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.

256 papers

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  1. In-Context Learning Operates as Concept Subspace Learning

    May 12, 2026Wei Tang, Xinyan Jiang, Fakhri Karray +1In-Context Learning

  2. Learning, Fast and Slow: Towards LLMs That Adapt Continually

    May 12, 2026Rishabh Tiwari, Kusha Sareen, Lakshya A Agrawal +6In-Context LearningCatastrophic Forgetting

  3. Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space

    May 12, 2026Eric Bigelow, Raphaël Sarfati, Daniel Wurgaft +5In-Context LearningIn-Context

  4. In-context learning to predict critical transitions in dynamical systems

    May 12, 2026Yunus Sevinchan, Juan Nathaniel, Kai Ueltzhöffer +8TransitionsDynamical Systems

  5. Instruct-ICL: Instruction-Guided In-Context Learning for Post-Disaster Damage Assessment

    May 12, 2026Armin Zarbaft, Ehsan Karimi, Nhut Le +1Post-Disaster Damage AssessmentMultimodal Reasoning

  6. Self-Attention as a Covariance Readout: A Unified View of In-Context Learning and Repetition

    May 11, 2026Haoren Xu, Guanhua FangSoftmax AttentionIn-Context Learning

  7. Continuous Latent Contexts Enable Efficient Online Learning in Transformers

    May 11, 2026Emile Anand, Abdullah Ateyeh, Xinyuan Cao +1In-Context LearningTransformer Architectures

  8. One for All: A Non-Linear Transformer can Enable Cross-Domain Generalization for In-Context Reinforcement Learning

    May 10, 2026Bowen He, Juncheng Dong, Lin Lin +1Deep Reinforcement LearningIn-Context Learning

  9. Learning Multi-Indicator Weights for Data Selection: A Joint Task-Model Adaptation Framework with Efficient Proxies

    May 10, 2026Jingze Song, Zihao Chen, Wenqing Chen +1Multimodal Instruction TuningIn-Context Learning

  10. Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning

    May 9, 2026Minmin Zhang, Sina Aghaei, Soroush SaghafianIn-Context LearningLarge Language Model Fine-Tuning

  11. PromptDx: Differentiable Prompt Tuning for Multimodal In-Context Alzheimer's Diagnosis

    May 9, 2026Lujia Zhong, Yihao Xia, Shuo Huang +2Multimodal Clinical DataAlzheimer

  12. Belief or Circuitry? Causal Evidence for In-Context Graph Learning

    May 8, 2026Katharine Kowalyshyn, Timothy Duggan, Daniel Little +1In-Context LearningIn-Context

  13. Context-Gated Associative Retrieval: From Theory to Transformers

    May 8, 2026Moulik Choraria, Argyrios Gerogiannis, Vidhata Jayaraman +2Dense Associative MemoryIn-Context Learning

  14. Toward Privileged Foundation Models:LUPI for Accelerated and Improved Learning

    May 8, 2026Xueying Ding, Leman AkogluTabular Foundation ModelsWireless Foundation Models

  15. GRaSp: Automatic Example Optimization for In-Context Learning in Low-Data Tasks

    May 8, 2026Simen Bihaug-Frøyland, Henrik BrådlandIn-Context LearningFew-Shot Learning

  16. Beyond Linear Attention: Softmax Transformers Implement In-Context Reinforcement Learning

    May 8, 2026Zixuan Xie, Xinyu Liu, Claire Chen +3In-Context LearningTransformer Architectures

  17. Convergence and Emergence of In-Context Reinforcement Learning with Chain of Thought

    May 8, 2026Zixuan Xie, Xinyu Liu, Rohan Chandra +1In-Context LearningIterative Co-Training

  18. Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent

    May 7, 2026Chenyang Zhang, Yuan CaoIn-Context LearningTransformer Architectures

  19. In-Context Black-Box Optimization with Unreliable Feedback

    May 7, 2026Nicolas Samuel Blumer, Julien Martinelli, Samuel KaskiBlack-Box OptimizationBayesian Optimization

  20. RealCam: Real-Time Novel-View Video Generation with Interactive Camera Control

    May 7, 2026Youcan Xu, Jiaxin Shi, Zhen Wang +5Controllable Video GenerationCamera Control

