Natural Language
Natural language processing (NLP) focuses on enabling computers to understand, interpret, and generate human language. Current research heavily utilizes large language models (LLMs), such as BERT and others, to tackle diverse tasks including text-to-SQL translation, semantic analysis of images, and even controlling robots via natural language commands. The field's impact spans various sectors, from improving search engines and e-commerce platforms to advancing healthcare diagnostics and facilitating more efficient scientific research through automated literature analysis and data extraction.
Papers
July 22, 2023
July 18, 2023
July 16, 2023
July 15, 2023
July 13, 2023
July 6, 2023
KoRC: Knowledge oriented Reading Comprehension Benchmark for Deep Text Understanding
Zijun Yao, Yantao Liu, Xin Lv, Shulin Cao, Jifan Yu, Lei Hou, Juanzi Li
Enhancing LLM with Evolutionary Fine Tuning for News Summary Generation
Le Xiao, Xiaolin Chen
Strahler Number of Natural Language Sentences in Comparison with Random Trees
Kumiko Tanaka-Ishii, Akira Tanaka
July 5, 2023
July 1, 2023
June 29, 2023
June 28, 2023
June 27, 2023
June 22, 2023
June 21, 2023
June 17, 2023
June 16, 2023
June 8, 2023