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Dec 15, 2024
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Collections including paper arxiv:2312.10997
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Apr 19, 2024
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Feb 22, 2024
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Jan 9, 2024
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Mar 5, 2025
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 79 -
REST: Retrieval-Based Speculative Decoding
Paper • 2311.08252 • Published -
Active Retrieval Augmented Generation
Paper • 2305.06983 • Published • 3 -
Retrieval-Augmented Generation for Large Language Models: A Survey
Paper • 2312.10997 • Published • 12
Collection by 
Oct 28, 2024
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Searching for Best Practices in Retrieval-Augmented Generation
Paper • 2407.01219 • Published • 11 -
Retrieval-Augmented Generation for Large Language Models: A Survey
Paper • 2312.10997 • Published • 12 -
The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs
Paper • 2406.10251 • Published
Collection by 
Apr 17, 2024
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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 14 -
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 38 -
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Paper • 2104.08663 • Published • 3 -
Precise Zero-Shot Dense Retrieval without Relevance Labels
Paper • 2212.10496 • Published • 5
Collection by Jan 9, 2024
Collection by 
Jun 27, 2024
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Dense X Retrieval: What Retrieval Granularity Should We Use?
Paper • 2312.06648 • Published • 1 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 82 -
Text Embeddings Reveal (Almost) As Much As Text
Paper • 2310.06816 • Published • 1 -
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 38
Collection by 
Dec 21, 2024
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Context Tuning for Retrieval Augmented Generation
Paper • 2312.05708 • Published • 16 -
Dense X Retrieval: What Retrieval Granularity Should We Use?
Paper • 2312.06648 • Published • 1 -
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Paper • 2401.18059 • Published • 48 -
Retrieval-Augmented Generation for Large Language Models: A Survey
Paper • 2312.10997 • Published • 12
Collection by Dec 15, 2024
Collection by Oct 28, 2024
-
Searching for Best Practices in Retrieval-Augmented Generation
Paper • 2407.01219 • Published • 11 -
Retrieval-Augmented Generation for Large Language Models: A Survey
Paper • 2312.10997 • Published • 12 -
The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs
Paper • 2406.10251 • Published
Collection by Apr 19, 2024
Collection by Apr 17, 2024
-
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 14 -
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 38 -
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Paper • 2104.08663 • Published • 3 -
Precise Zero-Shot Dense Retrieval without Relevance Labels
Paper • 2212.10496 • Published • 5
Collection by Feb 22, 2024
Collection by Jan 9, 2024
Collection by Jan 9, 2024
Collection by Jun 27, 2024
-
Dense X Retrieval: What Retrieval Granularity Should We Use?
Paper • 2312.06648 • Published • 1 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 82 -
Text Embeddings Reveal (Almost) As Much As Text
Paper • 2310.06816 • Published • 1 -
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 38
Collection by Mar 5, 2025
-
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 79 -
REST: Retrieval-Based Speculative Decoding
Paper • 2311.08252 • Published -
Active Retrieval Augmented Generation
Paper • 2305.06983 • Published • 3 -
Retrieval-Augmented Generation for Large Language Models: A Survey
Paper • 2312.10997 • Published • 12
Collection by Dec 21, 2024
-
Context Tuning for Retrieval Augmented Generation
Paper • 2312.05708 • Published • 16 -
Dense X Retrieval: What Retrieval Granularity Should We Use?
Paper • 2312.06648 • Published • 1 -
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Paper • 2401.18059 • Published • 48 -
Retrieval-Augmented Generation for Large Language Models: A Survey
Paper • 2312.10997 • Published • 12