{
  "id": 1138,
  "url": "https://arxiv.org/abs/2606.12392v1",
  "title": "System Report for CCL25-Eval Task 5: New Dataset and LoRA-Fine-Tuned Qwen2.5",
  "summary": "Recently, large language models (LLMs) have achieved promising progress in the fields of classical Chinese translation and the generation of classical poetry. However, domain-specific research on precise translation and affective-semantic understanding of classical poetry remains limited. The main challenge is that most studies treat the poetic appreciation task as a general-domain problem, neglecting the distinctive features of poetic appreciation, while high-quality and domain-specific dataset",
  "authors": "Haotao Xie",
  "category": "research",
  "topics": null,
  "orgs": null,
  "regions": "china",
  "published_at": "2026-06-10T17:54:32.000Z",
  "fetched_at": "2026-07-14T14:15:03.615Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1138",
  "original_url": "https://arxiv.org/abs/2606.12392v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}