Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts
Paper
• 2405.19893 • Published
• 33
RAG
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From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries
Paper • 2406.12824 • Published • 21 -
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
Paper • 2406.15319 • Published • 64 -
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems
Paper • 2406.14972 • Published • 7 -
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
Paper • 2408.12060 • Published • 6 -
RARe: Retrieval Augmented Retrieval with In-Context Examples
Paper • 2410.20088 • Published • 4 -
Zero-Shot Dense Retrieval with Embeddings from Relevance Feedback
Paper • 2410.21242 • Published • 7 -
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation
Paper • 2412.02592 • Published • 24 -
Multi-task retriever fine-tuning for domain-specific and efficient RAG
Paper • 2501.04652 • Published • 10 -
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models
Paper • 2502.01142 • Published • 24 -
Hypencoder: Hypernetworks for Information Retrieval
Paper • 2502.05364 • Published • 10 -
ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning
Paper • 2508.10419 • Published • 75 -
On the Theoretical Limitations of Embedding-Based Retrieval
Paper • 2508.21038 • Published • 21 -
RAG-Anything: All-in-One RAG Framework
Paper • 2510.12323 • Published • 66