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Collections including paper arxiv:2309.15217

A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Paper • 2410.12837 • Published Oct 3, 2024 • 1
A Survey on Retrieval-Augmented Text Generation for Large Language Models

Paper • 2404.10981 • Published Apr 17, 2024 • 1
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models

Paper • 2501.13958 • Published Jan 21, 2025 • 1
Graph Retrieval-Augmented Generation: A Survey

Paper • 2408.08921 • Published Aug 15, 2024 • 4

RAGAS: Automated Evaluation of Retrieval Augmented Generation

Paper • 2309.15217 • Published Sep 26, 2023 • 6

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering

Paper • 2408.04259 • Published Aug 8, 2024 • 2
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction

Paper • 2408.04948 • Published Aug 9, 2024 • 1
Graph Retrieval-Augmented Generation: A Survey

Paper • 2408.08921 • Published Aug 15, 2024 • 4
Writing in the Margins: Better Inference Pattern for Long Context Retrieval

Paper • 2408.14906 • Published Aug 27, 2024 • 144

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 15
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Paper • 2401.08406 • Published Jan 16, 2024 • 123
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Paper • 2104.08663 • Published Apr 17, 2021 • 5
Precise Zero-Shot Dense Retrieval without Relevance Labels

Paper • 2212.10496 • Published Dec 20, 2022 • 6

WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia

Paper • 2305.14292 • Published May 23, 2023
Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge Gaps

Paper • 2312.07796 • Published Dec 12, 2023
RAGAS: Automated Evaluation of Retrieval Augmented Generation

Paper • 2309.15217 • Published Sep 26, 2023 • 6
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering

Paper • 2210.02627 • Published Oct 6, 2022

LLM Quality & Degradation Monitoring

LLM degradation detection, hallucination research, probe-based testing, model collapse, quality monitoring tools.

Sleeping

Agents

1

NerfStatus: HF Inference Monitor

📊

1
meta-llama/Llama-3.2-3B-Instruct

Text Generation • 3B • Updated Oct 24, 2024 • 1.84M • • 2.63k
microsoft/Phi-3-mini-4k-instruct

Text Generation • 4B • Updated Dec 10, 2025 • 407k • • 1.46k
Qwen/Qwen2.5-3B-Instruct

Text Generation • 3B • Updated Sep 25, 2024 • 4.75M • • 572

Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering

Paper • 2412.20927 • Published Dec 30, 2024 • 1
BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Paper • 2408.01107 • Published Aug 2, 2024
Developing Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience Report

Paper • 2410.15944 • Published Oct 21, 2024
Tuning LLMs by RAG Principles: Towards LLM-native Memory

Paper • 2503.16071 • Published Mar 20, 2025

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 79
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models

Paper • 2308.10633 • Published Aug 21, 2023 • 1
RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Paper • 2310.01352 • Published Oct 2, 2023 • 7
RAGAS: Automated Evaluation of Retrieval Augmented Generation

Paper • 2309.15217 • Published Sep 26, 2023 • 6

LLM System Evaluations Papers

A collection of recent papers on NLG evaluations, very applicable to components of LLM systems.

Can Large Language Models Be an Alternative to Human Evaluations?

Paper • 2305.01937 • Published May 3, 2023 • 3
Decontextualization: Making Sentences Stand-Alone

Paper • 2102.05169 • Published Feb 9, 2021
RARR: Researching and Revising What Language Models Say, Using Language Models

Paper • 2210.08726 • Published Oct 17, 2022 • 1
SummEval: Re-evaluating Summarization Evaluation

Paper • 2007.12626 • Published Jul 24, 2020

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Paper • 2310.01352 • Published Oct 2, 2023 • 7
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 79
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models

Paper • 2308.07922 • Published Aug 15, 2023 • 19
Retrieval-Generation Synergy Augmented Large Language Models

Paper • 2310.05149 • Published Oct 8, 2023 • 1

A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Paper • 2410.12837 • Published Oct 3, 2024 • 1
A Survey on Retrieval-Augmented Text Generation for Large Language Models

Paper • 2404.10981 • Published Apr 17, 2024 • 1
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models

Paper • 2501.13958 • Published Jan 21, 2025 • 1
Graph Retrieval-Augmented Generation: A Survey

Paper • 2408.08921 • Published Aug 15, 2024 • 4

LLM Quality & Degradation Monitoring

LLM degradation detection, hallucination research, probe-based testing, model collapse, quality monitoring tools.

