{"total":17,"rows":[{"id":"2208.03299","title":"Atlas: Few-shot Learning with Retrieval Augmented Language Models","created":"2022-08-05","cited_by_count":952,"area":"rag"},{"id":"2401.18059","title":"RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval","created":"2024-01-31","cited_by_count":532,"area":"rag"},{"id":"2303.01229","title":"Almanac: Retrieval-Augmented Language Models for Clinical Medicine","created":"2023-03-01","cited_by_count":123,"area":"rag"},{"id":"2306.09224","title":"Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories","created":"2023-06-15","cited_by_count":107,"area":"rag"},{"id":"2304.06762","title":"Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study","created":"2023-04-13","cited_by_count":63,"area":"rag"},{"id":"2310.07713","title":"InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining","created":"2023-10-11","cited_by_count":53,"area":"rag"},{"id":"2407.01178","title":"$\\text{Memory}^3$: Language Modeling with Explicit Memory","created":"2024-07-01","cited_by_count":40,"area":"rag"},{"id":"2310.07589","title":"Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models","created":"2023-10-11","cited_by_count":23,"area":"rag"},{"id":"2310.09949","title":"Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models","created":"2023-10-15","cited_by_count":23,"area":"rag"},{"id":"2305.14625","title":"KNN-LM Does Not Improve Open-ended Text Generation","created":"2023-05-24","cited_by_count":10,"area":"rag"},{"id":"2505.00263","title":"EnronQA: Towards Personalized RAG over Private Documents","created":"2025-05-01","cited_by_count":9,"area":"rag"},{"id":"2305.16243","title":"Surface-Based Retrieval Reduces Perplexity of Retrieval-Augmented Language Models","created":"2023-05-25","cited_by_count":7,"area":"rag"},{"id":"2505.18458","title":"A Survey of LLM $\\times$ DATA","created":"2025-05-24","cited_by_count":4,"area":"rag"},{"id":"2504.08744","title":"ExpertRAG: Efficient RAG with Mixture of Experts -- Optimizing Context Retrieval for Adaptive LLM Responses","created":"2025-03-23","cited_by_count":2,"area":"rag"},{"id":"2312.02532","title":"DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework","created":"2023-12-05","cited_by_count":1,"area":"rag"},{"id":"2510.17934","title":"AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM","created":"2025-10-20","cited_by_count":1,"area":"rag"},{"id":"2410.00004","title":"Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization","created":"2024-09-12","cited_by_count":0,"area":"rag"}],"next_cursor":null}