  21. Transformers Provably Implement In-Context Reinforcement Learning with Policy Improvement

    May 7, 2026Haodong Liang, Lifeng LaiIn-Context LearningTransformer Architectures

  22. In-Context Positive-Unlabeled Learning

    May 7, 2026Siyan Liu, Yi Chang, Manli Cheng +2Positive--Unlabeled LearningUnlabeled Data

  23. From History to State: Constant-Context Skill Learning for LLM Agents

    May 6, 2026Haoyang Xie, Xinyuan Wang, Yancheng Wang +2Large Language Model AgentsAgentic Reinforcement-Learning Framework

  24. Understanding In-Context Learning for Nonlinear Regression with Transformers: Attention as Featurizer

    May 6, 2026Alexander Hsu, Zhaiming Shen, Wenjing Liao +1In-Context LearningTransformer Architectures

  25. Adaptivity Under Realizability Constraints: Comparing In-Context and Agentic Learning

    May 6, 2026Anastasis Kratsios, A. Martina Neuman, Philipp PetersenAdaptive LearningIn-Context Learning

  26. Breaking the Quality-Privacy Tradeoff in Tabular Data Generation via In-Context Learning

    May 6, 2026Xinyan Han, Yan Lu, Xiaoyu Lin +5Synthetic Tabular DataSynthetic Data

  27. LLMs with in-context learning for Algorithmic Theoretical Physics

    May 6, 2026Anamaria Hell, Leander ThieleCosmologyTheoretical Foundations

  28. FAAST: Forward-Only Associative Learning via Closed-Form Fast Weights for Test-Time Supervised Adaptation

    May 6, 2026Guangsheng Bao, Hongbo Zhang, Han Cui +4Parameter-Efficient AdaptationUnseen-Task Adaptation

  29. Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning

    May 6, 2026Yating Wang, Yaqi Zhao, Yongshun Gong +2Visual In-Context LearningAutomatic Prompt Optimization

  30. AdapShot: Adaptive Many-Shot In-Context Learning with Semantic-Aware KV Cache Reuse

    May 5, 2026Jie Ou, Jinyu Guo, Shiyao Guo +5Few-Shot LearningIn-Context Learning

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

    May 5, 2026Tejas Kulkarni, Antti Koskela, Laith ZumotMembership Inference AttacksIn-Context Learning

  32. Enhancing Multimodal In-Context Learning via Inductive-Deductive Reasoning

    May 4, 2026Haoyu Wang, Haonan Wang, Yuyan Chen +5Multimodal ReasoningIn-Context Learning

  33. Embedding-based In-Context Prompt Training for Enhancing LLMs as Text Encoders

    May 2, 2026Ailiang Lin, Zhuoyun Li, Keyu Mao +2Domain-Invariant Text EmbeddingsIn-Context Learning

  34. From Context to Skills: Can Language Models Learn from Context Skillfully?

    Apr 30, 2026Shuzheng Si, Haozhe Zhao, Yu Lei +10In-Context LearningReusable Agent Skills

  35. Featurising Pixels from Dynamic 3D Scenes with Linear In-Context Learners

    Apr 29, 2026Nikita Araslanov, Martin Sundermeyer, Hidenobu Matsuki +2Video DatasetPixels

  36. Investigation into In-Context Learning Capabilities of Transformers

    Apr 28, 2026Rushil Chandrupatla, Leo Bangayan, Sebastian LengIn-Context LearningIn-Context

  37. Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence

    Apr 28, 2026Jinseok Chung, Minkyoung Song, Hyunji Jung +1Large Language Model UncertaintyIn-Context Learning

  38. What Makes Good Instruction-Tuning Data? An In-Context Learning Perspective

    Apr 28, 2026Guangzeng Han, Xiaolei HuangInstruction TuningMultimodal Instruction Tuning

  39. Where to Place the Query? Unveiling and Mitigating Positional Bias in In-Context Learning for Diffusion LLMs via Decoding Dynamics

    Apr 26, 2026Zhengheng Li, Panrui Li, Xuyang Liu +1In-Context LearningDiffusion Language Models

  40. Automating Categorization of Scientific Texts with In-Context Learning and Prompt-Chaining in Large Language Models

    Apr 25, 2026Gautam Kishore Shahi, Oliver HummelScientific DiscoveryTaxonomy

  41. When Context Sticks: Studying Interference in In-Context Learning

    Apr 25, 2026Hanna Rød, Dagny Streit, Nils Valseth Selte +1In-Context LearningInterference

