A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Ştefan Popenici, Sharon Kerr
This paper explores the emergence of AI in higher education, examining its impact on teaching, learning, and institutional evolution.
Arindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.
Orca 2 demonstrates that small language models can be taught to reason effectively by learning from the reasoning traces of larger models.
Unknown
This paper explores methods to transfer chain-of-thought reasoning capabilities from large to small language models via knowledge distillation.
Eduardo Mosqueira-Rey, Elena Hernández-Pereira, David Alonso-Ríos, et al.
This paper reviews human-in-the-loop machine learning, clarifying definitions and boundaries between active learning, interactive ML, machine teaching, curriculum learning, and explainable AI.
Tony Bates, Cristóbal Cobo, Olga Mariño, et al.
This editorial examines the aspirational goals versus the actual impact of AI on teaching and learning in higher education as of the early 2020s.
Marc Alier, Francisco José García‐Peñalvo, Jorge D. Camba
This paper explores the management, ethical considerations, and opportunities of integrating Generative AI in education, emphasizing its potential to augment teaching and assessment while addressing academic integrity challenges.