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| Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models | Apr 15, 2025 | Autonomous DrivingComputational Efficiency | CodeCode Available | 2 |
| A Survey of Personalization: From RAG to Agent | Apr 14, 2025 | RAGRetrieval | CodeCode Available | 2 |
| HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation | Apr 13, 2025 | Multimodal ReasoningRAG | CodeCode Available | 2 |
| LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking | Apr 10, 2025 | RerankingRetrieval-augmented Generation | CodeCode Available | 2 |
| LARGE: Legal Retrieval Augmented Generation Evaluation Tool | Apr 2, 2025 | RAGRetrieval | CodeCode Available | 2 |
| Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement | Mar 31, 2025 | HallucinationRAG | CodeCode Available | 2 |
| OntoAligner: A Comprehensive Modular and Robust Python Toolkit for Ontology Alignment | Mar 27, 2025 | Retrieval-augmented Generation | CodeCode Available | 2 |
| MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search | Mar 26, 2025 | Decision MakingRAG | CodeCode Available | 2 |
| RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs | Mar 25, 2025 | Abstract generation | CodeCode Available | 2 |
