| RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering | Feb 19, 2025 | Decision MakingLanguage Modeling | —Unverified | 0 |
| Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach | Feb 19, 2025 | RAGRetrieval-augmented Generation | —Unverified | 0 |
| Towards Geo-Culturally Grounded LLM Generations | Feb 19, 2025 | Multiple-choiceRetrieval-augmented Generation | —Unverified | 0 |
| DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue | Feb 19, 2025 | Question AnsweringRAG | —Unverified | 0 |
| HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation | Feb 18, 2025 | Logical ReasoningRAG | —Unverified | 0 |
| Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation | Feb 18, 2025 | Multi-Task LearningRAG | —Unverified | 0 |
| Language Models are Few-Shot Graders | Feb 18, 2025 | automatic short answer gradingRAG | —Unverified | 0 |
| SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering? | Feb 18, 2025 | Medical Question AnsweringQuestion Answering | —Unverified | 0 |
| RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models | Feb 18, 2025 | Privacy PreservingRAG | CodeCode Available | 0 |
| Retrieval-augmented systems can be dangerous medical communicators | Feb 18, 2025 | MisconceptionsRetrieval | —Unverified | 0 |
