Awesome-RAG

‼️ This repository has not been actively maintained recently ⌛️

‼️ contributors interested in taking over are welcome to get in touch 👏

💡 List of recent developments in Retrieval-Augmented Generation (RAG) for large language models (LLM).
🤗 We welcome and encourage researchers to submit pull requests to update information in their papers!
📫 Repo under active development. Collaborations welcome on Framework & Survey. Contact: [email protected].

📕 Overview

📌 Accepted papers

NIPS 2025	EMNLP 2025	ACL 2025	ICML 2025	ICLR 2025
NIPS 2024	EMNLP 2024	ACL 2024	ICML 2024	ICLR 2024

🗓️ 2026 papers

2026.06	2026.05	2026.04	2026.03	2026.02	2026.01

🗓️ 2025 papers

2025.12	2025.11	2025.10	2025.09	2025.08	2025.07
2025.06	2025.05	2025.04	2025.03	2025.02	2025.01

🗓️ 2024 papers

2024.12	2024.11	2024.10	2024.09	2024.08	2024.07
2024.06	2024 .05	2024.04	2024.03	2024.02	2024.01

🗃️ Evaluation Datasets

HotpotQA	2WikiMultiHopQA	WebQuestions	TriviaQA	MuSiQue	NaturalQA
SQuAD	PopQA	ASQA	Bamboogle	ARC_Challenge	PubHealth

📢 Latest News

• [26.04]: Our CoCoA accepted at ACL2026 Main! 🎉 [Paper][Code]
• [26.1]: Our ArcAligner released — designed for long memory!🚀 [Code]
• [26.1]: Our OptiSet released — unified selection and ranking!🚀 [Code]
• [25.10]: Updated the recent papers from September and October!📅
• [25.10]: Our QAgent released — an agentic RAG framework!🚀 [Code]
• [25.08]: Our CoCoA released — studying knowledge synergy!🚀 [Code]
• [25.06]: We built AgenticRAG-RL — a minimal RL-RAG! Feel free to contribute!🤝
• [25.05]: Our GainRAG released — studying preference alignment!🚀 [Code]
• [25.05]: Our GainRAG accepted at ACL2025 Main! 🎉 [Paper][Code]
• [25.01-05]: Updated the papers from 2025! 📄
• [24.10]: We built MU-GOT — a PDF parsing tool! Feel free to contribute!🤝
• [24.06-12]: Updated the papers from 2024! 📄

🎁 Resources

💡Survey

• [2025.05] A Survey on Knowledge-Oriented Retrieval-Augmented Generation [Link]
• [2025.01] Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG [Link]
• [2024.09] Trustworthiness in Retrieval-Augmented Generation Systems: A Survey [Link]
• [2024.09] Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely [Link]
• [2024.07] Retrieval-Augmented Generation for Natural Language Processing: A Survey [Link]
• [2024.05] A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models [Link]
• [2024.02] Retrieval-Augmented Generation for AI-Generated Content: A Survey [Link]
• [2023.12] Retrieval-Augmented Generation for Large Language Models: A Survey [Link]

💡Project

• LightRAG
• RAGFlow
• RAG-Anything
• Awesome-LLM-RAG

🔥Latest Papers

🔥2026 June

• Jun 26 SPARK: Adaptive Parametric Knowledge Participation for Faithful Retrieval-Augmented Generation [Code]

🔥2026 May

• EmbedGuard: Cross-Layer Detection and Provenance Attestation for Adversarial Embedding Attacks in RAG Systems [IJCESEN] [Code]
  • Defends against adversarial embeddings injected into the retrieval corpus to manipulate downstream LLM behavior. Operates across embedding, retrieval, and generation layers with cryptographic provenance attestation.

🔥2026 March

• Mar 30 PAR2-RAG: Planned Active Retrieval and Reasoning for Multi-Hop Question Answering
• Mar 30 Courtroom-Style Multi-Agent Debate with Progressive RAG and Role-Switching for Controversial Claim Verification
• Mar 27 Not All Entities are Created Equal: A Dynamic Anonymization Framework for Privacy-Preserving Retrieval-Augmented Generation
• Mar 27 Insider Knowledge: How Much Can RAG Systems Gain from Evaluation Secrets?
• Mar 26 Adaptive Chunking: Optimizing Chunking-Method Selection for RAG
• March 26 UniAI-GraphRAG: Synergizing Ontology-Guided Extraction, Multi-Dimensional Clustering, and Dual-Channel Fusion for Robust Multi-Hop Reasoning
• Mar 26 GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring
• Mar 25 Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QA
• Mar 25 CoCR-RAG: Enhancing Retrieval-Augmented Generation in Web Q&A via Concept-oriented Context Reconstruction
• Mar 24 From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG
• Mar 23 CatRAG: Functor-Guided Structural Debiasing with Retrieval Augmentation for Fair LLMs
• Mar 21 Graphs RAG at Scale: Beyond Retrieval-Augmented Generation With Labeled Property Graphs and Resource Description Framework for Complex and Unknown Search Spaces
• Mar 19 GIP-RAG: An Evidence-Grounded Retrieval-Augmented Framework for Interpretable Gene Interaction and Pathway Impact Analysis
• Mar 19 BubbleRAG: Evidence-Driven Retrieval-Augmented Generation for Black-Box Knowledge Graphs
• Mar 19 DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering
• Mar 18 PACE-RAG: Patient-Aware Contextual and Evidence-based Policy RAG for Clinical Drug Recommendation
• Mar 18 SF-RAG: Structure-Fidelity Retrieval-Augmented Generation for Academic Question Answering
• Mar 17 Is Conformal Factuality for RAG-based LLMs Robust? Novel Metrics and Systematic Insights
• Mar 17 IndexRAG: Bridging Facts for Cross-Document Reasoning at Index Time
• Mar 16 Cross-RAG: Zero-Shot Retrieval-Augmented Time Series Forecasting via Cross-Attention
• Mar 14 The Reasoning Bottleneck in Graph-RAG: Structured Prompting and Context Compression for Multi-Hop QA
• Mar 12 Test-Time Strategies for More Efficient and Accurate Agentic RAG
• Mar 11 RAGPerf: An End-to-End Benchmarking Framework for Retrieval-Augmented Generation Systems
• Mar 10 TaSR-RAG: Taxonomy-guided Structured Reasoning for Retrieval-Augmented Generation
• Mar 9 SPD-RAG: Sub-Agent Per Document Retrieval-Augmented Generation
• Mar 8 KohakuRAG: A simple RAG framework with hierarchical document indexing
• Mar 7 Hit-RAG: Learning to Reason with Long Contexts via Preference Alignment
• Mar 6 LIT-RAGBench: Benchmarking Generator Capabilities of Large Language Models in Retrieval-Augmented Generation
• Mar 5 Towards Robust Retrieval-Augmented Generation Based on Knowledge Graph: A Comparative Analysis
• Mar 5 MedCoRAG: Interpretable Hepatology Diagnosis via Hybrid Evidence Retrieval and Multispecialty Consensus
• Mar 5 S-Path-RAG: Semantic-Aware Shortest-Path Retrieval Augmented Generation for Multi-Hop Knowledge Graph Question Answering
• Mar 3 RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering
• Mar 2 URAG: A Benchmark for Uncertainty Quantification in Retrieval-Augmented Large Language Models
• Mar 2 GAM-RAG: Gain-Adaptive Memory for Evolving Retrieval in Retrieval-Augmented Generation
• Mar 1 Tiny-Critic RAG: Empowering Agentic Fallback with Parameter-Efficient Small Language Models

🔥2026 February

• Feb 28 From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG
• Feb 26 TCM-DiffRAG: Personalized Syndrome Differentiation Reasoning Method for Traditional Chinese Medicine based on Knowledge Graph and Chain of Thought
• Feb 26 Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training
• Feb 25 Revisiting RAG Retrievers: An Information Theoretic Benchmark
• Feb 24 HELP: HyperNode Expansion and Logical Path-Guided Evidence Localization for Accurate and Efficient GraphRAG
• Feb 24 RMIT-ADM+S at the MMU-RAG NeurIPS 2025 Competition
• Feb 24 DynaRAG: Bridging Static and Dynamic Knowledge in Retrieval-Augmented Generation
• Feb 23 How Retrieved Context Shapes Internal Representations in RAG
• Feb 23 Controllable Evidence Selection in Retrieval-Augmented Question Answering via Deterministic Utility Gating
• Feb 22 AgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning in Agentic RAG
• Feb 21 Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem
• Feb 20 GraphSkill: Documentation-Guided Hierarchical Retrieval-Augmented Coding for Complex Graph Reasoning
• Feb 19 NTLRAG: Narrative Topic Labels derived with Retrieval Augmented Generation
• Feb 19 NotebookRAG: Retrieving Multiple Notebooks to Augment the Generation of EDA Notebooks for Crowd-Wisdom
• Feb 17 Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation
• Feb 16 AIC CTU@AVerImaTeC: dual-retriever RAG for image-text fact checking
• Feb 16 HyperRAG: Reasoning N-ary Facts over Hypergraphs for Retrieval Augmented Generation
• Feb 16 Differentially Private Retrieval-Augmented Generation
• Feb 14 Evaluating Prompt Engineering Techniques for RAG in Small Language Models: A Multi-Hop QA Approach
• Feb 13 LIR^3AG: A Lightweight Rerank Reasoning Strategy Framework for Retrieval-Augmented Generation
• Feb 11 MultiCube-RAG for Multi-hop Question Answering
• Feb 11 AudioRAG: A Challenging Benchmark for Audio Reasoning and Information Retrieval
• Feb 10 MLDocRAG: Multimodal Long-Context Document Retrieval Augmented Generation
• Feb 10 Comprehensive Comparison of RAG Methods Across Multi-Domain Conversational QA
• Feb 10 Evaluating Social Bias in RAG Systems: When External Context Helps and Reasoning Hurts
• Feb 9 DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation
• Feb 9 SCOUT-RAG: Scalable and Cost-Efficient Unifying Traversal for Agentic Graph-RAG over Distributed Domains
• Feb 8 HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
• Feb 7 IGMiRAG: Intuition-Guided Retrieval-Augmented Generation with Adaptive Mining of In-Depth Memor
• Feb 7 Progressive Searching for Retrieval in RAG
• Feb 7 Benchmarking Legal RAG: The Promise and Limits of AI Statutory Surveys
• Feb 6 SE-Search: Self-Evolving Search Agent via Memory and Dense Reward
• Feb 5 CompactRAG: Reducing LLM Calls and Token Overhead in Multi-Hop Question Answering
• Feb 5 Cost-Efficient RAG for Entity Matching with LLMs: A Blocking-based Exploration
• Feb 5 When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering
• Feb 4HugRAG: Hierarchical Causal Knowledge Graph Design for RAG
• Feb 4 Pruning Minimal Reasoning Graphs for Efficient Retrieval-Augmented Generation
• Feb 4 Atomic Information Flow: A Network Flow Model for Tool Attributions in RAG Systems
• Feb 3 LUMINA: Detecting Hallucinations in RAG System with Context-Knowledge Signals
• Feb 3 Rethinking the Reranker: Boundary-Aware Evidence Selection for Robust Retrieval-Augmented Generation
• Feb 3 Reinforcement Fine-Tuning for History-Aware Dense Retriever in RAG
• Feb 3 Use Graph When It Needs: Efficiently and Adaptively Integrating Retrieval-Augmented Generation with Graphs
• Feb 3 A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces
• Feb 3 Pursuing Best Industrial Practices for Retrieval-Augmented Generation in the Medical Domain
• Feb 2 Breaking the Static Graph: Context-Aware Traversal for Robust Retrieval-Augmented Generation
• Feb 2 CTRL-RAG: Contrastive Likelihood Reward Based Reinforcement Learning for Context-Faithful RAG Models
• Feb 2 P-RAG: Prompt-Enhanced Parametric RAG with LoRA and Selective CoT for Biomedical and Multi-Hop QA

