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arXiv — cs.AI

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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…

arXiv — cs.AIBy: Scott C. Lowe, Sander W. KeeminkOctober 12, 2026 (Oct 12)
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  • 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…
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SpireBench: Evaluating Long-Horizon Strategic Play of Agentic Models with Slay the Spire

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