Custom Fine-Tuned Transformer Outperforms GPT-4 at Spotting Indian Fake News
Researchers in India have built a custom fine-tuned BERT-based framework that outperforms classical machine learning, deep learning baselines, and GPT-3.5 ...
Researchers in India have built a custom fine-tuned BERT-based framework that outperforms classical machine learning, deep learning baselines, and GPT-3.5 ...
A human-AI collaborative workflow developed at Seoul National University Hospital improved SNOMED CT mapping accuracy for bilingual clinical text while ...
A new editorial argues that structured collaboration between generative AI and human educators, not competition, will define the future of ...
A new analysis argues that large language models generate text through automated metaphor, producing texts that orbit their most important ...
Researchers have built a governed framework that pairs large language models with deterministic multi-criteria analysis and human checkpoints to make ...
A new commentary in Frontiers of Digital Education argues that open-weight large language models such as DeepSeek could extend personalized, ...
A new study finds that retrieval-augmented generation significantly degrades large language model accuracy in metallurgical root cause analysis, challenging the ...
A blinded simulation study of five large language models in pediatric difficult airway management reveals model-specific hallucination patterns, universal false ...
A new survey in Artificial Intelligence Review organizes the fast-moving field of retrieval-augmented generation into a four-axis taxonomy spanning efficiency, ...
Researchers at Zhejiang University have developed a model-agnostic framework that uses large language models and the SOLO taxonomy to significantly ...
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© 2025 Scienmag - Science Magazine