UniLM

UniLM, or Unified Language Model, is an advanced pre-trained model that integrates both natural language understanding (NLU) and generation (NLG) within a single framework. By utilizing a shared Transformer network with specialized self-attention masks, UniLM effectively performs both tasks without the need for separate models. Its robust architecture supports three pre-training tasks—unidirectional, bidirectional, and sequence-to-sequence prediction—optimizing it for a wide range of language applications like question answering, machine translation, and abstractive summarization. UniLM excels in benchmarks such as GLUE and SQuAD, comparable to BERT-large, while also setting new NLP standards. The model's code and pre-trained versions are available on GitHub, promoting integration into existing NLP systems.