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Chronological index of RAG and its technical substrate

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This is the complete chronological view of the primary-source registry as of 2026-08-09. It complements the explanatory chronology: that chapter follows causal architectural transitions, while this index makes all registered works—including parsing, chunking, sparse execution, ANN, ranking, evaluation, privacy, security, multimodal retrieval, memory, and serving—discoverable by first public date.

Dates are the earliest public date recorded in sources.json, not necessarily the later proceedings year. Status is explicit because an influential preprint or industry report is not equivalent to a peer-reviewed result. Entries link to an original paper, official proceedings page, or first-party program/report; the registry's title, date, venue, URL, status, and topics are the canonical metadata.

How to read the eras

  1. 1971–2013: retrieval and indexing foundations. Relevance feedback, probabilistic term specificity, the vector-space model, BM25, passage segmentation, relevance models, dynamic pruning, RRF, PQ/OPQ, and ANN establish the substrate later RAG systems inherit.
  2. 2014–2019: differentiable memory and open-domain retrieve/read. Memory Networks, DrQA, knowledge-grounded dialogue, graph QA, dense latent retrieval, kNN-LM, early BERT reranking, document expansion, DiskANN, and multi-hop benchmarks move external evidence into neural NLP.
  3. 2020–2021: modern neural retrieval and retrieval-conditioned generation. REALM, DPR, RAG, FiD, ColBERT, ANCE, KILT, RocketQA, learned sparse search, RETRO, BEIR, ScaNN, SPANN, and training/distillation work define the modern stack.
  4. 2022–2023: generalization, instruction, long-form attribution, and retrieval-aware control. Atlas, Contriever, E5/INSTRUCTOR/GTR, HyDE, FLARE, IRCoT, ALCE, Self-RAG, RAPTOR, and broader evaluation make retrieval more controllable and auditable.
  5. 2024–2026: adaptive/agentic policies, graph and visual documents, reasoning-aware retrieval, memory, safety, and systems. The frontier learns whether/when/how to retrieve and stop, while evaluation exposes citation, freshness, poisoning, privacy, multimodal, long-context, and production trade-offs.

Cross-paper scores are not comparable merely because methods appear in the same year. Corpus snapshots, qrels, retrieval depth, generators, prompts, models, judges, and budgets differ. Use this index to find evidence, then read the mechanism and limitation analysis in the linked handbook chapter.

Registry summary

The index contains 203 works: 1 benchmark-program, 2 industry-report, 181 peer-reviewed, 19 preprint.

Most represented topic tags:

  • benchmark — 26
  • multi-hop — 12
  • dense-retrieval — 12
  • generation — 9
  • efficiency — 9
  • reranking — 9
  • ann — 9
  • pretraining — 8
  • rag — 8
  • multimodal — 8
  • long-context — 8
  • graph — 8
  • evaluation — 8
  • memory — 7
  • reasoning — 7
  • reinforcement-learning — 7
  • citations — 7
  • embeddings — 7
  • retrieval — 6
  • distillation — 6
  • learned-sparse — 6
  • security — 6
  • privacy — 6
  • routing — 5
  • visual-rag — 5
  • chunking — 5
  • late-interaction — 4
  • compression — 4
  • iterative-retrieval — 4
  • robustness — 4

Retrieval and indexing foundations (1971–2013)

1971

#First publicWorkVenue/statusTopics
11971Relevance Feedback in Information RetrievalThe SMART Retrieval System; peer-reviewedrelevance-feedback, query-expansion

1972

#First publicWorkVenue/statusTopics
21972A Statistical Interpretation of Term Specificity and Its Application in RetrievalJournal of Documentation; peer-reviewedtf-idf, sparse-retrieval

1975

#First publicWorkVenue/statusTopics
31975A Vector Space Model for Automatic IndexingCommunications of the ACM; peer-reviewedvector-space, information-retrieval

1976

#First publicWorkVenue/statusTopics
41976Relevance Weighting of Search TermsJASIS; peer-reviewedprobabilistic-ir, term-weighting

1994

#First publicWorkVenue/statusTopics
51994-11Okapi at TREC-3TREC-3 / NIST SP 500-225; peer-reviewedbm25, sparse-retrieval

