{"total":21,"rows":[{"id":"2212.06800","title":"Diverse Demonstrations Improve In-context Compositional Generalization","created":"2022-12-13","cited_by_count":139,"area":null},{"id":"2303.11504","title":"Language Model Behavior: A Comprehensive Survey","created":"2023-03-20","cited_by_count":92,"area":null},{"id":"2311.03648","title":"Instruct Me More! Random Prompting for Visual In-Context Learning","created":"2023-11-07","cited_by_count":30,"area":null},{"id":"2311.12997","title":"Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks","created":"2023-11-21","cited_by_count":22,"area":null},{"id":"2406.05816","title":"Attention as a Hypernetwork","created":"2024-06-09","cited_by_count":13,"area":null},{"id":"2310.17514","title":"The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks","created":"2023-10-26","cited_by_count":12,"area":null},{"id":"2311.09519","title":"Leveraging Code to Improve In-context Learning for Semantic Parsing","created":"2023-11-16","cited_by_count":10,"area":null},{"id":"2308.02582","title":"Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting","created":"2023-08-01","cited_by_count":8,"area":null},{"id":"2407.12275","title":"When can transformers compositionally generalize in-context?","created":"2024-07-17","cited_by_count":7,"area":null},{"id":"2403.11834","title":"Towards Understanding the Relationship between In-context Learning and Compositional Generalization","created":"2024-03-18","cited_by_count":5,"area":null},{"id":"2405.11743","title":"A General Theory for Compositional Generalization","created":"2024-05-20","cited_by_count":4,"area":null},{"id":"2311.18194","title":"Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes","created":"2023-11-30","cited_by_count":3,"area":null},{"id":"2304.13350","title":"Neuro-symbolic Zero-Shot Code Cloning with Cross-Language Intermediate Representation","created":"2023-04-26","cited_by_count":2,"area":null},{"id":"2307.02243","title":"Power-up! What Can Generative Models Do for Human Computation Workflows?","created":"2023-07-05","cited_by_count":1,"area":null},{"id":"2406.04669","title":"DiNeR: a Large Realistic Dataset for Evaluating Compositional Generalization","created":"2024-06-07","cited_by_count":1,"area":null},{"id":"2406.04989","title":"Compositional Generalization with Grounded Language Models","created":"2024-06-07","cited_by_count":1,"area":null},{"id":"2502.20834","title":"Learning to Substitute Components for Compositional Generalization","created":"2025-02-28","cited_by_count":1,"area":null},{"id":"2504.18158","title":"E-InMeMo: Enhanced Prompting for Visual In-Context Learning","created":"2025-04-25","cited_by_count":1,"area":null},{"id":"2509.21926","title":"PANICL: Mitigating Over-Reliance on Single Prompt in Visual In-Context Learning","created":"2025-09-26","cited_by_count":1,"area":null},{"id":"2511.20194","title":"In-Context Compositional Learning via Sparse Coding Transformer","created":"2025-11-25","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}