AI RESEARCH
BiT-MCTS: A Theme-based Bidirectional MCTS Approach to Chinese Fiction Generation
arXiv CS.CL
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ArXi:2603.14410v1 Announce Type: new Generating long-form linear fiction from open-ended themes remains a major challenge for large language models, which frequently fail to guarantee global structure and narrative diversity when using premise-based or linear outlining approaches. We present BiT-MCTS, a theme-driven framework that operationalizes a "climax-first, bidirectional expansion" strategy motivated by Freytag's Pyramid.