1997

#First publicWorkVenue/statusTopics
61997TextTiling: Segmenting Text into Multi-Paragraph Subtopic PassagesComputational Linguistics; peer-reviewedchunking, topic-segmentation

2001

#First publicWorkVenue/statusTopics
72001Relevance-Based Language ModelsSIGIR 2001; peer-reviewedrm3, pseudo-relevance-feedback, language-model-retrieval

2003

#First publicWorkVenue/statusTopics
82003Efficient Query Evaluation Using a Two-Level Retrieval ProcessCIKM 2003; peer-reviewedinverted-index, dynamic-pruning, wand

2009

#First publicWorkVenue/statusTopics
92009Reciprocal Rank Fusion Outperforms Condorcet and Individual Rank Learning MethodsSIGIR 2009; peer-reviewedfusion, rrf

2011

#First publicWorkVenue/statusTopics
102011Faster Top-k Document Retrieval Using Block-Max IndexesSIGIR 2011; peer-reviewedinverted-index, dynamic-pruning
112011Product Quantization for Nearest Neighbor SearchIEEE TPAMI; peer-reviewedann, quantization, compression

2013

#First publicWorkVenue/statusTopics
122013Optimized Product Quantization for Approximate Nearest Neighbor SearchCVPR 2013; peer-reviewedann, quantization, rotation

Differentiable memory and open-domain retrieve/read (2014–2019)

2014

#First publicWorkVenue/statusTopics
132014-10-15Memory NetworksICLR 2015; peer-reviewedmemory, multi-hop

2015

#First publicWorkVenue/statusTopics
142015-03-31End-To-End Memory NetworksNeurIPS 2015; peer-reviewedmemory, differentiable-retrieval

2016

#First publicWorkVenue/statusTopics
152016Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World GraphsIEEE TPAMI; peer-reviewedann, hnsw, vector-index

2017

#First publicWorkVenue/statusTopics
162017Billion-scale Similarity Search with GPUsIEEE Big Data 2017; peer-reviewedann, gpu, faiss
172017-03-31Reading Wikipedia to Answer Open-Domain QuestionsACL 2017; peer-reviewedopen-qa, tf-idf, reader

2018

#First publicWorkVenue/statusTopics
182018HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question AnsweringEMNLP 2018; peer-reviewedmulti-hop, benchmark, supporting-facts
192018Open Domain Question Answering Using Early Fusion of Knowledge Bases and TextEMNLP 2018; peer-reviewedknowledge-graph, text, graph-neural-network
202018Retrieve and Refine: Improved Sequence Generation Models for DialogueEMNLP SCAI 2018; peer-reviewedgeneration, dialogue
212018Wizard of Wikipedia: Knowledge-Powered Conversational AgentsICLR 2019; peer-revieweddialogue, knowledge-grounding

2019

#First publicWorkVenue/statusTopics
222019Context-Aware Term Weighting for First Stage Passage RetrievalSIGIR 2020; peer-reviewedlearned-sparse, term-weighting
232019DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single NodeNeurIPS 2019; peer-reviewedann, disk, vector-index
242019PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and TextEMNLP-IJCNLP 2019; peer-reviewedknowledge-graph, iterative-retrieval
252019-01Passage Re-ranking with BERTarXiv; preprintreranking, cross-encoder
262019-04Document Expansion by Query PredictionarXiv; preprintdocument-expansion, sparse-retrieval
272019-06-01Latent Retrieval for Weakly Supervised Open Domain Question AnsweringACL 2019; peer-revieweddense-retrieval, latent-evidence, ict
282019-11-01Generalization through Memorization: Nearest Neighbor Language ModelsICLR 2020; peer-reviewedlanguage-modeling, non-parametric-memory

Modern neural retrieval and RAG (2020–2021)

