2 papers
cs.AI2026
Ontology-Grounded, Reasoner-Verified Benchmarks for Evaluating LLM Reasoning in Scientific AI
Nishtha N. Vaidya, Stephan Grimm, Thomas Hubauer +1
Large language models (LLMs) increasingly underpin scientific AI applications that reason over structured knowledge, from biomedical question answering to materials informatics. Ho…
cs.CL2024
Conceptual In-Context Learning and Chain of Concepts: Solving Complex Conceptual Problems Using Large Language Models
Nishtha N. Vaidya, Thomas Runkler, Thomas Hubauer +2
Science and engineering problems fall in the category of complex conceptual problems that require specific conceptual information (CI) like math/logic -related know-how, process in…