新闻
THEATRON: A Benchmark for Evaluating Persona Persistence in Long-Horizon LLM Decision-Making
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- THEATRON benchmark tests whether large language models maintain consistent personas during extended financial decision-making tasks over multi-month simulations.
- 为何重要
- Matters for engineers building LLM agents that need stable behavioral profiles across long sequences of decisions in production systems.
- 注意
- Models show persona-induced behavior shifts but lack coherent, persistent policies; apparent separation can mask stereotyped action collapse rather than genuine understanding.
- llm
- eval
- benchmark
- long-horizon
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