2020

#First publicWorkVenue/statusTopics
292020Accelerating Large-Scale Inference with Anisotropic Vector QuantizationICML 2020; peer-reviewedann, scann, quantization
302020Adaptive Semiparametric Language ModelsTACL 2021; peer-reviewedmemory, adaptive-fusion
312020Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text RetrievalICLR 2021; peer-revieweddense-retrieval, ann-negatives, training
322020ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTSIGIR 2020; peer-reviewedlate-interaction, multi-vector
332020Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning StepsCOLING 2020; peer-reviewedmulti-hop, benchmark, reasoning
342020Document Ranking with a Pretrained Sequence-to-Sequence ModelFindings EMNLP 2020; peer-reviewedreranking, t5, generative-ranking
352020DocVQA: A Dataset for VQA on Document ImagesWACV 2021; peer-revieweddocument-ai, visual-qa, benchmark
362020KILT: a Benchmark for Knowledge Intensive Language TasksNAACL 2021; peer-reviewedbenchmark, provenance, wikipedia
372020RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question AnsweringNAACL 2021; peer-revieweddense-retrieval, denoising, cross-batch-negatives
382020-02-10REALM: Retrieval-Augmented Language Model Pre-TrainingICML 2020; peer-reviewedpretraining, latent-retrieval, index-refresh
392020-04-10Dense Passage Retrieval for Open-Domain Question AnsweringEMNLP 2020; peer-revieweddense-retrieval, contrastive-learning, faiss
402020-05-22Retrieval-Augmented Generation for Knowledge-Intensive NLP TasksNeurIPS 2020; peer-reviewedrag, latent-documents, seq2seq
412020-06-26Pre-training via ParaphrasingNeurIPS 2020; peer-reviewedpretraining, multilingual, retrieval
422020-07-02Leveraging Passage Retrieval with Generative Models for Open Domain Question AnsweringEACL 2021; peer-reviewedfusion-in-decoder, multi-passage
432020-12-08Distilling Knowledge from Reader to Retriever for Question AnsweringICLR 2021; peer-revieweddistillation, reader-to-retriever

2021

#First publicWorkVenue/statusTopics
442021BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsNeurIPS 2021 Datasets and Benchmarks; peer-reviewedretrieval, benchmark, zero-shot
452021COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted ListNAACL 2021; peer-reviewedlearned-sparse, multi-vector, lexical
462021Condenser: a Pre-training Architecture for Dense RetrievalEMNLP 2021; peer-revieweddense-retrieval, pretraining
472021GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense RetrievalNAACL 2022; peer-revieweddomain-adaptation, synthetic-queries, distillation
482021Large Dual Encoders Are Generalizable RetrieversEMNLP 2022; peer-revieweddense-retrieval, scaling, zero-shot
492021MuSiQue: Multihop Questions via Single-hop Question CompositionTACL 2022; peer-reviewedmulti-hop, benchmark, composition
502021SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood SearchNeurIPS 2021; peer-reviewedann, disk, inverted-file
512021SPLADE: Sparse Lexical and Expansion Model for First Stage RankingSIGIR 2021; peer-reviewedlearned-sparse, expansion
522021Unsupervised Corpus Aware Language Model Pre-training for Dense Passage RetrievalACL 2022; peer-revieweddense-retrieval, pretraining, contrastive
532021-04Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware SamplingSIGIR 2021; peer-revieweddense-retrieval, distillation, sampling
542021-04Learning Passage Impacts for Inverted IndexesCIKM 2021; peer-reviewedlearned-sparse, impact-index
552021-06-09End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question AnsweringNeurIPS 2021; peer-reviewedjoint-training, multi-document
562021-09SPLADE v2: Sparse Lexical and Expansion Model for Information RetrievalarXiv; preprintlearned-sparse, expansion
572021-12-03ColBERTv2: Effective and Efficient Retrieval via Lightweight Late InteractionNAACL 2022; peer-reviewedlate-interaction, compression
582021-12-08Improving Language Models by Retrieving from Trillions of TokensICML 2022; peer-reviewedpretraining, chunk-retrieval, scaling
592021-12-16Unsupervised Dense Information Retrieval with Contrastive LearningTMLR 2022; peer-revieweddense-retrieval, unsupervised

Generalization, attribution, and retrieval control (2022–2023)

