mlsanityData to 7 Oct 2026

Information Retrieval: Recent Advances and Beyond

arXiv 2301.08801 ↗First posted 20 Jan 2023cs.IRcited by 49

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Abstract (arXiv)

In this paper, we provide a detailed overview of the models used for information retrieval in the first and second stages of the typical processing chain. We discuss the current state-of-the-art models, including methods based on terms, semantic retrieval, and neural. Additionally, we delve into the key topics related to the learning process of these models. This way, this survey offers a comprehensive understanding of the field and is of interest for for researchers and practitioners entering/working in the information retrieval domain.

Key facts. Cited by 49 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Jan 2023.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 12; 2025: 27; 2026: 8.

49 papers.

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  1. 2025Benchmarking Prompt Sensitivity in Large Language Modelscited by 38
  2. 2024RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processingcited by 25
  3. 2023MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansioncited by 22
  4. 2024Question-Based Retrieval using Atomic Units for Enterprise RAGcited by 16
  5. 2024Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAGcited by 16
  6. 2024Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systemscited by 15
  7. 2025Interpretable Text Embeddings and Text Similarity Explanation: A Surveycited by 12
  8. 2025Iterative Self-Incentivization Empowers Large Language Models as Agentic Searcherscited by 11
  9. 2025Keyword search is all you need: Achieving RAG-Level Performance without vector databases using agentic tool usecited by 10
  10. 2024PhysBERT: A Text Embedding Model for Physics Scientific Literaturecited by 8
  11. 2025A Survey on Retrieval And Structuring Augmented Generation with Large Language Modelscited by 8
  12. 2024SynapticRAG: Enhancing Temporal Memory Retrieval in Large Language Models through Synaptic Mechanismscited by 5
37 more
  1. 2025Bias-Aware Agent: Enhancing Fairness in AI-Driven Knowledge Retrievalcited by 5
  2. 2025LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrievalcited by 5
  3. 2024COS-Mix: Cosine Similarity and Distance Fusion for Improved Information Retrievalcited by 4
  4. 2024Smart Audit System Empowered by LLMcited by 4
  5. 2024ASSERTIFY: Utilizing Large Language Models to Generate Assertions for Production Codecited by 4
  6. 2025EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generationcited by 4
  7. 2025From Ranking to Selection: A Simple but Efficient Dynamic Passage Selector for Retrieval Augmented Generationcited by 4
  8. 2025Test-time Corpus Feedback: From Retrieval to RAGcited by 3
  9. 2023NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoderscited by 2
  10. 2025DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact Verificationcited by 2
  11. 2025+VeriRel: Verification Feedback to Enhance Document Retrieval for Scientific Fact Checkingcited by 2
  12. 2025Investigating LLM Variability in Personalized Conversational Information Retrievalcited by 2
  13. 2025MedAI: Evaluating TxAgent's Therapeutic Agentic Reasoning in the NeurIPS CURE-Bench Competitioncited by 2
  14. 2024Enhancing Retrieval Processes for Language Generation with Augmented Queriescited by 1
  15. 2024URL: Universal Referential Knowledge Linking via Task-instructed Representation Compressioncited by 1
  16. 2024MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation Functionscited by 1
  17. 2025RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competitioncited by 1
  18. 2025SHE: Stepwise Hybrid Examination Reinforcement Learning Framework for E-commerce Search Relevancecited by 1
  19. 2025Multi-Objective Planning with Contextual Lexicographic Reward Preferencescited by 0
  20. 2025Leveraging Natural Language Processing to Unravel the Mystery of Life: A Review of NLP Approaches in Genomics, Transcriptomics, and Proteomicscited by 0
  21. 2025Mechanistic Decomposition of Sentence Representationscited by 0
  22. 2025NEAR2: A Nested Embedding Approach to Efficient Product Retrieval and Rankingcited by 0
  23. 2025NEU-ESC: A Comprehensive Vietnamese dataset for Educational Sentiment analysis and topic Classification toward multitask learningcited by 0
  24. 2025Ontology-Guided Query Expansion for Biomedical Document Retrieval using Large Language Modelscited by 0
  25. 2025ReCap: Event-Aware Image Captioning with Article Retrieval and Semantic Gaussian Normalizationcited by 0
  26. 2025Fine-grained auxiliary learning for real-world product recommendationcited by 0
  27. 2025Repeatability is not recovery: Quantifying algorithmic stability and topic recovery in Latent Dirichlet Allocationcited by 0
  28. 2025A Multimodal Conversational Agent for Tabular Data Analysiscited by 0
  29. 2025Generative Query Expansion with Multilingual LLMs for Cross-Lingual Information Retrievalcited by 0
  30. 2026To Case or Not to Case: An Empirical Study in Learned Sparse Retrievalcited by 0
  31. 2026GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Searchcited by 0
  32. 2026The Initial Exploration Problem in Knowledge Graph Explorationcited by 0
  33. 2026A Two-Stage Architecture for NDA Analysis: LLM-based Segmentation and Transformer-based Clause Classificationcited by 0
  34. 2026Ontology-driven personalized information retrieval for XML documentscited by 0
  35. 2026UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidatescited by 0
  36. 2026Forgotten History or Test-of-Time? Retrospect and Prospect on RAG from an IR Perspectivecited by 0
  37. 2026BoundaryMORPH: Budgeted Reranking via Active Set Selection for Diffuse Retrievalcited by 0