In-Context Learning

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25 papers in the last 28 days · 0.4% of indexed attention

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Period ending 2026-09-21

9 new papers

A weekly snapshot of new work published in In-Context Learning.

Period ending 2026-09-14

7 new papers

A weekly snapshot of new work published in In-Context Learning.

Period ending 2026-09-07

10 new papers

A weekly snapshot of new work published in In-Context Learning.

259 papers

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  1. Beyond Model Size: Probing the Gaps in Visual in-Context Learning by Training a Tiny Model

    Jun 9, 2026Sunil Khatri, Steven Landgraf, Markus Ulrich +1Vision Foundation ModelsVisual In-Context Learning

  2. Pose-ICL: 3D-Aware In-Context Learning for Pose-Controllable Subject Customization

    Jun 9, 2026Xuan Han, Yihao Zhao, Mingyu You3D Generative ModelsIn-Context Learning

  3. Listen, Look, and Learn: Learning Without Forgetting through SAM-Audio

    Jun 9, 2026Avi Gupta, Nilotpal Sinha, Vishnu Raj +4Domain Incremental LearningCatastrophic Forgetting

  4. SCAIL-2: Unifying Controlled Character Animation with End-to-end In-Context Conditioning

    Jun 9, 2026Wenhao Yan, Fengjia Guo, Zhuoyi Yang +1Synthetic Motion DatasetsIntermediate Representations

  5. In-Context Learning for Latent Space Bayesian Optimization

    Jun 8, 2026Tuan A. Vu, Harri Lähdesmäki, Julien MartinelliBayesian OptimizationMolecular Optimization

  6. In-Context Learning for the Imputation of Public Opinion Data with Large Language Models

    Jun 8, 2026Tobias Holtdirk, Georg Ahnert, Joseph W Sakshaug +1ImputationSurvey

  7. Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification

    Jun 5, 2026Sercan Karakaş, Yusuf ŞimşekIn-Context LearningBinary Classification

  8. TabSwift: An Efficient Tabular Foundation Model with Row-Wise Attention

    Jun 5, 2026Si-Yang Liu, Han-Jia YeTabular Foundation ModelsTabular Prior-Data Fitted Network

  9. αα-PFN: Fast Entropy Search via In-Context Learning

    Jun 5, 2026Herilalaina Rakotoarison, Steven Adriaensen, Tom Viering +4Bayesian OptimizationSearch Algorithms

  10. The Effect of Training Task Diversity on In-Context Learning through the Lens of Low-Dimensional Subspaces

    Jun 5, 2026Soo Min Kwon, Alec S. Xu, Can Yaras +3In-Context LearningUnified Transformer

  11. In-Context Multiple Instance Learning

    Jun 4, 2026Alexander Möllers, Marvin Sextro, Julius Hense +2Multiple Instance LearningIn-Context Learning

  12. Reinforcement Learning Elicits Contextual Learning of Unseen Language Translation

    Jun 4, 2026Hanxu Hu, Zdeněk Šnajdr, Pinzhen Chen +2In-Context LearningLow-Resource Languages

  13. Activation-Based Active Learning for In-Context Learning: Challenges and Insights

    Jun 3, 2026Yaseen M. Osman, Geoff V. Merrett, Stuart E. MiddletonIn-Context LearningModel Activations

  14. FoeGlass: Simple In-Context Learning Is Enough for Red Teaming Audio Deepfake Detectors

    Jun 3, 2026Sepehr Dehdashtian, Jacob H Seidman, Vishnu N Boddeti +1Audio Deepfake DetectionAudio

  15. Hyper-ICL: Attention Calibration with Hyperbolic Anchor Distillation for Multimodal In-Context Learning

    Jun 3, 2026Niloufar Alipour Talemi, Hossein Kashiani, Fatemeh AfghahMulti-Modal Large Language ModelsIn-Context Learning

  16. OpenRFM: Dissecting Relational In-Context Learning

    Jun 3, 2026Zhikai Chen, Junyu Yin, Jialiang Gu +5Relational Deep LearningIn-Context Learning

  17. An Asymptotic Theory of Chain-of-Thought in In-Context Learning

    Jun 2, 2026Kaito Takanami, Cengiz PehlevanIn-Context LearningChain-of-Thought Reasoning

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

    Jun 1, 2026Guangjin Pan, Hui Chen, Hei Victor Cheng +1Wireless NetworksRobust Localization

  19. Algorithmic Recourse of In-Context Learning for Tabular Data

    May 29, 2026Wenshuo Dong, Jiaming Zhang, Shaopeng Fu +3Tabular LearningIn-Context Learning

  20. FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization

    May 29, 2026Mohammed Asad Karim, Vinay Kumar VermaSequential Visual LocalizationIn-Context Learning

  21. Causal Interventions on Continuous Variables: A Case Study on Verb Bias in Steering Vectors for In-Context Learning

    May 28, 2026Zhenghao Herbert Zhou, R. Thomas McCoy, Robert FrankCausal InterventionActivation Steering

  22. ParaTool: Shifting Tool Representations from Context to Parameters

    May 28, 2026Zekai Yu, Qi Meng, Qizhi Chu +3Tool InvocationMulti-Turn Tool-Use Agent

  23. AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning

    May 27, 2026Zhen-Hao Xie, Yu-Cheng Shi, Da-Wei ZhouDomain Incremental LearningIn-Context Learning

  24. Understanding Generalization and Forgetting in In-Context Continual Learning

    May 27, 2026Guangyu Li, Meng Ding, Lijie HuIn-Context LearningEfficient Continual Learning

  25. Explaining is Harder Than Predicting Alone: Evaluating Concept-based Explanations of MLLMs as ICL Visual Classifiers

    May 27, 2026Carmen Quiles-Ramírez, Leticia L. Rodríguez, Nicolás Martorell +1ExplainabilityMulti-Modal Large Language Models

  26. Reflective Dialogue between Teacher and Solver Agents for Video Question Answering

    May 27, 2026Takuya Murakawa, Toru TamakiVideo Question AnsweringIn-Context Learning

  27. Fine-Tuning Dynamics of In-Context Factual Recall in Transformers

    May 26, 2026Ruomin Huang, Eshaan Nichani, Jason D. Lee +1In-Context LearningIn-Context

  28. LUCoS: Latent Unsupervised Context Selection for Tabular Foundation Models

    May 26, 2026Oroel Ipas, Guillermo Gomez-Trenado, Rocío Romero-Zaliz +1Tabular LearningIn-Context Learning

  29. ICCU: In-Context Continual Unlearning via Pattern-Induced Refusal Rules

    May 26, 2026Ruihao Pan, Suhang WangLarge Language Model UnlearningIn-Context Learning

  30. Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning

    May 26, 2026Junkai Chen, Yuhao He, Junxiang You +3Multi-Modal Large Language ModelsChain-Of-Thought Distillation

  31. ContextGuard: Structured Self-Auditing for Context Learning in Language Models

    May 26, 2026Hongbo Jin, Chi Wang, Haoran Tang +5In-Context LearningReasoning Paths

  32. Transformers Can Learn Posterior Predictive Distributions In-Context

    May 26, 2026Gyeonghun Kang, Changwoo J. Lee, Xiang ChengPosteriorTransformer Architectures

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

    May 25, 2026Mingchen Li, Jiatan Huang, Chuxu Zhang +2Retrieval-Augmented Generation SystemsIn-Context Learning

  34. When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning

    May 25, 2026Chenghao Qiu, Chunli Peng, Yufeng Yang +2In-Context LearningNatural Language Inference

  35. On the Role of Inductive Bias in Time-Series Pretraining: A Case Study in Learning Generalizable Representations for Clinical Time Series

    May 25, 2026Sharmita Dey, Diego Paez-GranadosTime-Series ClassificationModel Pretraining

  36. Context-CoT: Enhancing Context Learning via High-Quality Reasoning Synthesis

    May 25, 2026Hongbo Jin, Mingnan Zhu, Jingqi Tian +6Large Language Model ReasoningIn-Context Learning

  37. Advancing Graph Few-Shot Learning via In-Context Learning

    May 23, 2026Renchu Guan, Yajun Wang, Chunli Guo +5Few-Shot LearningIn-Context Learning

  38. CUNY at CLPsych 2026: A Pipeline Approach to Classification and Summarization of Mental Health Changes

    May 22, 2026Amirmohammad Ziaei Bideh, Shameed Charlomar Job, Ava Yahyapour +1Mental HealthPsychology

  39. Self-Improving In-Context Learning

    May 22, 2026Baturay Saglam, Dionysis KalogeriasIn-Context LearningTraining-Free Inference Framework

