关于八个常用的RAG调又方案附论文

🌟1. 可修正的RAG 论文标题：Corrective Retrieval Augmented Generation 🌟2. 通过迭代自反馈从RAG中学习回答和理解 论文标题：RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback 🌟3. 长时距生成中RAG引发的上下文感知推理 论文标题：RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation 🌟4. 用于大语言模型中幻觉抑制的自适应RAG 论文标题：Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models 🌟5. 树型组织检索的递归抽象处理 论文标题：RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval 🌟6. 个性化对话系统的统一多源RAG 论文标题：UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems 🌟7. 将语言模型适应于特定领域的RAG 论文标题：RAFT: Adapting Language Model to Domain Specific RAG 🌟8. 针对非常见知识的微调与RAG对比 论文标题：Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge