MLNLP is a well-known machine learning and natural language processing community in China and abroad, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for the progress of … Read more
This article is reprinted from: Xi Xiaoyao Technology Talk Xi Xiaoyao Technology Talk Original Author | Xie Nian Nian Recently, the open-source model Llama3.1 went live, and its 405B model surprisingly surpassed the closed-source GPT-4o, becoming the most powerful model overnight! However, the top position was not warm for long. Just one day later, the … Read more
Article Title: Automatic Scoring System for Subjective Questions Based on Siamese Network and BERT Model All Authors: Qian Shenghua First Institution: Beijing Normal University, School of Artificial Intelligence Publication Date: 2022, 31(3): 143–149 Abstract Summary Due to the current lack of automatic scoring for subjective questions in multilingual education, this paper proposes an automatic scoring … Read more
Source: Algorithm Advancement This article is approximately 8900 words long and is recommended to be read in 9 minutes. This article comprehensively introduces evaluation methods for large language models. Since the introduction of the Transformer model in 2017, research in natural language processing has gradually shifted towards pre-trained models based on this framework, such as … Read more
Introduction to the Paper Despite the increasing applications of prompt learning methods in various few-shot natural language processing tasks, designing templates and label mappings in prompt learning is quite challenging, requiring a deep understanding of the model and classification tasks, along with extensive trial and error. Existing methods for automating label mapping design, while saving … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university teachers, and industry researchers. The Vision of the Community is to promote communication and progress between academia, industry, and enthusiasts in the field of natural language processing and machine learning, especially for beginners. Reprinted … Read more
Nowadays, using large models with provided interfaces, prompts have become indispensable. They can generate document templates based on specified formats; generate summaries with different focuses; check written documents for typos and grammatical issues; help us read long texts and extract the content we care about; and even when automatically answering customer questions, prompts can guide … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and researchers in enterprises. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for the … Read more
Language models represented by ChatGPT have been popular for some time. People have shifted from “how to use” to “how to make it more useful”. In June, OpenAI’s ChatGPT saw a global traffic decline of 10%, marking the first drop in traffic since its launch, indicating that many people may not have integrated it into … Read more
Source: AI Intelligent Creation Applications Today, as technology continues to advance, artificial intelligence has taken a key position in our daily lives. Especially in the field of education, artificial intelligence demonstrates enormous empowering potential. The eight major AI models: Wenxin Yiyan, iFlytek Spark, Tongyi Qianwen, Tiangong AI, Baichuan AI, Doubao AI, GPT-4O, and SenseTime AI … Read more