I want to evaluate models like ModernBERT, Llama and many others on SuperGLUE and my own benchmark. In my setting, every model has to be fine-tuned for the specific task, even decoder models. Is this ...

A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving generative AI models. The method reinterpreted Schrödinger bridge models as ...

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Encoder models like BERT and RoBERTa have long been cornerstones of natural language processing (NLP), powering tasks such as text classification, retrieval, and toxicity detection. However, while ...

Today, virtually every cutting-edge AI product and model uses a transformer architecture. Large language models (LLMs) such as GPT-4o, LLaMA, Gemini and Claude are all transformer-based, and other AI ...

Center for Cognitive Interaction Technology (CITEC), Technical Faculty, Bielefeld University, Bielefeld, Germany Background: In the field of structured information extraction, there are typically ...

the cross-attention cache size must equal the encoder sequence length. batch size for both self-attention and cross-attention caches must be the same as the generating batch size. I have been working ...