Large Language Model
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding Junda Wu1 Tong Y u 2 Rui Wang 3 Zhao Song
However, recent works reveal that it is non-trivial to find a proper initialization of the prompt tokens.
Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention
Transformer-based language models have found many diverse applications requiring them to process sequences of increasing length.
Android in the Wild: A Large-Scale Dataset for Android Device Control Christopher Rawles Google Research Alice Li
W), which is orders of magnitude larger than current datasets.
comprehensive benchmark on eight tasks
Large Language Models (LLMs) with strong abilities in natural language processing tasks have emerged and have been applied in various kinds of areas such as science, finance and software engineering.
4M: Massively Multimodal Masked Modeling David Mizrahi 1, 2 Roman Bachmann
This, coupled with the model's ability to perform in-painting, enables powerful image