(Leonardo Filipe Rodrigues Ribeiro)
I'm a Senior Applied Scientist on Amazon AGI, where I focus on building and refining robust Large Language and Multimodal Foundation Models. My work centers on large-scale training solutions to enhance reasoning capabilities, model performance, and user alignment across a wide range of tasks. My research interests lie in various areas of controllable text generation, summarization and knowledge-intensive NLP tasks such as (multi-modal) Retrieval Augmented Generation (RAG). I hold a PhD in Computer Science from the UKP Lab at the Technical University of Darmstadt, where I was advised by Iryna Gurevych.
My work has been published in top-tier AI conferences such as ACL, EMNLP, NAACL, and KDD. I actively contribute to the research community, serving as a Senior Area Chair for NAACL 2025, Tutorial Chair for ACL 2024, and Area Chair for EACL 2024, NAACL 2024, ACL 2024, EMNLP 2024, COLING 2022, and ARR.