3 papers
cs.LG2026
The Speed-up Factor: A Quantitative Multi-Iteration Active Learning Performance Metric
Hannes Kath, Thiago S. Gouvêa, Daniel Sonntag
Machine learning models excel with abundant annotated data, but annotation is often costly and time-intensive. Active learning (AL) aims to improve the performance-to-annotation ra…
cs.CL2024
Enhancing Journalism with AI: A Study of Contextualized Image Captioning for News Articles using LLMs and LMMs
Aliki Anagnostopoulou, Thiago Gouvea, Daniel Sonntag
Large language models (LLMs) and large multimodal models (LMMs) have significantly impacted the AI community, industry, and various economic sectors. In journalism, integrating AI…
cs.LG2024
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)
Daniel Sonntag, Michael Barz, Thiago Gouvêa
This DFKI technical report presents the anatomy of the No-IDLE prototype system (funded by the German Federal Ministry of Education and Research) that provides not only basic and f…