2022

#First publicWorkVenue/statusTopics
602022ASQA: Factoid Questions Meet Long-Form AnswersEMNLP 2022; peer-reviewedlong-form, ambiguous-qa, citations
612022ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical ReasoningFindings ACL 2022; peer-reviewedcharts, visual-qa, reasoning
622022FlashAttention: Fast and Memory-Efficient Exact Attention with IO-AwarenessNeurIPS 2022; peer-reviewedattention, efficiency, serving
632022Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step QuestionsACL 2023; peer-reviewedmulti-hop, iterative-retrieval, reasoning
642022KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question AnsweringACL 2022; peer-reviewedknowledge-graph, fid, multi-hop
652022LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingACM Multimedia 2022; peer-revieweddocument-ai, layout, multimodal
662022Matryoshka Representation LearningNeurIPS 2022; peer-reviewedembeddings, adaptive-dimension, efficiency
672022Measuring and Narrowing the Compositionality Gap in Language ModelsICLR 2023; peer-reviewedself-ask, decomposition, search
682022MTEB: Massive Text Embedding BenchmarkEACL 2023; peer-reviewedembeddings, benchmark
692022One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsFindings ACL 2023; peer-reviewedembeddings, instructions
702022RARR: Researching and Revising What Language Models Say, Using Language ModelsACL 2023; peer-reviewedverification, revision, attribution
712022RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-EncoderEMNLP 2022; peer-revieweddense-retrieval, pretraining, masked-autoencoder
722022SimLM: Pre-training with Representation Bottleneck for Dense Passage RetrievalACL 2023; peer-revieweddense-retrieval, pretraining, bottleneck
732022When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric MemoriesACL 2023; peer-reviewedlong-tail, parametric-memory, benchmark
742022-05PLAID: An Efficient Engine for Late Interaction RetrievalarXiv; preprintlate-interaction, indexing, efficiency
752022-05QAMPARI: An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple ParagraphsarXiv; preprintlist-qa, long-form, benchmark
762022-05SPLADE++: Ensemble Distillation for High Performance Sparse Information RetrievalarXiv; preprintlearned-sparse, distillation, hard-negatives
772022-08-05Atlas: Few-shot Learning with Retrieval Augmented Language ModelsJMLR 2023; peer-reviewedpretraining, few-shot, distillation
782022-10-06MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and TextEMNLP 2022; peer-reviewedmultimodal, images, qa
792022-10-06ReAct: Synergizing Reasoning and Acting in Language ModelsICLR 2023; peer-reviewedagents, tool-use, reasoning
802022-11-22Retrieval-Augmented Multimodal Language ModelingarXiv; preprintmultimodal, generation
812022-12Text Embeddings by Weakly-Supervised Contrastive Pre-trainingarXiv; preprintembeddings, weak-supervision, contrastive
822022-12-20Precise Zero-Shot Dense Retrieval without Relevance LabelsACL 2023; peer-reviewedquery-transformation, hypothetical-document

