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标题为英语Conditional Generation of Creative Chess Puzzles with Diffusion Models

While modern language models demonstrate impressive generative capabilities, they often struggle with constrained, counter-intuitive creative tasks. To address this limitation, we explore chess puzzle generation as a rigorous testbed for computational creativity and reasoning, a…

arXiv — cs.AI作者: Aatu Selkee, Severi Rissanen, Xidong Feng, Tom Zahavy, Eric Malmi2026年10月1日 (10月1日)
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  • While modern language models demonstrate impressive generative capabilities, they often struggle with constrained, counter-intuitive creative tasks
  • To address this limitation, we explore chess puzzle generation as a rigorous testbed for computational creativity and reasoning, a…
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Conditional Generation of Creative Chess Puzzles with Diffusion Models

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