{"total":15,"rows":[{"id":"2509.22854","title":"Train Once, Reuse Everywhere: Generalizable Implicit In-Context Learning by Routing Attention","created":"2025-09-26","cited_by_count":8,"area":null},{"id":"2505.14808","title":"Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective","created":"2025-05-20","cited_by_count":6,"area":null},{"id":"2504.12991","title":"A Theoretical Framework for OOD Robustness in Transformers using Gevrey Classes","created":"2025-04-17","cited_by_count":4,"area":null},{"id":"2603.05396","title":"Harnessing Synthetic Data from Generative AI for Statistical Inference","created":"2026-03-05","cited_by_count":3,"area":null},{"id":"2510.00034","title":"Review of Hallucination Understanding in Large Language and Vision Models","created":"2025-09-26","cited_by_count":2,"area":null},{"id":"2605.28854","title":"Large language models reorganize representational geometry during in-context learning","created":"2026-05-16","cited_by_count":2,"area":null},{"id":"2510.04548","title":"Learning Linear Regression with Low-Rank Tasks in-Context","created":"2025-10-06","cited_by_count":1,"area":null},{"id":"2606.06814","title":"The Effect of Training Task Diversity on In-Context Learning through the Lens of Low-Dimensional Subspaces","created":"2026-06-05","cited_by_count":1,"area":null},{"id":"2508.10235","title":"Can Transformers Break Encryption Schemes via In-Context Learning?","created":"2025-08-13","cited_by_count":0,"area":null},{"id":"2601.20476","title":"When Looks Do Not Lie: Discourse Structure Guided In-Context Learning for Faithful Diagram Generation","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2606.00014","title":"Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2606.25450","title":"The Generalization Spectrum: A Chromatographic Approach to Evaluating Learning Algorithms","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2607.04081","title":"A Unified Framework for In-Context Learning with Causal and Masked Language Models","created":"2026-07-05","cited_by_count":0,"area":null},{"id":"2607.14937","title":"A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2609.36448","title":"Theory on Attention Dynamics for Out-of-Distribution In-Context Learning","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}