The ballad of LLM agents: philosophical reasoning for chemistry
Large language models (LLMs) show remarkable potential for scientific reasoning but often produce unreliable or scientifically unactionable outputs when faced with multi-step logic, domain grounding, and interpretability challenges, especially in complex fields like chemistry and materials science....
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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IOP Publishing
2026-01-01
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| Col·lecció: | Machine Learning: Science and Technology |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1088/2632-2153/ae792d |
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