2023

#First publicWorkVenue/statusTopics
832023AdANNS: A Framework for Adaptive Semantic SearchNeurIPS 2023; peer-reviewedann, adaptive-representation, efficiency
842023ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation SystemsNAACL 2024; peer-reviewedevaluation, prediction-powered-inference
852023CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector RetrievalACL 2023; peer-reviewedmulti-vector, lexical-routing, efficiency
862023Efficient Memory Management for Large Language Model Serving with PagedAttentionSOSP 2023; peer-reviewedserving, paged-attention, systems
872023Enabling Large Language Models to Generate Text with CitationsEMNLP 2023; peer-reviewedcitations, attributed-generation, benchmark
882023FreshLLMs: Refreshing Large Language Models with Search Engine AugmentationFindings ACL 2024; peer-reviewedfreshness, search, dynamic-qa
892023How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense RetrievalFindings EMNLP 2023; peer-revieweddense-retrieval, augmentation, generalization
902023Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsEMNLP 2023; peer-reviewedreranking, llm, listwise
912023LLMLingua: Compressing Prompts for Accelerated Inference of Large Language ModelsEMNLP 2023; peer-reviewedprompt-compression, efficiency
922023LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt CompressionACL 2024; peer-reviewedprompt-compression, long-context, position-bias
932023RAGAS: Automated Evaluation of Retrieval Augmented GenerationEACL 2024 Demo; peer-reviewedevaluation, faithfulness
942023RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsACL 2024; peer-reviewedhallucination, span-labels
952023RankT5: Fine-Tuning T5 for Text Ranking with Ranking LossesSIGIR 2023; peer-reviewedreranking, listwise, ranking-loss
962023Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and LimitationsNeurIPS 2023; peer-reviewedann, robustness, theory
972023-03RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and GenerationEMNLP 2023; peer-reviewedcode, iterative-retrieval, generation
982023-03-14Query2doc: Query Expansion with Large Language ModelsarXiv; preprintquery-expansion, pseudo-document
992023-04XTR: Rethinking the Role of Token Retrieval in Multi-Vector RetrievalarXiv; preprintmulti-vector, token-retrieval, efficiency
1002023-05-11Active Retrieval Augmented GenerationEMNLP 2023; peer-reviewedactive-retrieval, uncertainty
1012023-05-23Query Rewriting for Retrieval-Augmented Large Language ModelsEMNLP 2023; peer-reviewedquery-rewriting, reinforcement-learning
1022023-05-24Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation SynergyarXiv; preprintiterative-retrieval, generation
1032023-07-06Lost in the Middle: How Language Models Use Long ContextsTACL 2024; peer-reviewedlong-context, position, distraction
1042023-08LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingarXiv; preprintlong-context, benchmark, bilingual
1052023-08-25Nougat: Neural Optical Understanding for Academic DocumentsICLR 2024; peer-reviewedocr, scientific-documents, parsing
1062023-09-04Benchmarking Large Language Models in Retrieval-Augmented GenerationAAAI 2024; peer-reviewedevaluation, noise, counterfactual
1072023-10RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective AugmentationICLR 2024; peer-reviewedcompression, selective-augmentation
1082023-10-17Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionICLR 2024; peer-reviewedadaptive-retrieval, reflection, citations
1092023-12Dense X Retrieval: What Retrieval Granularity Should We Use?EMNLP 2024; peer-reviewedpropositions, chunking, granularity

Adaptive, multimodal, secure, and production RAG (2024–2026)

