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
Human-Centered Programming: The Design of a Robotic Process Automation Language
Piotr Gago, Anna Voitenkova, Daniel Jabłonski, Ihor Debelyi, Kinga Skorupska, Maciej Grzeszczuk, Wiesław Kopeć
Multilingual Mathematical Autoformalization
Albert Q. Jiang, Wenda Li, Mateja Jamnik
Are Words Enough? On the semantic conditioning of affective music generation
Jorge Forero, Gilberto Bernardes, Mónica Mendes
REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots
Andrea Tagliabue, Kota Kondo, Tong Zhao, Mason Peterson, Claudius T. Tewari, Jonathan P. How
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
Hussein Mozannar, Jimin J Lee, Dennis Wei, Prasanna Sattigeri, Subhro Das, David Sontag