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Relations (1)
related 2.00 — strongly supporting 3 facts
Reasoning and understanding are linked as complementary cognitive faculties in Kantian philosophy [1] and are both identified as key capabilities enhanced by the integration of Large Language Models and Knowledge Graphs [2]. Furthermore, both are considered potential emergent properties of large language models in contemporary research [3].
Facts (3)
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Rationalism Vs. Empiricism 101: Which One is Right? - TheCollector thecollector.com 1 fact
claimImmanuel Kant posits that human cognition relies on two essential powers: perceiving (sensibility) and understanding (reasoning), and that knowledge is impossible without both faculties.
A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com 1 fact
claimIn a synergized framework, Large Language Models use structured knowledge from Knowledge Graphs to improve reasoning and understanding, while Knowledge Graphs utilize the language production and contextual capabilities of Large Language Models.
Understanding LLM Understanding skywritingspress.ca 1 fact
perspectiveSome researchers argue that reasoning, understanding, and other human-like capacities may be emergent properties of large language models.