SpireBench: Evaluating Long-Horizon Strategic Play of Agentic Models with Slay the Spire
arXiv:2610.12596v1 Announce Type: new Abstract: Agentic large language models now tackle complex tasks, yet strategic reasoning over long horizons is under-studied: most agentic benchmarks are short and episodic, and performance on long tasks is hard to dissect into stored knowledge, reasoning and…
Read the full story at arXiv cs.AI ↗
Timeline · 1 report
- 2026-10-12 04:00 · arXiv cs.AI
SpireBench: Evaluating Long-Horizon Strategic Play of Agentic Models with Slay the Spire