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Publications about AI methods and applications.
Research paper by Kai Hua and collaborators. Published 2025-05-12. Topics: LLMs, complex reasoning ability, supervised classifiers, domain-specific biases, attention heads.
Background: Advances in artificial intelligence, particularly large language models (LLMs), have the potential to enhance technical expertise in magnetic resonance imaging (MRI), regardless of operator skill or geographic location. Methods: We assessed the accuracy of several LLMs in answering 570 technical MRI questions derived from a standardized review book. The questions spanned nine MRI topics, including Basic Principles, Image Production, and Safety. Closed-source models (e.g., OpenAI's o1 Preview, GPT-4o, GPT-4 Turbo, and Claude 3.5 Haiku) and open-source models (e.g., Phi 3.5 Mini, Llama 3.1, smolLM2) were tested. Models were queried
Research paper by Orion Weller and collaborators. Published 2025-07-15. Topics: large language model, decoder-only language models, encoder-only models, classification, retrieval.
Research paper by Loubna Ben Allal and collaborators. Published 2025-02-04. Topics: large language models, small language models, overtraining, dataset mixing, FineMath.
Research paper by Akhil Jindal and collaborators. arXiv record dated 2026-05-27. Research area: Machine learning.
Research paper by Sultan Alrashed. Published 2024-12-11. Topics: instruction-tuned, SmolTulu-DPO-1130, SmolLM2-1.7B, learning rate, batch size.
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