Why and how to convert mT5 into a regression metric for numerical predictionScreenshot of https://huggingface.co/google/mt5-largeMy bachelor's thesis was a research ...
Graph generation is an important task in several fields, including molecular design and social network analysis, due to its ability ...
Large language models (LLMs) have demonstrated notable similarities to the ability of human cognitive processes to form abstractions and adapt ...
*Equal taxpayers Large language models (LLMs) are increasingly tailored to accomplish specific tasks for implementation in real-world decision systems. Several ...
Natural language processing (NLP) has advanced significantly with deep learning, driven by innovations such as word embedding and transformative architectures. ...
Efficient parameter fine-tuning (PEFT) methods, such as low-rank adaptation (LoRA), allow large pre-trained baseline models to adapt to subsequent tasks ...
Recent advances in diffusion models have significantly improved tasks such as image, video, and 3D generation, with pre-trained models such ...
The process of human speech production involves coordinated respiratory action to obtain acoustic speech signals. Typically, speech is produced by ...
A major problem with large language models (LLMs) is their unintended ability to generate toxic language. In this work, we ...
Introduction XLNet is an autoregressive pretraining method proposed in the article "XLNet: Generalized Autoregressive Pretraining for Language Understanding". XLNet uses ...