2024

#First publicWorkVenue/statusTopics
1102024AgentPoison: Red-Teaming LLM Agents via Poisoning Memory or Knowledge BasesNeurIPS 2024; peer-reviewedsecurity, poisoning, backdoor
1112024C-RAG: Certified Generation Risks for Retrieval-Augmented Language ModelsICML 2024; peer-reviewedconformal-risk, certification
1122024CRAG: A Comprehensive RAG BenchmarkNeurIPS 2024 Datasets and Benchmarks; peer-reviewedbenchmark, freshness, long-tail
1132024Docling Technical ReportarXiv; preprintdocument-parsing, layout, tables
1142024Don't Forget Private Retrieval: Distributed Private Similarity Search for Large Language ModelsPrivacy in NLP 2024; peer-reviewedprivacy, mpc, similarity-search
1152024Generative Representational Instruction TuningICLR 2025; peer-reviewedembeddings, generation, efficiency
1162024HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsNeurIPS 2024; peer-reviewedgraph, pagerank, multi-hop
1172024Hybrid Text Retrieval with Large Language Models: A Study of Robustness and GeneralizationLREC-COLING 2024; peer-reviewedreranking, hybrid, robustness
1182024Introducing Contextual RetrievalAnthropic Engineering; industry-reportcontextual-retrieval, chunking, hybrid
1192024LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt CompressionFindings ACL 2024; peer-reviewedprompt-compression, distillation
1202024Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAGICLR 2025; peer-reviewedlong-context, distraction, top-k
1212024LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive MemoryICLR 2025; peer-reviewedmemory, benchmark, updates
1222024MMTEB: Massive Multilingual Text Embedding BenchmarkICLR 2025; peer-reviewedmultilingual, embeddings, benchmark
1232024NoMIRACL: Knowing When You Don't Know for Robust Multilingual Retrieval-Augmented GenerationFindings EMNLP 2024; peer-reviewedmultilingual, abstention, hallucination
1242024PDF-to-Tree: Parsing PDF Content into a Tree StructureFindings EMNLP 2024; peer-reviewedpdf, parsing, hierarchy
1252024PoisonedRAG: Knowledge Poisoning Attacks to Retrieval-Augmented Generation of Large Language ModelsUSENIX Security 2025; peer-reviewedsecurity, poisoning
1262024RAGBench: Explainable Benchmark for Retrieval-Augmented Generation SystemsarXiv; preprintbenchmark, evaluation, trace
1272024RAGChecker: A Fine-Grained Framework for Diagnosing Retrieval-Augmented GenerationNeurIPS 2024 Datasets and Benchmarks; peer-reviewedevaluation, claims, diagnostics
1282024RaLMSpec: Accelerating Retrieval-Augmented Language Model Serving with SpeculationICML 2024; peer-reviewedsystems, latency, speculation
1292024RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMsNeurIPS 2024; peer-reviewedreranking, instruction-tuning
1302024Sufficient Context: A New Lens on Retrieval Augmented Generation SystemsICLR 2025; peer-reviewedabstention, context-sufficiency
1312024The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented GenerationFindings ACL 2024; peer-reviewedprivacy, extraction, rag
1322024TREC Retrieval-Augmented Generation TrackNIST TREC 2024-2026; benchmark-programbenchmark, citations, external-judgments
1332024-01MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop QueriesarXiv; preprintmulti-hop, rag, benchmark
1342024-01-29Corrective Retrieval Augmented GenerationarXiv; preprintcorrection, web-search, routing
1352024-01-30CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented GenerationACM TOIS; peer-reviewedevaluation, crud, chinese
1362024-01-31RAPTOR: Recursive Abstractive Processing for Tree-Organized RetrievalICLR 2024; peer-reviewedhierarchical-retrieval, summaries
1372024-03MedRAG: Enhancing Large Language Models in Medicine with Retrieval-Augmented GenerationarXiv; preprintmedical, rag, domain
1382024-03RAFT: Adapting Language Model to Domain Specific RAGarXiv; preprintdomain-adaptation, fine-tuning, rag
1392024-03Repoformer: Selective Retrieval for Repository-Level Code CompletionICML 2024; peer-reviewedcode, selective-retrieval, generation
1402024-03-21Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question ComplexityNAACL 2024; peer-reviewedrouting, complexity, efficiency
1412024-04-24From Local to Global: A Graph RAG Approach to Query-Focused SummarizationMicrosoft Research; industry-reportgraph, global-synthesis, communities
1422024-06-27ColPali: Efficient Document Retrieval with Vision Language ModelsICLR 2025; peer-reviewedvisual-retrieval, late-interaction, documents
1432024-07BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive RetrievalICLR 2025; peer-reviewedbenchmark, reasoning-retrieval
1442024-07-23Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid ApproachEMNLP Industry 2024; peer-reviewedlong-context, routing, self-route
1452024-09Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding ModelsarXiv; preprintchunking, contextual-embeddings
1462024-10-14VisRAG: Vision-based Retrieval-Augmented Generation on Multi-modality DocumentsICLR 2025; peer-reviewedvisual-rag, documents, generation

