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
Measuring Bullshit in the Language Games played by ChatGPT
Alessandro Trevisan, Harry Giddens, Sarah Dillon, Alan F. Blackwell
One to rule them all: natural language to bind communication, perception and action
Simone Colombani, Dimitri Ognibene, Giuseppe Boccignone
Evaluating LLM Prompts for Data Augmentation in Multi-label Classification of Ecological Texts
Anna Glazkova, Olga Zakharova
Assessing the Answerability of Queries in Retrieval-Augmented Code Generation
Geonmin Kim, Jaeyeon Kim, Hancheol Park, Wooksu Shin, Tae-Ho Kim
Enhancing Robustness in Language-Driven Robotics: A Modular Approach to Failure Reduction
Émiland Garrabé, Pierre Teixeira, Mahdi Khoramshahi, Stéphane Doncieux