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ByteDance and Renmin University release iLLaDA, a diffusion-based language model competing with Qwen2.5

iLLaDA, an 8B parameter language model, employs a diffusion-based approach instead of the traditional LLM architecture like ChatGPT.

Published 6sem1 sourceNotable
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The model matches Qwen2.5's base performance but lags behind after fine-tuning.

Developed through a collaboration between Renmin University researchers and ByteDance, it explores an alternative to dominant autoregressive architectures.

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Auto-synthesis from 1 media source · identified on June 27, 2026
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