src-wang-2024-text-world-simulators source
Can Language Models Serve as Text-Based World Simulators?
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ByteSized32-State-Prediction: 76,369 transitions from 31 text games. GPT-4 whole-state accuracy at most 59.9%; action-driven up to 77.1%; environment-driven at most 49.7%; humans about 80% on a subset where GPT-4 averaged about 50%. Failures in arithmetic, common sense, scientific knowledge.
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2 recordsLLM explanation of simulation state, LLM-adjudicated state transitions (LLM as game mechanic)