🔥2026 January

• Jan 30 Bounding Hallucinations: Information-Theoretic Guarantees for RAG Systems via Merlin-Arthur Protocols
• Jan 30 DIVERGE: Diversity-Enhanced RAG for Open-Ended Information Seeking
• Jan 30 RAGRouter-Bench: A Dataset and Benchmark for Adaptive RAG Routing
• Jan 29 ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation
• Jan 29 EHR-RAG: Bridging Long-Horizon Structured Electronic Health Records and Large Language Models via Enhanced Retrieval-Augmented Generation
• Jan 27 LURE-RAG: Lightweight Utility-driven Reranking for Efficient RAG
• Jan 27 RPO-RAG: Aligning Small LLMs with Relation-aware Preference Optimization for Knowledge Graph Question Answering
• Jan 24 Less is More for RAG: Information Gain Pruning for Generator-Aligned Reranking and Evidence Selection
• Jan 23 DeepEra: A Deep Evidence Reranking Agent for Scientific Retrieval-Augmented Generated Question Answering
• Jan 23 DF-RAG: Query-Aware Diversity for Retrieval-Augmented Generation
• Jan 22 SPARC-RAG: Adaptive Sequential-Parallel Scaling with Context Management for Retrieval-Augmented Generation
• Jan 21 ManuRAG: Multi-modal Retrieval Augmented Generation for Manufacturing Question Answering (Early Version)
• Jan 21 MiRAGE: A Multiagent Framework for Generating Multimodal Multihop Question-Answer Dataset for RAG Evaluation
• Jan 20 Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation
• Jan 19 RAGExplorer: A Visual Analytics System for the Comparative Diagnosis of RAG Systems
• Jan 19 Augmenting Question Answering with A Hybrid RAG Approach
• Jan 16 NAACL: Noise-AwAre Verbal Confidence Calibration for LLMs in RAG Systems
• Jan 16 PruneRAG: Confidence-Guided Query Decomposition Trees for Efficient Retrieval-Augmented Generation
• Jan 16 Reasoning in Trees: Improving Retrieval-Augmented Generation for Multi-Hop Question Answering
• Jan 16 Unlocking the Potentials of Retrieval-Augmented Generation for Diffusion Language Models
• Jan 16 Deep GraphRAG: A Balanced Approach to Hierarchical Retrieval and Adaptive Integration
• Jan 16 Predict the Retrieval! Test time adaptation for Retrieval Augmented Generation
• Jan 15 RoutIR: Fast Serving of Retrieval Pipelines for Retrieval-Augmented Generation
• Jan 13 RAGShaper: Eliciting Sophisticated Agentic RAG Skills via Automated Data Synthesis
• Jan 12 Relink: Constructing Query-Driven Evidence Graph On-the-Fly for GraphRAG
• Jan 12 BayesRAG: Probabilistic Mutual Evidence Corroboration for Multimodal Retrieval-Augmented Generation
• Jan 12 FROAV: A Framework for RAG Observation and Agent Verification - Lowering the Barrier to LLM Agent Research
• Jan 12 Is Agentic RAG worth it? An experimental comparison of RAG approaches
• Jan 11 TreePS-RAG: Tree-based Process Supervision for Reinforcement Learning in Agentic RAG
• Jan 11 Seeing through the Conflict: Transparent Knowledge Conflict Handling in Retrieval-Augmented Generation
• Jan 11 Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel Knowledge
• Jan 10 Attribution Techniques for Mitigating Hallucinated Information in RAG Systems: A Survey
• Jan 10 MedRAGChecker: Claim-Level Verification for Biomedical Retrieval-Augmented Generation
• Jan 10 L-RAG: Balancing Context and Retrieval with Entropy-Based Lazy Loading
• Jan 8 Self-MedRAG: a Self-Reflective Hybrid Retrieval-Augmented Generation Framework for Reliable Medical Question Answering
• Jan 8 Orion-RAG: Path-Aligned Hybrid Retrieval for Graphless Data
• Jan 8 OptiSet: Unified Optimizing Set Selection and Ranking for Retrieval-Augmented Generation
• Jan 8 ArcAligner: Adaptive Recursive Aligner for Compressed Context Embeddings in RAG
• Jan 6 Enhancing Multilingual RAG Systems with Debiased Language Preference-Guided Query Fusion
• Jan 6 Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation
• Jan 6 Detecting Hallucinations in Retrieval-Augmented Generation via Semantic-level Internal Reasoning Graph
• Jan 6 Tackling the Inherent Difficulty of Noise Filtering in RAG
• Jan 7 Disco-RAG: Discourse-Aware Retrieval-Augmented Generation
• Jan 5 Clinical Knowledge Graph Construction and Evaluation with Multi-LLMs via Retrieval-Augmented Generation
• Jan 4 A Dynamic Retrieval-Augmented Generation System with Selective Memory and Remembrance
• Jan 2 Improving Multi-step RAG with Hypergraph-based Memory for Long-Context Complex Relational Modeling
• Jan 2 RAG-BioQA: A Retrieval-Augmented Generation Framework for Long-Form Biomedical Question Answering

