Knowing the Rules, Applying the Rules: Evaluating Language Models on Traditional Chinese Bazi

cs.CL, cs.AI

Submitted: 2026-10-05

Updated: 2026-10-05

Comments: 16 pages, including references and appendices. Project page: https://monsterpppp.github.io/bazi-qa-benchmark/

Project page: https://monsterpppp.github.io/bazi-qa-benchmark

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
• Measuring Massive Multitask Language Understanding
• C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
• Let's Verify Step by Step
• GPQA: A Graduate-Level Google-Proof Q&A Benchmark
• Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
• Self-Consistency Improves Chain of Thought Reasoning in Language Models
• Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
• BaZi-Based Character Simulation Benchmark: Evaluating AI on Temporal and Persona Reasoning

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering