Retrieval-Augmented ICL

ICL: In-Context Learning

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9 papers in the last four weeks, with none the four weeks before. 0.1% of all new papers.

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  1. Retrieval-Based In-Context Learning: A Domain Adaptation Framework

    Oct 5, 2026Yilun Zhu, Naihao Deng, Yingcong Li +2Distribution ShiftDomain Adaptation

    University of Michigan. · New Jersey Institute of Technology. · Northwestern University.

  2. When Does Retrieval Help? A Study of In-Context Adaptation in Vision-Language-Action Models

    Oct 4, 2026Zixuan Liu, Joris Köster, Zizhan Zheng +1Vision-Language-Action ModelsRetrieval-Augmented ICL

    Department of Computer Science, Tulane University · Department of Computer Science, Aalto University · Department of Industrial Engineering and Management, Aalto University

  3. You Only Edit Once: Incentivizing In-Context Capability of LLMs via Local Demonstration Refinement

    Sep 27, 2026Jiarong Wen, Qi Wang, Yun Qu +8LLM Inference EfficiencyIn-Context Example Selection

    Department of Automation, Tsinghua University

  4. URA-NER: A Unified Retrieval-Augmented Framework with Retrieval Alignment and Uncertainty Reduction for Low-Resource NER

    Sep 21, 2026Jingyu Wang, Shijie Wu, Fusheng JinNamed Entity RecognitionIn-Context Learning

    School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

  5. Representation-guided in-context learning for medical image interpretation with multimodal large language models

    Sep 21, 2026Minda Zhao, Fangyu Hu, Yan Luo +8Medical Image AnalysisMultimodal Large Language Models

    Harvard AI and Robotics Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA · Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA · Department of Ophthalmology, National Taiwan University Hospital, Taipei City, Taiwan +6

  6. Where Should a Document Live: Context, Representations, or Parameters?

    Sep 15, 2026Nathanaël Carraz Rakotonirina, Momchil Hardalov, Gonzalo Iglesias +1Memory-Augmented Language ModelsKnowledge Augmentation for Language Models

    Amazon AGI

  7. Option-Aware Retrieval and Task-Specific VLM Adaptation for Medical VQA

    Sep 14, 2026Tristan Kirscher, Niklas C. Koser, Soren PirkVLM AdaptationMultiple-Choice Question Answering

    ICube, Institut Strauss · ICube Laboratory, CNRS UMR 7357, University of Strasbourg, Strasbourg, France · CLCC Institut Strauss, Strasbourg, France +2

  8. Beyond Surface Imitation: Contrastive Modeling for Reasoning Path Alignment in Multimodal In-Context Learning

    Sep 9, 2026Mingbo Yang, Wenqiang Wang, Zhaolu Kang +4Contrastive LearningMultimodal ICL

    Sun Yat-Sen University Shenzhen, Guangdong, China · Peking University Beijing, Beijing, China · Sun Yat-Sen University Shenzhen, Guangdong, China Pengcheng Laboratory +1

  9. MUCnoHARM@GermEval Shared Task 2026: Retrieval-based In-Context Learning for Defamatory Offences, and Where It Falls Short

    Sep 9, 2026Kristin Gnadt, Maximilian Meidinger, Matthias AßenmacherLegal NLPIn-Context Retrieval

    Central Office for Information Technology in the Security Sector (ZITiS), Munich, Germany · Department of Statistics, LMU Munich, Germany · Munich Center for Machine Learning (MCML), Germany

  10. AAS-RAIL: Improving Information Extraction for Asset Administration Shells through Retrieval-Augmented In-Context Learning

    Sep 7, 2026Janek Groß, Jens HeidrichDocument Information ExtractionLLM Information Extraction

    University of Applied Sciences Mainz, Mainz, Rhineland-Palatinate, Germany

  11. Align-RAG: Alignment Is All You Need for TSFM In-Context Learning

    Aug 6, 2026Mohammad Asadi, Soheil Hor, Bardiya Akhbari +6Zero-Shot Time Series ForecastingRetrieval-Augmented ICL

    1Stanford University 2Amazon

  12. Gradient-free Task-Conditioned Retrieval for On-Device In-Context Learning

    Jul 30, 2026Xinyu Luo, Hui Liu, Yihua Shao +3In-Context Example SelectionIn-Context Retrieval

    City University of Hong Kong, China · Institute of Automation Chinese Academy of Sciences, China

  13. RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment

    Jul 29, 2026Hansi Karunarathna, Nirhoshan Sivaroopan, Chamara Madarasingha +2Human Activity RecognitionCost-Aware Inference

    University of Sydney, Australia · Curtin University, Australia · Colorado State University, USA

  14. In-Context Learning for Wound Classification with Small Multimodal Language Models

    Jul 21, 2026George Martvel, Oskar Gustafsson, John Pavia +1Multimodal ICLMultimodal Large Language Models

    1Jönköping University, Jönköping, Sweden · 2Halmstad University, Halmstad, Sweden · 3Mölnlycke Health Care +1

  15. GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models

    Jun 10, 2026Garvita Allabadi, Matteo Sodano, Roberto Estevão +4Multimodal ICLMultimodal Large Language Models

    University of Illinois Urbana Champaign · University of Bonn · Microsoft

  16. LLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning

    Jun 10, 2026Qing Huang, Pooja Pol, Jianing ZhangLLM-Assisted AnnotationEmotion Recognition in Conversations

    School of Business, Technical University of Applied Sciences Augsburg, Friedberger Str. 4, 86161 Augsburg, Germany · Data Science und Autonome Systeme Technologietransferzentrum (TTZ), An der Schmiede 19, 86899 Landsberg am Lech, Germany

  17. RA-LWLM: Retrieval-Augmented In-Context Localization with Wireless Foundation Models

    Jun 1, 2026Guangjin Pan, Hui Chen, Hei Victor Cheng +1Wireless CommunicationsIn-Context Learning

    Department of Electrical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden · Department of Electrical and Computer Engineering, Aarhus University, Denmark

  18. Med-HEAL: Analyzing and Mitigating Hallucinations in Medical LLMs with Hallucination-Aware In-Context Learning

    May 31, 2026Yiming Liao, Zeno Franco, Jose Eduardo Lizarraga Mazaba +1LLM Self-CorrectionLLM Hallucination Mitigation

    University of Maryland, Baltimore County Baltimore, Maryland, USA · Concordia University Wisconsin · Medical College of Wisconsin Milwaukee, Wisconsin USA

  19. In-Context Optimization for Retrieval-Augmented Generation: A Gradient-Descent Perspective

    May 25, 2026Mingchen Li, Jiatan Huang, Chuxu Zhang +2Retrieval-Augmented GenerationTest-Time Adaptation

    University of Massachusetts, Amherst · University of Connecticut · Emory University

  20. Membership Inference Attacks for Retrieval Based In-Context Learning for Document Question Answering

    May 5, 2026Tejas Kulkarni, Antti Koskela, Laith ZumotIn-Context RetrievalMembership Inference Attacks

    Nokia Bell Labs · Nokia

  21. Job Skill Extraction via LLM-Centric Multi-Module Framework

    Apr 23, 2026Guojing Li, Zichuan Fu, Junyi Li +8Document Information ExtractionLLM Information Extraction

    City University of Hong Kong · Renmin University of China · 1City University of Hong Kong. +1

  22. The Structural Attention Tax: How Retrieval Format Hijacks In-Context Learning Independent of Content

    Apr 21, 2026Yuqi Zhang, Di ZhangRetrieval-Augmented GenerationSelf-Attention

    Xi’an Jiaotong-Liverpool University

  23. LLM Program Optimization via Retrieval Augmented Search

    Jan 31, 2025Sagnik Anupam, Alexander Shypula, Osbert BastaniLarge Language Model-Guided OptimizationIn-Context Learning

    University of Pennsylvania