title: Benchmarking Temporal Reasoning and Alignment Across Chinese Dynasties
summary: Temporal reasoning is fundamental to human cognition and is crucial for
  various real-world applications. While recent advances in Large Language Models
  have demonstrated promising capabilities in temporal reasoning, existing
  benchmarks primarily rely on rule-based construction, lack contextual depth,
  and involve a limited range of temporal entities. To address these limitations,
  we introduce Chinese Time Reasoning (CTM), a benchmark designed to evaluate
  LLMs on temporal reasoning within the extensive scope of Chinese dynastic
  chronology. CTM emphasizes cross-entity relationships, pairwise temporal
  alignment, and contextualized and culturally-grounded reasoning, providing a
  comprehensive evaluation. Extensive experimental results reveal the challenges
  posed by CTM and highlight potential avenues for improvement.
paper_authors._id: 67bd3d6b60186d7478467208
paper_authors.name: Zhenglin Wang
paper_authors.status: claimed_verified
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paper_authors.fullname: Zhenglin Wang
paper_authors.type: user
paper_authors.user: wzl0228
paper_authors._id: 67bd3d6b60186d7478467209
paper_authors.name: Jialong Wu
paper_authors.status: claimed_verified
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paper_authors.fullname: Jialong Wu
paper_authors.type: user
paper_authors.user: callanwu
paper_authors._id: 67bd3d6b60186d747846720a
paper_authors.name: Pengfei LI
paper_authors._id: 67bd3d6b60186d747846720b
paper_authors.name: Yong Jiang
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-02-25T16:29:23.380Z
paper_authors._id: 678ddd806aa55e76bfffb953
paper_authors.avatarUrl: /avatars/f447936c286a6a2d2874a760210b2f17.svg
paper_authors.fullname: Yong Jiang
paper_authors.type: user
paper_authors.user: yongjiangNLP
paper_authors._id: 67bd3d6b60186d747846720c
paper_authors.name: Deyu Zhou
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-02-25T16:29:35.320Z
paper_authors._id: 64e821f2bddc5b1072b15c2e
paper_authors.avatarUrl: /avatars/618b5a48f2fa62daff4e1922a9aa9e8b.svg
paper_authors.fullname: zhoudeyu
paper_authors.type: user
paper_authors.user: zhoudeyu
paper_title: Benchmarking Temporal Reasoning and Alignment Across Chinese Dynasties
paper_summary: Temporal reasoning is fundamental to human cognition and is crucial for
  various real-world applications. While recent advances in Large Language Models
  have demonstrated promising capabilities in temporal reasoning, existing
  benchmarks primarily rely on rule-based construction, lack contextual depth,
  and involve a limited range of temporal entities. To address these limitations,
  we introduce Chinese Time Reasoning (CTM), a benchmark designed to evaluate
  LLMs on temporal reasoning within the extensive scope of Chinese dynastic
  chronology. CTM emphasizes cross-entity relationships, pairwise temporal
  alignment, and contextualized and culturally-grounded reasoning, providing a
  comprehensive evaluation. Extensive experimental results reveal the challenges
  posed by CTM and highlight potential avenues for improvement.
paper_ai_keywords: Temporal reasoning Large Language Models rule-based construction contextual depth temporal entities Chinese Time Reasoning (CTM) cross-entity relationships pairwise temporal alignment contextualized and culturally-grounded reasoning