2025

#First publicWorkVenue/statusTopics
1472025Auditing Prompt Caching in Language Model APIsICML 2025; peer-reviewedcaching, privacy, side-channel
1482025Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented GenerationEMNLP 2025; peer-reviewedprivacy, multimodal, extraction
1492025ComRAG: A Conversational Retrieval-Augmented Generation Framework with Dynamic Memory ConsolidationACL Industry 2025; peer-reviewedmemory, consolidation, latency
1502025DeepRAG: Thinking to Retrieval Step by Step for Large Language ModelsICLR 2026; peer-reviewedretrieval-policy, mdp, reasoning
1512025DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented GenerationACL 2025; peer-revieweddynamic-rag, retrieval-trigger, context-selection
1522025From RAG to Memory: Non-Parametric Continual Learning for Large Language ModelsICML 2025; peer-reviewedgraph, memory, multi-hop
1532025Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive BenchmarksICLR 2026; peer-revieweddatastore, systems, reasoning
1542025GaRAGe: A Benchmark for Grounded and Reliable RAG EvaluationFindings ACL 2025; peer-reviewedgrounding, deflection, citations
1552025HiPRAG: Hierarchical Process Rewards for Retrieval-Augmented GenerationICLR 2026; peer-reviewedprocess-reward, search-efficiency
1562025How Does Knowledge Selection Help Retrieval Augmented Generation?Findings EMNLP 2025; peer-reviewedselection, reranking, generation
1572025Knowledgeable-R1: Learning to Know When to Search and Trust External KnowledgeICLR 2026; peer-reviewedconflict, parametric-knowledge, reinforcement-learning
1582025Learning Contextual Retrieval for Robust Conversational SearchEMNLP 2025; peer-reviewedconversation, contextual-retrieval, embeddings
1592025Learning Distraction-Aware Retrieval for Retrieval-Augmented GenerationICLR 2026; peer-revieweddistraction, evidence-utility, long-context
1602025M+: Extending MemoryLLM with Scalable Long-Term MemoryICML 2025; peer-reviewedlatent-memory, retrieval
1612025M3DocVQA: A Benchmark for Multi-Modal Multi-Document Question AnsweringICCV 2025 Workshop; peer-reviewedmultimodal, multi-document, benchmark
1622025MoLoRAG: Bootstrapping VLM-Based Retrieval with a Multi-Modal Document GraphEMNLP 2025; peer-reviewedvisual-rag, graph, documents
1632025mt RAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation SystemsTACL 2025; peer-reviewedmulti-turn, benchmark
1642025PropRAG: Guiding Retrieval with Beam Search over Proposition PathsEMNLP 2025; peer-reviewedpropositions, beam-search, multi-hop
1652025Q-RAG: Learning to Select Evidence with Value-Based Reinforcement LearningICLR 2026 Oral; peer-reviewedretrieval-policy, value-learning, long-context
1662025RAG LLMs Are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language ModelsNAACL 2025; peer-reviewedsafety, robustness
1672025REAL-MM-RAG: A Real-World Multi-Modal Retrieval Augmented Generation BenchmarkACL 2025; peer-reviewedmultimodal, benchmark
1682025ReasonIR: Training Retrievers for Reasoning TasksCOLM 2025; peer-reviewedreasoning-retrieval, hard-negatives
1692025RemoteRAG: A Privacy-Preserving LLM Cloud RAG ServiceFindings ACL 2025; peer-reviewedprivacy, differential-privacy, cloud
1702025ReSearch: Learning to Reason with Search for LLMs via Reinforcement LearningNeurIPS 2025; peer-reviewedagentic-rag, grpo
1712025Retrieval-Augmented Reasoning with Query-Specific Knowledge GraphsICLR 2026; peer-revieweddynamic-graph, reasoning
1722025RMM: Reinforced Memory Management for Long-Term Conversational AgentsACL 2025; peer-reviewedmemory, conversation, reinforcement-learning
1732025SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language ModelACL 2025; peer-reviewedsecurity, benchmark, conflict
1742025Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningCOLM 2025; peer-reviewedagentic-rag, reinforcement-learning, search
1752025SeCon-RAG: A Security-Conscious Retrieval-Augmented Generation FrameworkNeurIPS 2025; peer-reviewedsecurity, filtering, conflict
1762025Shifting from Ranking to Set Selection for Retrieval Augmented GenerationACL 2025; peer-reviewedset-selection, multi-hop, reranking
1772025StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy OptimizationEMNLP 2025; peer-reviewedagentic-rag, process-reward
1782025Stronger Baselines for Retrieval-Augmented Generation with Long-Context Language ModelsEMNLP 2025; peer-reviewedlong-context, rag, baselines
1792025syftr: Pareto-Optimal Generative AIAutoML / PMLR 2025; peer-reviewedautoml, pareto, cost
1802025TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document ReasoningEMNLP 2025; peer-reviewedtables, sql, heterogeneous-documents
1812025Think&Cite: Improving Attributed Text Generation with Self-Guided MCTSACL 2025; peer-reviewedcitations, mcts, attribution
1822025Visual Document Retrieval-Augmented Generation with Dynamic Token CompressionCVPR 2025; peer-reviewedvisual-rag, compression
1832025When to Use Graphs in Retrieval-Augmented GenerationICLR 2026; peer-reviewedgraph, benchmark, component-analysis

