Abstract: Entity alignment, which aims to identify entities with the same meaning in different Knowledge Graphs (KGs), is a key step in knowledge integration. Despite the promising results achieved by ...

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...

A new framework developed by researchers at Google Cloud and DeepMind aims to address one of the key challenges of developing computer use agents (CUAs): Gathering high-quality training examples at ...

Introduction: The dominant paradigm of generative artificial intelligence (AI) in education positions it as an omniscient oracle, a model that risks hindering genuine learning by fostering cognitive ...

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...

Abstract: Named Entity Recognition (NER) and Relation Extraction (RE) are core tasks in information extraction. Pipeline approaches such as PURE insert special markers around entities to guide ...

GREENSBORO, N.C. (WGHP) — Core Technology Molding Corporation in Greensboro hosted a camp for local students to learn more about careers in science, technology, engineering and mathematics, better ...

Physical learning environments (PLEs)—including classrooms, schools, and networks of facilities—play a critical role in shaping educational outcomes. The World Bank’s RIGHT+ framework offers guidance ...

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...

Foundational learning, which includes basic literacy, numeracy, and socio-emotional skills, is the foundation for a life of learning. They also foster social and emotional growth, cognitive ...