Pritam Kumar Ravi

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liked a model 8 days ago

Arrexel/pattern-diffusion

Text-to-Image • Updated 13 days ago • 639 • 99

upvoted 2 papers 9 days ago

Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off

Paper • 2508.04825 • Published 15 days ago • 56

MolmoAct: Action Reasoning Models that can Reason in Space

Paper • 2508.07917 • Published 10 days ago • 38

New activity in Matej/bert-base-buddhist-sanskrit 21 days ago

corpus

#2 opened 21 days ago by

PritamcodesAGI

upvoted a paper 25 days ago

Group Sequence Policy Optimization

Paper • 2507.18071 • Published 28 days ago • 289

upvoted a paper about 1 month ago

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Paper • 2507.05687 • Published Jul 8 • 26

upvoted a paper about 2 months ago

GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 229

liked 2 models about 2 months ago

black-forest-labs/FLUX.1-Kontext-dev

Image-to-Image • Updated Jun 27 • 385k • • 2.14k

maya-research/Veena

Text-to-Speech • 4B • Updated Jun 25 • 5.22k • 184

upvoted 2 papers 2 months ago

LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs

Paper • 2506.14429 • Published Jun 17 • 45

Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 255

upvoted an article 2 months ago

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Article

Explore, Build, and Innovate AI Reasoning with NVIDIA’s Open Models and Recipes

By and 2 others •

Jun 4

• 21

upvoted a paper 3 months ago

MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining

Paper • 2505.07608 • Published May 12 • 81

upvoted an article 3 months ago

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Article

Vision Language Models (Better, Faster, Stronger)

By and 4 others •

May 12

• 509

upvoted a paper 3 months ago

ZeroSearch: Incentivize the Search Capability of LLMs without Searching

Paper • 2505.04588 • Published May 7 • 66

reacted to hesamation's post with ❤️ 5 months ago

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1812

this paper lists ways to make reasoning LLMs more efficient:
> enforce token limits per reasoning step
> route tasks to different models (small/large)
> compress reasoning chains during SFT
> reward based on reasoning length
> parallel search at test-time
and more...
@Xiaoye08 @yaful @Warrieryes
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond (2503.21614)

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liked 3 models 5 months ago

manycore-research/SpatialLM-Llama-1B

Text Generation • 1B • Updated Mar 21 • 897 • 982

rasbt/llama-3.2-from-scratch

Updated Jun 12 • 281

deepseek-ai/DeepSeek-V3-0324

Text Generation • 685B • Updated Mar 27 • 423k • • 3.04k

commented on LLM Inference on Edge: A Fun and Easy Guide to run LLMs via React Native on your Phone! 5 months ago

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Hi can I convert VLMs into GGUF?