  42. Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective

    Apr 25, 2026Bishwamittra Ghosh, Soumi Das, Till Speicher +5Large Language Model Fine-TuningIn-Context Learning

  43. Adaptive Test-Time Compute Allocation with Evolving In-Context Demonstrations

    Apr 22, 2026Bowen Zuo, Dongruo Zhou, Yinglun ZhuTest TimeInference-Time

  44. Bimanual Robot Manipulation via Multi-Agent In-Context Learning

    Apr 22, 2026Alessio Palma, Indro Spinelli, Vignesh Prasad +4Bimanual ManipulationAction Space

  45. CoDA: Towards Effective Cross-domain Knowledge Transfer via CoT-guided Domain Adaptation

    Apr 21, 2026Jianzhi Yan, Le Liu, Buzhou Tang +3Large Language Model AdaptationEfficient Latent Reasoning

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

    Apr 21, 2026Yuqi Zhang, Di ZhangRetrieval-Augmented Generation SystemsRdf

  47. Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors

    Apr 21, 2026Jeongwhan Choi, Jongwoo Kim, Woosung Kang +1Graph Neural NetworksGraph Representations

  48. CAARL: In-Context Learning for Interpretable Co-Evolving Time Series Forecasting

    Apr 20, 2026Etienne Tajeuna, Patrick Asante Owusu, Armelle Brun +1Multivariate Time Series ForecastingTime Series

  49. GR4CIL: Gap-compensated Routing for CLIP-based Class Incremental Learning

    Apr 20, 2026Tianqi Wang, Jingcai GuoDomain Incremental LearningIn-Context Learning

  50. LLM-AUG: Robust Wireless Data Augmentation with In-Context Learning in Large Language Models

    Apr 20, 2026Pranshav Gajjar, Manan Tiwari, Sayanta Seth +1Synthetic Data AugmentationMachine Learning

  51. Beyond Fine-Tuning: In-Context Learning and Chain-of-Thought for Reasoned Distractor Generation

    Apr 19, 2026Elaf Alhazmi, Quan Z. Sheng, Wei Emma ZhangDistractorLarge Language Model Reasoning

  52. In-Context Learning Under Regime Change

    Apr 18, 2026Carson Dudley, Yutong Bi, Xiaofeng Liu +1Time Series Foundation ModelsChange-Point Detection

  53. Tabular foundation models for in-context prediction of molecular properties

    Apr 17, 2026Karim K. Ben Hicham, Jan G. Rittig, Martin Grohe +1Molecular Property PredictionTabular Foundation Models

  54. Fact4ac at the Financial Misinformation Detection Challenge Task: Reference-Free Financial Misinformation Detection via Fine-Tuning and Few-Shot Prompting of Large Language Models

    Apr 16, 2026Cuong Hoang, Le-Minh NguyenMisinformation DetectionMisinformation

  55. An Empirical Study of Many-Shot In-Context Learning for Machine Translation of Low-Resource Languages

    Apr 3, 2026Yinhan Lu, Gaganpreet Jhajj, Chen Zhang +2Machine TranslationLow-Resource Languages

  56. In-Context Molecular Property Prediction with LLMs: A Blinding Study on Memorization and Knowledge Conflicts

    Mar 26, 2026Matthias Busch, Marius Tacke, Sviatlana V. Lamaka +4Molecular Property PredictionIn-Context Learning

  57. When Sensing Varies with Contexts: Context Probing for Tactile Few-Shot Class-Incremental Learning

    Mar 26, 2026Yifeng Lin, Aiping Huang, Wenxi Liu +4Domain Incremental LearningFew-Shot Learning

  58. UniICL: Systematizing Unified Multimodal In-context Learning through a Capability-Oriented Taxonomy

    Mar 25, 2026Yicheng Xu, Jiangning Zhang, Zhucun Xue +5In-Context LearningUnified Multimodal Models

  59. Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models

    Mar 17, 2026Mohamed Adel, Bashar Alhafni, Nizar HabashArabic Natural Language ProcessingTagging

  60. Rethinking Zero-Shot Time Series Classification: From Task-specific Classifiers to In-Context Inference

    Jan 31, 2026Juntao Fang, Shifeng Xie, Shengbin Nie +7Time-Series ClassificationZero-Shot Inference