Large language models (LLMs) have emerged as strong contenders in machine translation. Yet, they often fall behind specialized neural machine translation systems in addressing discourse phenomena, such as pronoun resolution and lexical cohesion at the document level. In the seminar, … Read More
Welcome to Priberam Labs
We think, execute and enjoy. Discover all the power of Priberam Labs.
What are the Priberam Labs
When developing our products, we often find challenges which are unanswered by current scientific knowledge. This is where the Priberam Labs come into play! We look beyond the current state of technology and try to build the foundations for the future.
Our approach
Machine Learning and Natural Language Processing
Our research team conducts applied and exploratory research in the areas of machine learning and natural language processing. Every day, we deal with challenging and stimulating problems, and use our creativity to design systems that learn from the data.
Our Goals Are
To push the boundaries of scientific knowledge
Transfer all our knowledge and investigation to our products.
Discover the Latest Seminars
Fair Federated Learning under Group-Specific Distributed Concept Drift
Machine learning models can become unfair when different groups experience changes in data over time, a phenomenon called group-specific concept drift. This challenge is amplified in Federated Learning, where clients may encounter different drifts while training a shared model. This … Read More
Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding
Large language models (LLMs) have emerged as strong contenders in machine translation. Yet, they often fall behind specialized neural machine translation systems in addressing discourse phenomena, such as pronoun resolution and lexical cohesion at the document level. In the seminar, … Read More