🔥2025 December

• Dec 31 Enhancing Retrieval-Augmented Generation with Topic-Enriched Embeddings: A Hybrid Approach Integrating Traditional NLP Techniques
• Dec 29 Retrieval Augmented Question Answering: When Should LLMs Admit Ignorance?
• Dec 27 DICE: Discrete Interpretable Comparative Evaluation with Probabilistic Scoring for Retrieval-Augmented Generation
• Dec 27 HiFi-RAG: Hierarchical Content Filtering and Two-Pass Generation for Open-Domain RAG
• Dec 25 FVA-RAG: Falsification-Verification Alignment for Mitigating Sycophantic Hallucinations
• Dec 22 QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation [Code]
• Dec 20 Bidirectional RAG: Safe Self-Improving Retrieval-Augmented Generation Through Multi-Stage Validation
• Dec 19 MMRAG-RFT: Two-stage Reinforcement Fine-tuning for Explainable Multi-modal Retrieval-augmented Generation
• Dec 17 The Semantic Illusion: Certified Limits of Embedding-Based Hallucination Detection in RAG Systems
• Dec 16 DrugRAG: Enhancing Pharmacy LLM Performance Through A Novel Retrieval-Augmented Generation Pipeline
• Dec 16 Dynamic Context Selection for Retrieval-Augmented Generation: Mitigating Distractors and Positional Bias
• Dec 16 Cog-RAG: Cognitive-Inspired Dual-Hypergraph with Theme Alignment Retrieval-Augmented Generation
• Dec 15 Semantic Grounding Index: Geometric Bounds on Context Engagement in RAG Systems
• Dec 12 LOOPRAG: Enhancing Loop Transformation Optimization with Retrieval-Augmented Large Language Models
• Dec 11 Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
• Dec 10 MedBioRAG: Semantic Search and Retrieval-Augmented Generation with Large Language Models for Medical and Biological QA
• Dec 10 RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning
• Dec 10 Leveraging Language Models and RAG for Efficient Knowledge Discovery in Clinical Environments
• Dec 9 Detecting Hallucinations in Graph Retrieval-Augmented Generation via Attention Patterns and Semantic Alignment
• Dec 9 Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders
• Dec 5 Optimizing Medical Question-Answering Systems: A Comparative Study of Fine-Tuned and Zero-Shot Large Language Models with RAG Framework
• Dec 3 RAGVUE: A Diagnostic View for Explainable and Automated Evaluation of Retrieval-Augmented Generation
• Dec 3 BookRAG: A Hierarchical Structure-aware Index-based Approach for Retrieval-Augmented Generation on Complex Documents

🔥2025 November

• Nov 29 Breaking It Down: Domain-Aware Semantic Segmentation for Retrieval Augmented Generation
• Nov 28 Autonomous QA Agent: A Retrieval-Augmented Framework for Reliable Selenium Script Generation
• Nov 27 Unlocking Electronic Health Records: A Hybrid Graph RAG Approach to Safe Clinical AI for Patient QA
• Nov 26 MegaRAG: Multimodal Knowledge Graph-Based Retrieval Augmented Generation
• Nov 25 HKRAG: Holistic Knowledge Retrieval-Augmented Generation Over Visually-Rich Documents
• Nov 24 HyperbolicRAG: Enhancing Retrieval-Augmented Generation with Hyperbolic Representations
• Nov 22 Agent-as-a-Graph: Knowledge Graph-Based Tool and Agent Retrieval for LLM Multi-Agent Systems
• Nov 22 Rethinking Retrieval: From Traditional Retrieval Augmented Generation to Agentic and Non-Vector Reasoning Systems in the Financial Domain for Large Language Models
• Nov 21 Beyond Component Strength: Synergistic Integration and Adaptive Calibration in Multi-Agent RAG Systems
• Nov 20 Comparison of Text-Based and Image-Based Retrieval in Multimodal Retrieval Augmented Generation Large Language Model Systems
• Nov 19 CARE-RAG - Clinical Assessment and Reasoning in RAG
• Nov 19 ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
• Nov 19 Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models
• Nov 18 LiveRAG: A diverse Q&A dataset with varying difficulty level for RAG evaluation
• Nov 17 TelcoAI: Advancing 3GPP Technical Specification Search through Agentic Multi-Modal Retrieval-Augmented Generation
• Nov 16 TAdaRAG: Task Adaptive Retrieval-Augmented Generation via On-the-Fly Knowledge Graph Construction
• Nov 15 MME-RAG: Multi-Manager-Expert Retrieval-Augmented Generation for Fine-Grained Entity Recognition in Task-Oriented Dialogues
• Nov 13 Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG
• Nov 13 TruthfulRAG: Resolving Factual-level Conflicts in Retrieval-Augmented Generation with Knowledge Graphs
• Nov 13 RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation
• Nov 12 BarrierBench : Evaluating Large Language Models for Safety Verification in Dynamical Systems
• Nov 10 Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training
• Nov 10 A survey: Information search time optimization based on RAG (Retrieval Augmentation Generation) chatbot
• Nov 8 Cross-Document Topic-Aligned Chunking for Retrieval-Augmented Generation
• Nov 8 Retrieval-Augmented Generation in Medicine: A Scoping Review of Technical Implementations, Clinical Applications, and Ethical Considerations
• Nov 7 TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework
• Nov 6 RAGalyst: Automated Human-Aligned Agentic Evaluation for Domain-Specific RAG
• Nov 5 RAGBoost: Efficient Retrieval-Augmented Generation with Accuracy-Preserving Context Reuse
• Nov 1 Zero-RAG: Towards Retrieval-Augmented Generation with Zero Redundant Knowledge

