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OpenEvals/evaluation-guidebook

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Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

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RexBERT: Encoders for a brave new world of E-Commerce

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Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Paper • 2510.04618 • Published Oct 6 • 125

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RexBERT: Encoders for a brave new world of E-Commerce

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MetaCLIP 2: A Worldwide Scaling Recipe

Paper • 2507.22062 • Published Jul 29 • 36

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Open-source DeepResearch – Freeing our search agents

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A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 259

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Qwen2.5-Omni

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End-to-End Omni (text, audio, image, video, and natural speech interaction) model based Qwen2.5 • 7 items • Updated Jul 21 • 160

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Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 139

upvoted 2 papers 9 months ago

SmolVLM: Redefining small and efficient multimodal models

Paper • 2504.05299 • Published Apr 7 • 202

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119

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Welcome Gemma 3: Google's all new multimodal, multilingual, long context open LLM

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SigLIP 2: A better multilingual vision language encoder

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The Ultra-Scale Playbook

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The ultimate guide to training LLM on large GPU Clusters

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Qwen2.5-VL Technical Report

Paper • 2502.13923 • Published Feb 19 • 211

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Vision-language model series based on Qwen2.5 • 11 items • Updated Jul 21 • 550

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

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SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Paper • 2502.02737 • Published Feb 4 • 252

Chain-of-Retrieval Augmented Generation

Paper • 2501.14342 • Published Jan 24 • 58

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Open-R1: Update #1

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Evaluation Guidebook

RexBERT: Encoders for a brave new world of E-Commerce

Open-source DeepResearch – Freeing our search agents

Welcome Gemma 3: Google's all new multimodal, multilingual, long context open LLM

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SigLIP 2: A better multilingual vision language encoder

The Ultra-Scale Playbook

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

Open-R1: Update #1