Lex Whalen

lxaw

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upvoted a paper 1 day ago

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liked a model 4 months ago

sbintuitions/sarashina2.2-tts

liked a model 6 months ago

nvidia/Efficient-DLM-4B

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upvoted a paper 1 day ago

You don't need long context

Paper • 2611.05306 • Published 3 days ago • 15

liked a model 4 months ago

sbintuitions/sarashina2.2-tts

Text-to-Speech • 0.8B • Updated Jul 1 • 3.22k • 75

liked 2 models 6 months ago

nvidia/Efficient-DLM-4B

Text Generation • 4B • Updated May 3 • 477 • 30

nvidia/Efficient-DLM-8B

Text Generation • 8B • Updated May 3 • 1.03k • 21

upvoted an article over 1 year ago

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TimeScope: How Long Can Your Video Large Multimodal Model Go?

orrzohar, ruili0, andito, nicholswang

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Jul 23, 2025

• 49

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Qwen/Qwen3-4B

Text Generation • 4B • Updated Jul 26, 2025 • 7.24M • • 786

Dream-org/Dream-v0-Base-7B

Text Generation • 8B • Updated Jul 15, 2025 • 13.3k • 54

upvoted an article over 1 year ago

Article

How to generate text: using different decoding methods for language generation with Transformers

patrickvonplaten

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Mar 1, 2020

• 319

reacted to monsoon-nlp's post with 🔥 over 1 year ago

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I was curious about the Block Diffusion hybrid model and tried retraining it on a DNA tokenizer + dataset 🧬. Too early to evaluate, but it generates sequences (AAATGG TTATTG CAAATC...) and was improving on the validation set during training
Model: monsoon-nlp/dna-blockdiff-papaya
Original paper: Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models (2503.09573)