Bhimraj Yadav PRO

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upvoted a paper 3 days ago

Transformers without Normalization

Paper • 2503.10622 • Published 4 days ago • 114

upvoted an article 13 days ago

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Article

A Deepdive into Aya Vision: Advancing the Frontier of Multilingual Multimodality

14 days ago

• 67

upvoted an article 14 days ago

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Article

The Beginners Guide to Cleaning a Dataset

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Nov 18, 2024

• 24

upvoted 2 papers 24 days ago

Qwen2.5-VL Technical Report

Paper • 2502.13923 • Published 26 days ago • 164

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

Paper • 2502.14786 • Published 25 days ago • 130

upvoted 3 papers 25 days ago

SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?

Paper • 2502.13233 • Published 27 days ago • 13

Craw4LLM: Efficient Web Crawling for LLM Pretraining

Paper • 2502.13347 • Published 27 days ago • 27

Magma: A Foundation Model for Multimodal AI Agents

Paper • 2502.13130 • Published 27 days ago • 56

upvoted 12 papers 26 days ago

Baichuan-M1: Pushing the Medical Capability of Large Language Models

Paper • 2502.12671 • Published 27 days ago • 1

Scaling Test-Time Compute Without Verification or RL is Suboptimal

Paper • 2502.12118 • Published 28 days ago • 1

Soundwave: Less is More for Speech-Text Alignment in LLMs

Paper • 2502.12900 • Published 27 days ago • 78

Is Noise Conditioning Necessary for Denoising Generative Models?

Paper • 2502.13129 • Published 27 days ago • 1

ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Paper • 2501.10132 • Published Jan 17 • 19

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding

Paper • 2501.13106 • Published Jan 22 • 85

Baichuan-Omni-1.5 Technical Report

Paper • 2501.15368 • Published Jan 26 • 61

Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 63

Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate

Paper • 2501.17703 • Published Jan 29 • 55

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

Paper • 2502.02737 • Published Feb 4 • 205

Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Paper • 2502.06703 • Published Feb 10 • 142

Scaling Pre-training to One Hundred Billion Data for Vision Language Models

Paper • 2502.07617 • Published Feb 11 • 29