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📝 深度技术 arXiv 机器学习 2026-07-29

Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation

KDD'26前沿论文：锐度感知模型合并结合显著性恢复，突破LLM跨域顺序推荐性能瓶颈。

arXiv:2607.25366v1 Announce Type: cross Abstract: LLM-based Cross-Domain Sequential Recommendation (CDSR) leverages LLMs to enhance target performance…

llm 模型合并跨领域推荐序列推荐锐度感知

🤖 AI·大模型 arXiv 机器学习 2026-06-10

Generative Archetype-Grounded Item Representations for Sequential Recommendation

用生成式原型增强项目表示，解决序列推荐中静态编码局限，提升预测精度。

arXiv:2606.11023v1 Announce Type: cross Abstract: Sequential recommendation aims to predict users' next interaction with items by analyzing their hist…

序列推荐生成式原型项目表示大语言模型语义表示

📝 深度技术 arXiv AI 2026-05-19

LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training

提出LLM-EDT框架，用大语言模型融入双阶段训练攻克跨域序列推荐中的不平衡与转换难题

arXiv:2511.19931v2 Announce Type: replace-cross Abstract: Cross-domain Sequential Recommendation (CDSR) has been proposed to enrich user-item interact…

大语言模型跨域推荐序列推荐双阶段训练信息检索

📅 日期

2026-05-20 2026-05-19

🐂 牛哥精选

Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation

Generative Archetype-Grounded Item Representations for Sequential Recommendation

LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training

📅 日期