MRPC

Researchers propose LoRA-Diffusion, a parameter-efficient fine-tuning method that applies low-rank decomposition to the denoising trajectory of diffusion-based language models, achieving the highest m…

Hugging Face tokenizer code in the Chapter 3 course notebook fails because the Datasets library now returns a Column object instead of a plain Python list when indexing by column name, breaking the to…

Researchers at arXiv propose a hybrid pre-training objective for language models that combines a Joint Embedding Predictive Architecture (JEPA) latent-space prediction loss with masked language modell…