  40. RAS: Reflection-Augmented Scaling with In-Context Learning for Executable Cypher Query Generation

    May 21, 2026Minseok Jung, Abhas Ricky, Muhammad Rameez ChatniInference-TimeText2Cypher

  41. From Residuals to Reasons: LLM-Guided Mechanism Inference from Tabular Data

    May 21, 2026Mohammad R. Rezaei, Rahul G. KrishnanIn-Context LearningTabular Data

  42. Correcting Class Imbalance in Prior-Data Fitted Networks for Tabular Classification

    May 20, 2026Samuel McDowell, Nathan Stromberg, Lalitha SankarTabular Prior-Data Fitted NetworkExtreme Class Imbalance

  43. Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning

    May 20, 2026Jihoon Kwon, Jiwon Choi, Jy-yong SohnIn-Context LearningInference Latency

  44. Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning

    May 20, 2026Junseok Kim, Dohyeong Kim, Mineui Hong +1Goal-Conditioned Reinforcement LearningIn-Context Learning

  45. Training Language Agents to Learn from Experience

    May 19, 2026Yuval Shalev, Zifeng Ding, Mateja JamnikMultilingual AgentsAgentic Reinforcement-Learning Framework

  46. TabQL: In-Context Q-Learning with Tabular Foundation Models

    May 18, 2026Qisai Liu, Zhanhong Jiang, Timilehin Ayanlade +4Deep Q-NetworksQ-Learning

  47. Data Presentation Over Architecture: Resampling Strategies for Credit Risk Prediction with Tabular Foundation Models

    May 18, 2026Aditya Tanna, Mitul Solanki, Mohamed Bouadi +3Credit Risk PredictionTabular Foundation Models

  48. Easier to Judge than to Find: Predicting In-Context Learning Success for Demonstration Selection

    May 18, 2026Haochun Wang, Chaofen Yang, Jiatong Liu +5In-Context LearningRaw Judge Outputs

  49. It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs

    May 18, 2026Sangwoo Park, Woongyeong Yeo, Seanie Lee +6Privacy-Utility Trade-OffsLarge Language Model Safety

  50. Geometry-Aware Uncertainty Coresets for Robust Visual In-Context Learning in Histopathology

    May 18, 2026Franciskus Xaverius Erick, Johanna Paula Müller, Bernhard KainzComputational PathologyVisual In-Context Learning

  51. TabH2O: A Unified Foundation Model for Tabular Prediction

    May 18, 2026Pascal Pfeiffer, Dmitry Gordeev, Mathias Müller +6Tabular DataModel Pretraining

  52. Large language models reorganize representational geometry during in-context learning

    May 16, 2026Hua-Dong Xiong, Li Ji-An, Robert C. Wilson +2In-Context LearningRepresentational Capacity

  53. ACIL: Auto Chain of Thoughts for In-Context Learning

    May 16, 2026Rui ChuLarge Language Model ReasoningIn-Context Learning

  54. TabPFN-MT: A Natively Multitask In-Context Learner for Tabular Data

    May 16, 2026Cormac Cureton, Narges ArmanfardTabular LearningTabpfn

  55. In-context learning enables continental-scale subsurface temperature prediction from sparse local observations

    May 15, 2026Daniel O'Malley, Christopher W. Johnson, Javier E. Santos +10Sub-Surface Mineral Prospectivity ModellingOrogenic Au

  56. How Few-Shot Examples Add Up: A Causal Decomposition of Function Vectors in In-Context Learning

    May 15, 2026Entang Wang, Yiwei Wang, Aleksandra Bakalova +1In-Context LearningFew-Shot Learning

  57. Self-Prompting Diffusion Transformer for Open-Vocabulary Scene Text Editing via In-Context Learning

    May 15, 2026Hongxi Li, Tong Wang, Chengjing Wu +6Diffusion EditingMultimodal Diffusion Transformers

  58. KGPFN: Unlocking the Potential of Knowledge Graph Foundation Model via In-Context Learning

    May 14, 2026Yisen Gao, Jiaxin Bai, Haoyu Huang +5Knowledge GraphsIn-Context Learning

  59. In-Context Learning for Data-Driven Censored Inventory Control

    May 14, 2026Sohom Mukherjee, Anh-Duy Pham, Richard Pibernik +1Monotonic Inventory EstimationLinear Regret

  60. Many-Shot CoT-ICL: Making In-Context Learning Truly Learn

    May 13, 2026Tsz Ting Chung, Lemao Liu, Mo Yu +1In-Context LearningIn-Context