Uncertainty quantification by large language models
As reasoning capabilities of large language models (LLMs) continue to advance, they are being integrated into increasingly complex scientific workflows, with the goal of developing agents capable of generating evidence-based explanations and testing hypotheses and theories. However, despite their ra...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2025-12-01
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| Серія: | Machine Learning with Applications |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2666827025001562 |
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