Mohamed Mekkouri

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upvoted an article 6 days ago

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Article

Introducing AutoRound: Intel’s Advanced Quantization for LLMs and VLMs

7 days ago

• 18

upvoted 14 papers about 2 months ago

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 123

V-STaR: Benchmarking Video-LLMs on Video Spatio-Temporal Reasoning

Paper • 2503.11495 • Published Mar 14 • 12

Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills

Paper • 2503.12533 • Published Mar 16 • 66

CoSTAast: Cost-Sensitive Toolpath Agent for Multi-turn Image Editing

Paper • 2503.10613 • Published Mar 13 • 79

Reangle-A-Video: 4D Video Generation as Video-to-Video Translation

Paper • 2503.09151 • Published Mar 12 • 32

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Paper • 2503.09573 • Published Mar 12 • 71

TPDiff: Temporal Pyramid Video Diffusion Model

Paper • 2503.09566 • Published Mar 12 • 45

LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Paper • 2503.07536 • Published Mar 10 • 86

YuE: Scaling Open Foundation Models for Long-Form Music Generation

Paper • 2503.08638 • Published Mar 11 • 65

FedRand: Enhancing Privacy in Federated Learning with Randomized LoRA Subparameter Updates

Paper • 2503.07216 • Published Mar 10 • 32

SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models

Paper • 2503.07605 • Published Mar 10 • 68

MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning

Paper • 2503.07365 • Published Mar 10 • 61

Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders

Paper • 2503.03601 • Published Mar 5 • 232

EuroBERT: Scaling Multilingual Encoders for European Languages

Paper • 2503.05500 • Published Mar 7 • 78

upvoted an article about 2 months ago

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Article

LLM Inference on Edge: A Fun and Easy Guide to run LLMs via React Native on your Phone!

Mar 7

• 53

upvoted an article 8 months ago

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Article

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

Sep 18, 2024

• 242

upvoted a paper 8 months ago

Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 131