🔥2025 October

• Oct 29 DIRC-RAG: Accelerating Edge RAG with Robust High-Density and High-Loading-Bandwidth Digital In-ReRAM Computation
• Oct 28 Mitigating Hallucination in Large Language Models (LLMs): An Application-Oriented Survey on RAG, Reasoning, and Agentic Systems
• Oct 28 META-RAG: Meta-Analysis-Inspired Evidence-Re-Ranking Method for Retrieval-Augmented Generation in Evidence-Based Medicine
• Oct 28 PICOs-RAG: PICO-supported Query Rewriting for Retrieval-Augmented Generation in Evidence-Based Medicine
• Oct 25 FAIR-RAG: Faithful Adaptive Iterative Refinement for Retrieval-Augmented Generation
• Oct 24 InterpDetect: Interpretable Signals for Detecting Hallucinations in Retrieval-Augmented Generation
• Oct 24 SUBQRAG: Sub-Question Driven Dynamic Graph RAG
• Oct 21 Is Implicit Knowledge Enough for LLMs? A RAG Approach for Tree-based Structures
• Oct 21 Query Decomposition for RAG: Balancing Exploration-Exploitation
• Oct 17 RAG vs. GraphRAG: A Systematic Evaluation and Key Insights
• Oct 17 Stop-RAG: Value-Based Retrieval Control for Iterative RAG
• Oct 16 Multimodal RAG for Unstructured Data:Leveraging Modality-Aware Knowledge Graphs with Hybrid Retrieval
• Oct 16 MoM: Mixtures of Scenario-Aware Document Memories for Retrieval-Augmented Generation Systems
• Oct 15 ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG
• Oct 15 RAG Meets Temporal Graphs: Time-Sensitive Modeling and Retrieval for Evolving Knowledge
• Oct 15 SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG
• Oct 14 PRoH: Dynamic Planning and Reasoning over Knowledge Hypergraphs for Retrieval-Augmented Generation
• Oct 14 RAG-Anything: All-in-One RAG Framework
• Oct 13 Domain-Specific Data Generation Framework for RAG Adaptation
• Oct 12 RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation
• Oct 12 Multimodal Retrieval-Augmented Generation with Large Language Models for Medical VQA
• Oct 11 LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
• Oct 11 RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering
• Oct 10 Use of Retrieval-Augmented Large Language Model Agent for Long-Form COVID-19 Fact-Checking
• Oct 10 Chain-of-Retrieval Augmented Generation
• Oct 10 When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs
• Oct 9 QAgent: A modular Search Agent with Interactive Query Understanding
• Oct 9 STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
• Oct 7 HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation
• Oct 6 MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts
• Oct 4 Beyond Outcome Reward: Decoupling Search and Answering Improves LLM Agents
• Oct 4 Equipping Retrieval-Augmented Large Language Models with Document Structure Awareness
• Oct 2 Less LLM, More Documents: Searching for Improved RAG
• Oct 2 Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation
• Oct 2 Training Dynamics of Parametric and In-Context Knowledge Utilization in Language Models
• Oct 2 AccurateRAG: A Framework for Building Accurate Retrieval-Augmented Question-Answering Applications
• Oct 1 A Comparison of Independent and Joint Fine-tuning Strategies for Retrieval-Augmented Generation
• Oct 1 Fine-tuning with RAG for Improving LLM Learning of New Skills
• Oct 1 GRAD: Generative Retrieval-Aligned Demonstration Sampler for Efficient Few-Shot Reasoning
• Oct 1 HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented Generation

