ALBERT ALBERT: A Lite BERT for Self-supervised Learning of Language Representations, 2019, Paper UniLM Unified Language Model Pre-training for Natural Language Understanding and Generation, 2019 Paper ELECTRA E
(9)CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark中文LLM评估(10)SUPER-NATURALINSTRUCTIONS: Generalization via Declarative Instructions on 1600+ NLP TasksNATURALINSTRUCTIONS的增强版,堆量的benchmark,也可以看做是一个有大量instruct的数据集(11)GPQA: A Graduate-Level Google-Proof...
In this paper, we introduce the EuroLLM project, aimed at developing a suite of open-weight multilingual LLMs capable of understanding and generating text in all official European Union languages, as well as several additional relevant languages. We outline the progress made to date, detailing ...
【8】BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension 作者： Lewis et al. @facebook Paper:https://arxiv .org/abs/1910.13461 用于自然语言生成、翻译和理解的去噪S2S预训练。如前所述，BERT 类型的编码器风格的 LLM 通常更适合预测建模任务...
The advent of large language models (LLMs) has marked a new era in the transformation of computational social science (CSS). This paper dives into the role of LLMs in CSS, particularly exploring their potential to revolutionize data analysis and content generation and contribute to a broader u...
GPT的核心思想是通过生成式预训练来提升语言理解能力,这一思想在《Improving Language Understanding by Generative Pre-Training》这篇论文中得到了充分的体现和验证。 一、GPT模型简介 GPT是一种基于Transformer架构的大型语言模型,它通过在海量文本数据上进行无监督的预训练,学会了生成连贯的文本。预训练阶段,GPT模型...
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models[15] Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training[16] Flamingo: a Visual Language Model for Few-Shot Learning[17] ...
This innovation has allowed LLMs to scale up in terms of parameters and data, leading to significant improvements in language understanding and generation capabilities. According to Kasneci et al., LLMs are trained on vast corpora of text data, which allows them to capture a wide array of ...
Language understanding and generation. The introduced model surpassed the few-shot performance of prior large models on 28 out of 29 tasks that include question-answering tasks, cloze and sentence-completion tasks, in-context reading comprehension tasks, common-sense reasoning tasks, SuperGLUE tasks, ...
FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs 4 Jul 2024 · Keyu An, Qian Chen, Chong Deng, Zhihao Du, Changfeng Gao, Zhifu Gao, Yue Gu, Ting He, Hangrui Hu, Kai Hu, Shengpeng Ji, Yabin Li, Zerui Li, Heng Lu, ...