ABOUT KEML
KEML - Knowledge Enhanced Machine Learning: We are a research group at the Center for Artificial Intelligence (C4AI) at the Universidade de São Paulo, with researchers working in machine learning, logical reasoning, and knowledge representation. The goal of this research group has been to merge data-driven learning with knowledge-based reasoning. Although the field of Artificial Intelligence is now highly successful due to innovations in machine learning, more attention should be given to reasoning with formal guarantees. The group's research has led to the development of a conversational agent that combines multiple sources of information about the ocean, used in both web-based and robot-based interfaces. Currently, significant effort is dedicated to evaluating language models and their synergy with prompt engineering to ensure factuality guarantees. The team also investigates neurosymbolic combinations of probabilistic programming and artificial neural networks for automated reasoning.
PROJECTS
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Conversational agents
Conversational agents are perhaps the main application for a language model ...
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Evaluation of large language models
The rapid evolution of large language models and their evident competence ...
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Argument mining
One of the traits of rational behavior is the ability to provide justifications ...
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Neuro-symbolic probabilistic logical programs
In recent decades, we have been repeatedly surprised by the performance ...
RESOURCES
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Corpora
The corpora created by the KEML team are composed primarily of texts in Portuguese.
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Datasets
Machine learning cannot be done without datasets.
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Models
The models we created in our work are described in this area.
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Knowledge graphs and ontologies
Knowledge and machine learning together is our goal.
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Frameworks
Over the years, we have directed some of our efforts into frameworks.
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Codes
For the sake of reproducibility.