From data to decisions: maximizing rewards with policy improvement methods for optimal strategiesReinforcement learning is a domain in machine learning ...
Large Language Models (LLMs) are fundamental to modern ai applications and provide the computational intellect needed to understand and generate ...
Datasets that combine knowledge graphs (KG) and text (KG-T) can be used to train forward and inverse neural models that ...
New teachers have varied experiences as they navigate their first years of full-time teaching. Some may have completed traditional teacher ...
The Council of Administrators of Special Education (CASE) has re-endorsed Classworks® for three additional years. The CASE Executive Committee designated ...
The study differs from previous approaches by focusing on aligning long context, specifically adjusting language models to interpret long user ...
Evaluating LLMs as versatile agents is crucial for their integration into practical applications. However, existing evaluation frameworks face challenges in ...
Large Language Models (LLM) have recently gained a lot of recognition from the artificial intelligence (ai) community. These models have ...
A team of researchers at the University of Michigan advocates for the development of new benchmarks and assessment protocols to ...
In engineering design, reliance on deep generative models (DGMs) has increased in recent years. However, evaluation of these models has ...