🍭2025 September

• Sep 30 RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation
• Sep 29 FreeRet: MLLMs as Training-Free Retrievers (ICML 2026) [Proceedings] [Code]
• Sep 27 From Evidence to Trajectory: Abductive Reasoning Path Synthesis for Training Retrieval-Augmented Generation Agents
• Sep 26 Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding
• Sep 26 Can Synthetic Query Rewrites Capture User Intent Better than Humans in Retrieval-Augmented Generation?
• Sep 25 Concise and Sufficient Sub-Sentence Citations for Retrieval-Augmented Generation
• Sep 24 RAR2: Retrieval-Augmented Medical Reasoning via Thought-Driven Retrieval
• Sep 22 AttnComp: Attention-Guided Adaptive Context Compression for Retrieval-Augmented Generation
• Sep 21 Influence Guided Context Selection for Effective Retrieval-Augmented Generation
• Sep 20 SKILL-RAG: Self-Knowledge Induced Learning and Filtering for Retrieval-Augmented Generation
• Sep 19 Relevance to Utility: Process-Supervised Rewrite for RAG
• Sep 17 Improving Context Fidelity via Native Retrieval-Augmented Reasoning
• Sep 9 Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking
• Sep 8 HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering
• Sep 8 Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval
• Sep 8 HAVE: Head-Adaptive Gating and ValuE Calibration for Hallucination Mitigation in Large Language Models
• Sep 5 Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation
• Sep 5 KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering
• Sep 4 SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment
• Sep 4 MobileRAG: Enhancing Mobile Agent with Retrieval-Augmented Generation
• Sep 2 Better by Comparison: Retrieval-Augmented Contrastive Reasoning for Automatic Prompt Optimization
• Sep 1 REFRAG: Rethinking RAG based Decoding
• Sep 1 Towards Open-World Retrieval-Augmented Generation on Knowledge Graph: A Multi-Agent Collaboration Framework

🍭2025 August

• Aug 29 Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward
• Aug 27 Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs
• Aug 27 Can Compact Language Models Search Like Agents? Distillation-Guided Policy Optimization for Preserving Agentic RAG Capabilities
• Aug 27 LFD: Layer Fused Decoding to Exploit External Knowledge in Retrieval-Augmented Generation
• Aug 26 Context-Adaptive Synthesis and Compression for Enhanced Retrieval-Augmented Generation in Complex Domains
• Aug 25 Improving End-to-End Training of Retrieval-Augmented Generation Models via Joint Stochastic Approximation
• Aug 24 CORE: Lossless Compression for Retrieval-Augmented LLMs via Reinforcement Learning
• Aug 24 SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer
• Aug 24 SSFO: Self-Supervised Faithfulness Optimization for Retrieval-Augmented Generation
• Aug 21 Conflict-Aware Soft Prompting for Retrieval-Augmented Generation
• Aug 21 Select to Know: An Internal-External Knowledge Self-SelectionFramework for Domain-Specific Question Answering
• Aug 18 LeanRAG: Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval
• Aug 15 Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering
• Aug 14 SSRL: Self-Search Reinforcement Learning
• Aug 14 ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning
• Aug 13 Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation
• Aug 13 Transforming Questions and Documents for Semantically Aligned Retrieval-Augmented Generation
• Aug 12 READER: Retrieval-Assisted Drafter for Efficient LLM Inference
• Aug 12 REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation
• Aug 11 LAG: Logic-Augmented Generation from a Cartesian Perspective
• Aug 11 Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning
• Aug 10 PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization
• Aug 8 Guided Decoding and Its Critical Role in Retrieval-Augmented Generation
• Aug 8 UR2: Unify RAG and Reasoning through Reinforcement Learning
• Aug 8 Spectrum Projection Score: Aligning Retrieved Summaries with Reader Models in Retrieval-Augmented Generation
• Aug 7 BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation
• Aug 6 PAIRS: Parametric–Verified Adaptive Information Retrieval and Selection for Efficient RAG
• Aug 5 Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy
• Aug 1 MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation

🍭2025 July

• Jul 29 FrugalRAG: Learning to retrieve and reason for multi-hop QA
• Jul 25 Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation
• Jul 25 Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation
• Jul 25 Query-Aware Graph Neural Networks for Enhanced Retrieval-Augmented Generation
• Jul 23 HiRAG: Retrieval-Augmented Generation with Hierarchical Knowledge
• Jul 15 RAG-R1 : Incentivize the Search and Reasoning Capabilities of LLMs through Multi-query Parallelism

🍭2025 June

• Jun 20 PreQRAG -- Classify and Rewrite for Enhanced RAG
• Jun 15 Intra-Trajectory Consistency for Reward Modeling
• Jun 5 Knowledgeable-r1: Policy Optimization for Knowledge Exploration in Retrieval-Augmented Generation
• Jun 4 R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning
• Jun 2 ImpRAG: Retrieval-Augmented Generation with Implicit Queries

🥇ACL 2026

$fingdings$

• QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation [Code]

🥇NIPS 2025

• ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation [Code]

