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Adaptive RAG Papers

A compilation of Adaptive RAG Papers

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Paper • 2403.14403 • Published Mar 21, 2024 • 7
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation

Paper • 2406.19215 • Published Jun 27, 2024 • 31
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models

Paper • 2410.01782 • Published Oct 2, 2024 • 10
LLM-Independent Adaptive RAG: Let the Question Speak for Itself

Paper • 2505.04253 • Published May 7 • 13

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering

Paper • 2408.04259 • Published Aug 8, 2024 • 1
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

LLM Hallucination Detection Papers

Collection of LLM hallucination and evaluation papers that I've been exploring and implementing. Some of them have my comments and annotated doodles.

Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation

Paper • 2208.05309 • Published Aug 10, 2022 • 1
LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Paper • 2305.13711 • Published May 23, 2023 • 2
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Paper • 2302.09664 • Published Feb 19, 2023 • 4
BARTScore: Evaluating Generated Text as Text Generation

Paper • 2106.11520 • Published Jun 22, 2021 • 2

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 • 4
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering

Paper • 2210.02627 • Published Oct 6, 2022

Prompting and RAG

Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks

Paper • 2412.15605 • Published Dec 20, 2024 • 2
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 78
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Paper • 2403.14403 • Published Mar 21, 2024 • 7
Compressed Chain of Thought: Efficient Reasoning Through Dense Representations

Paper • 2412.13171 • Published Dec 17, 2024 • 35

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 13
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Paper • 2401.08406 • Published Jan 16, 2024 • 37
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Paper • 2104.08663 • Published Apr 17, 2021 • 3
Precise Zero-Shot Dense Retrieval without Relevance Labels

Paper • 2212.10496 • Published Dec 20, 2022 • 4

PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models

Paper • 2402.08714 • Published Feb 13, 2024 • 15
Data Engineering for Scaling Language Models to 128K Context

Paper • 2402.10171 • Published Feb 15, 2024 • 25
RLVF: Learning from Verbal Feedback without Overgeneralization

Paper • 2402.10893 • Published Feb 16, 2024 • 12
Coercing LLMs to do and reveal (almost) anything

Paper • 2402.14020 • Published Feb 21, 2024 • 13

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval

Paper • 2310.15511 • Published Oct 24, 2023 • 5
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Paper • 2310.13227 • Published Oct 20, 2023 • 14
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning

Paper • 2310.04474 • Published Oct 6, 2023 • 2
AgentTuning: Enabling Generalized Agent Abilities for LLMs

Paper • 2310.12823 • Published Oct 19, 2023 • 36

Adaptive RAG Papers

A compilation of Adaptive RAG Papers

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Paper • 2403.14403 • Published Mar 21, 2024 • 7
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation

Paper • 2406.19215 • Published Jun 27, 2024 • 31
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models

Paper • 2410.01782 • Published Oct 2, 2024 • 10
LLM-Independent Adaptive RAG: Let the Question Speak for Itself

Paper • 2505.04253 • Published May 7 • 13

Prompting and RAG

Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks

Paper • 2412.15605 • Published Dec 20, 2024 • 2
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 78
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Paper • 2403.14403 • Published Mar 21, 2024 • 7
Compressed Chain of Thought: Efficient Reasoning Through Dense Representations

Paper • 2412.13171 • Published Dec 17, 2024 • 35

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering

Paper • 2408.04259 • Published Aug 8, 2024 • 1
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 • 13
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Paper • 2401.08406 • Published Jan 16, 2024 • 37
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Paper • 2104.08663 • Published Apr 17, 2021 • 3
Precise Zero-Shot Dense Retrieval without Relevance Labels

Paper • 2212.10496 • Published Dec 20, 2022 • 4

LLM Hallucination Detection Papers

Collection of LLM hallucination and evaluation papers that I've been exploring and implementing. Some of them have my comments and annotated doodles.

Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation

Paper • 2208.05309 • Published Aug 10, 2022 • 1
LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Paper • 2305.13711 • Published May 23, 2023 • 2
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Paper • 2302.09664 • Published Feb 19, 2023 • 4
BARTScore: Evaluating Generated Text as Text Generation

Paper • 2106.11520 • Published Jun 22, 2021 • 2

PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models

Paper • 2402.08714 • Published Feb 13, 2024 • 15
Data Engineering for Scaling Language Models to 128K Context

Paper • 2402.10171 • Published Feb 15, 2024 • 25
RLVF: Learning from Verbal Feedback without Overgeneralization

Paper • 2402.10893 • Published Feb 16, 2024 • 12
Coercing LLMs to do and reveal (almost) anything

Paper • 2402.14020 • Published Feb 21, 2024 • 13

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 • 4
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering

Paper • 2210.02627 • Published Oct 6, 2022

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval

Paper • 2310.15511 • Published Oct 24, 2023 • 5
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Paper • 2310.13227 • Published Oct 20, 2023 • 14
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning

Paper • 2310.04474 • Published Oct 6, 2023 • 2
AgentTuning: Enabling Generalized Agent Abilities for LLMs

Paper • 2310.12823 • Published Oct 19, 2023 • 36

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