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该论文提出 TIZSKT 框架，将文本作为索引而非可迁移的预测表征，实现零样本跨域知识追踪，在三个公开数据集的留一域实验中取得最优 AUC 与准确率。
EULER is a multi-agent system that explores cross-domain transfers to automatically prove or refute mathematical conjectures, validated with stress tests and evaluated on 120 recent conjectures, producing proofs, refutations, and partial results.
This research investigates whether fine-tuning large language models on cultural data improves figurative language understanding and vice versa, finding that while poetry fine-tuning enhances idiom comprehension, cultural fine-tuning can reduce proverb accuracy, highlighting a non-straightforward relationship.