Sleeping

Agents

1

NerfStatus: HF Inference Monitor

📊

1
meta-llama/Llama-3.2-3B-Instruct

Text Generation • 3B • Updated Oct 24, 2024 • 1.84M • • 2.63k
microsoft/Phi-3-mini-4k-instruct

Text Generation • 4B • Updated Dec 10, 2025 • 407k • • 1.46k
Qwen/Qwen2.5-3B-Instruct

Text Generation • 3B • Updated Sep 25, 2024 • 4.75M • • 572

RAGAS: Automated Evaluation of Retrieval Augmented Generation

Paper • 2309.15217 • Published Sep 26, 2023 • 6

Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering

Paper • 2412.20927 • Published Dec 30, 2024 • 1
BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Paper • 2408.01107 • Published Aug 2, 2024
Developing Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience Report

Paper • 2410.15944 • Published Oct 21, 2024
Tuning LLMs by RAG Principles: Towards LLM-native Memory

Paper • 2503.16071 • Published Mar 20, 2025

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering

Paper • 2408.04259 • Published Aug 8, 2024 • 2
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction

Paper • 2408.04948 • Published Aug 9, 2024 • 1
Graph Retrieval-Augmented Generation: A Survey

Paper • 2408.08921 • Published Aug 15, 2024 • 4
Writing in the Margins: Better Inference Pattern for Long Context Retrieval

Paper • 2408.14906 • Published Aug 27, 2024 • 144

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 79
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models

Paper • 2308.10633 • Published Aug 21, 2023 • 1
RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Paper • 2310.01352 • Published Oct 2, 2023 • 7
RAGAS: Automated Evaluation of Retrieval Augmented Generation

Paper • 2309.15217 • Published Sep 26, 2023 • 6

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 15
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Paper • 2401.08406 • Published Jan 16, 2024 • 123
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Paper • 2104.08663 • Published Apr 17, 2021 • 5
Precise Zero-Shot Dense Retrieval without Relevance Labels

Paper • 2212.10496 • Published Dec 20, 2022 • 6

LLM System Evaluations Papers

A collection of recent papers on NLG evaluations, very applicable to components of LLM systems.

Can Large Language Models Be an Alternative to Human Evaluations?

Paper • 2305.01937 • Published May 3, 2023 • 3
Decontextualization: Making Sentences Stand-Alone

Paper • 2102.05169 • Published Feb 9, 2021
RARR: Researching and Revising What Language Models Say, Using Language Models

Paper • 2210.08726 • Published Oct 17, 2022 • 1
SummEval: Re-evaluating Summarization Evaluation

Paper • 2007.12626 • Published Jul 24, 2020

WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia

Paper • 2305.14292 • Published May 23, 2023
Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge Gaps

Paper • 2312.07796 • Published Dec 12, 2023
RAGAS: Automated Evaluation of Retrieval Augmented Generation

Paper • 2309.15217 • Published Sep 26, 2023 • 6
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering

Paper • 2210.02627 • Published Oct 6, 2022

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Paper • 2310.01352 • Published Oct 2, 2023 • 7
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 79
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models

Paper • 2308.07922 • Published Aug 15, 2023 • 19
Retrieval-Generation Synergy Augmented Large Language Models

Paper • 2310.05149 • Published Oct 8, 2023 • 1

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