Tag: Multi-Turn Reasoning

The early benchmarking paradigm for large language models centered on static knowledge retrieval and single-turn semantic generation. Models were evaluated on multiple-choice examinations, reading comprehension questions, and isolated function synthesis. While these tests quantified linguistic fluency and factual recall, they failed to assess agency. A model could answer high-level conceptual questions about Linux permissions or […]