🥇EMNLP 2025

• ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance [Code]

🥇ACL 2025

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Methods & Pipeline & Framework

• GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis [Code]
• FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation [Code]
• RPO: Retrieval Preference Optimization for Robust Retrieval-Augmented Generation
• RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
• Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
• RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models
• Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG
• MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
• DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering
• DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation
• Hierarchical Document Refinement for Long-context Retrieval-augmented Generation
• KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation
• Enhancing Retrieval-Augmented Generation via Evidence Tree Search
• Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering
• SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
• TC–RAG: Turing–Complete RAG’s Case study on Medical LLM Systems
• Removal of Hallucination on Hallucination: Debate-Augmented RAG
• Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks
• Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering
• UniRAG: Unified Query Understanding Method for Retrieval Augmented Generation
• DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation
• Lexical Diversity-aware Relevance Assessment for Retrieval-Augmented Generation
• RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation
• Sparse Latents Steer Retrieval-Augmented Generation
• GRAT: Guiding Retrieval-Augmented Reasoning through Process Rewards Tree Search
• LLMs Trust Humans More, That’s a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation
• Shifting from Ranking to Set Selection for Retrieval Augmented Generation
• Dialogue-RAG: Enhancing Retrieval for LLMs via Node-Linking Utterance Rewriting
• SGIC: A Self-Guided Iterative Calibration Framework for RAG

Benchmark & Evaluation & Analysis

• SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
• HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
• RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework
• Unanswerability Evaluation for Retrieval Augmented Generation
• MEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation
• Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
• The Distracting Effect: Understanding Irrelevant Passages in RAG
• Pandora’s Box or Aladdin’s Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models
• A Reality Check on Context Utilisation for Retrieval-Augmented Generation
• MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tables
• On the Robustness of RAG Systems in Educational Question Answering under Knowledge Discrepancies

Chunk & Database

• MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System
• HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation
• Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs

Application

• Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications
• Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
• Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented Generation
• VISA: Retrieval Augmented Generation with Visual Source Attribution
• The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
• HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses
• NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering
• CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG
• Retrieval-Augmented Fine-Tuning With Preference Optimization For Visual Program Generation

$fingdings$

• Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
• SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation
• EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation
• Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
• RASD: Retrieval-Augmented Speculative Decoding
• FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs
• Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation
• Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning
• Fine-grained Knowledge Enhancement for Retrieval-Augmented Generation
• GeAR: Graph-enhanced Agent for Retrieval-augmented Generation
• CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control
• RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization
• The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems
• PISCO: Pretty Simple Compression for Retrieval-Augmented Generation
• RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery
• Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
• CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation
• Mitigating Bias in RAG: Controlling the Embedder
• HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval Augmented Generation
• SynapticRAG: Enhancing Temporal Memory Retrieval in Large Language Models through Synaptic Mechanisms
• HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation
• RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
• LLMs are Biased Evaluators But Not Biased for Retrieval Augmented Generation
• Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps
• Evaluation of Attribution Bias in Generator-Informed Retrieval-Augmented Large Language Models
• Axiomatic Analysis of Uncertainty Estimation For Retrieval Augmented Generation
• ECoRAG: Evidentiality-guided Compression for Long Context RAG
• GNN-RAG: Graph Neural Retrieval for Efficient Large Language Model Reasoning on Knowledge Graphs
• LTRAG: Enhancing autoformalization and self-refinement for logical reasoning with Thought-Guided RAG
• Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience
• Document Segmentation Matters for Retrieval-Augmented Generation
• Exploring Knowledge Filtering for Retrieval-Augmented Discriminative Tasks
• TreeRAG: Unleashing the Power of Hierarchical Storage for Enhanced Knowledge Retrieval in Long Documents
• EC-RAFT: Automated Generation of Clinical Trial Eligibility Criteria through Retrieval-Augmented Fine-Tuning
• RASPberry: Retrieval-Augmented Monte Carlo Tree Self-Play with Reasoning Consistency for Multi-Hop Question Answering
• Safeguarding RAG Pipelines with GMTP: A Gradient-based Masked Token Probability Method for Poisoned Document Detection
• All That Glitters is Not Gold: Improving Robust Retrieval-Augmented Language Models with Fact-Centric Preference Alignment

🍭2025 May

• May 30 ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering
• May 30 Pangu DeepDiver: Adaptive Search Intensity Scaling via Open-Web Reinforcement Learning
• May 30 ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
• May 26 R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning
• May 26 Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
• May 24 [G