upvoted a paper about 2 years ago

Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 85