System Report for CCL25-Eval Task 5: New Dataset and LoRA-Fine-Tuned Qwen2.5
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
Record details
Published: 10 June 2026
Source: arXiv
Category: Research
Topics: unclassified
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (10 June 2026), “System Report for CCL25-Eval Task 5: New Dataset and LoRA-Fine-Tuned Qwen2.5,” evidence record 1138, https://ethics.ai/record/1138 (originally published by arXiv).
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