2026

#First publicWorkVenue/statusTopics
1842026CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMsFindings ACL 2026; peer-reviewedcode, prompt-compression, rag
1852026Dissecting GraphRAG: A Modular Analysis of Knowledge Structuring for Factoid Question AnsweringTACL 2026; peer-reviewedgraph-rag, ablation, evaluation
1862026Exposing Privacy Risks in Graph Retrieval-Augmented GenerationFindings ACL 2026; peer-reviewedprivacy, graph-rag, extraction
1872026HiChunk: Evaluating and Enhancing Retrieval Augmented Generation with Hierarchical ChunkingACL 2026; peer-reviewedchunking, hierarchical, evaluation
1882026MegaRAG: Multimodal Knowledge Graph Retrieval-Augmented GenerationACL 2026; peer-reviewedmultimodal, graph
1892026NEST: Nested Evidence Survival for RetrievalACL Industry 2026; peer-reviewedevidence-selection, noise, retrieval
1902026Overcoming the Retrieval Barrier: Indirect Prompt Injection in the Wild for LLM SystemsUSENIX Security 2026; peer-reviewedsecurity, prompt-injection, retrieval
1912026PRA-RAG: Provably Robust Aggregation for Retrieval-Augmented GenerationFindings ACL 2026; peer-reviewedsecurity, provable-robustness, poisoning
1922026PROGRAM: Programmatic Retrieval Optimization with Generative Reasoning and Augmented Multi-queriesFindings ACL 2026; peer-reviewedprogrammatic-retrieval, multi-hop
1932026R3AG: Retriever Routing for Retrieval-Augmented GenerationACL 2026; peer-reviewedrouting, retrievers, rag
1942026RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and BenchmarkingFindings ACL 2026; peer-reviewedtables, hierarchical-index, graph
1952026Region-R1: Reinforcing Query-Side Region Cropping for Multi-Modal Re-RankingFindings ACL 2026; peer-reviewedmultimodal, reranking, reinforcement-learning
1962026Retrieval as Generation: A Unified Framework with Self-Triggered Information PlanningACL 2026; peer-reviewedretrieval-control, generation, reinforcement-learning
1972026RobustVisRAG: Robust Retrieval-Augmented Generation for Real-World Visual Document UnderstandingCVPR 2026; peer-reviewedvisual-rag, robustness, distortion
1982026RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement LearningFindings ACL 2026; peer-reviewedrouting, graph, reinforcement-learning
1992026SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented GenerationFindings EACL 2026; peer-reviewedlayout, visual-rag, document-parsing
2002026SemEval-2026 Task 8: MTRAGEval - Evaluating Multi-Turn Retrieval-Augmented GenerationSemEval 2026; peer-reviewedmulti-turn, benchmark, retrieval
2012026T2-RAGBench: Text-and-Table Benchmark for Evaluating Retrieval-Augmented GenerationEACL 2026; peer-reviewedtables, benchmark, numerical-reasoning
2022026Tackling Distractor Documents in Multi-Hop QA with Reinforcement and Curriculum LearningFindings EACL 2026; peer-reviewedcitations, curriculum, distractors
2032026When Good OCR Is Not Enough: Benchmarking OCR Robustness for Retrieval-Augmented GenerationACL Industry 2026; peer-reviewedocr, benchmark, document-rag

Coverage and maintenance rules

The index is broad by design, but it is not a claim that every publication ever using retrieval appears here. A work enters the registry when it is needed to support a historical, mechanism, empirical, evaluation, security, or systems claim in this repository. The coverage matrix shows which lifecycle surface each body of work supports.

When adding a source:

  1. prefer final official proceedings, then accepted-paper/author manuscript, then an original preprint or first-party report;
  2. record earliest public date separately from venue year;
  3. use a unique stable ID and primary URL;
  4. label status without upgrading preprints or industry reports;
  5. attach specific topic tags and update the substantive chapter;
  6. regenerate this file and the complete handbook notebook; and
  7. run the full validator so dates, links, notebook execution, and coverage remain synchronized.
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