Similarity is Not All You Need: Endowing Retrieval Augmented Generation
with Multi Layered Thoughts
Paper
•
2405.19893
•
Published
•
33
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
•
74
On the Theoretical Limitations of Embedding-Based Retrieval
Paper
•
2508.21038
•
Published
•
20
RAG-Anything: All-in-One RAG Framework
Paper
•
2510.12323
•
Published
•
54