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
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
PuoBERTa: Training and evaluation of a curated language model for Setswana
Vukosi Marivate, Moseli Mots'Oehli, Valencia Wagner, Richard Lastrucci, Isheanesu Dzingirai
"Im not Racist but...": Discovering Bias in the Internal Knowledge of Large Language Models
Abel Salinas, Louis Penafiel, Robert McCormack, Fred Morstatter