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cs.AI2025
Cognitive BASIC: An In-Model Interpreted Reasoning Language for LLMs
Oliver Kramer
Cognitive BASIC is a minimal, BASIC-style prompting language and in-model interpreter that structures large language model (LLM) reasoning into explicit, stepwise execution traces.…
cs.CL2025
Cognitive Prompts Using Guilford's Structure of Intellect Model
Oliver Kramer
Large language models (LLMs) demonstrate strong language generation capabilities but often struggle with structured reasoning, leading to inconsistent or suboptimal problem-solving…
cs.CL2025
Conceptual Metaphor Theory as a Prompting Paradigm for Large Language Models
Oliver Kramer
We introduce Conceptual Metaphor Theory (CMT) as a framework for enhancing large language models (LLMs) through cognitive prompting in complex reasoning tasks. CMT leverages metaph…