{"total":23,"rows":[{"id":"2212.10537","title":"Does CLIP Bind Concepts? Probing Compositionality in Large Image Models","created":"2022-12-20","cited_by_count":102,"area":null},{"id":"2112.15424","title":"A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges","created":"2021-11-12","cited_by_count":69,"area":null},{"id":"2205.01128","title":"Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems","created":"2022-05-02","cited_by_count":44,"area":null},{"id":"2106.08694","title":"On the proper role of linguistically-oriented deep net analysis in linguistic theorizing","created":"2021-06-16","cited_by_count":43,"area":null},{"id":"2211.01288","title":"Characterizing Intrinsic Compositionality in Transformers with Tree Projections","created":"2022-11-02","cited_by_count":41,"area":null},{"id":"2407.14662","title":"Relational Composition in Neural Networks: A Survey and Call to Action","created":"2024-07-19","cited_by_count":23,"area":null},{"id":"2106.01317","title":"Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization","created":"2021-06-02","cited_by_count":11,"area":null},{"id":"2210.03575","title":"Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language Models","created":"2022-10-07","cited_by_count":9,"area":null},{"id":"2405.15164","title":"From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks","created":"2024-05-24","cited_by_count":7,"area":null},{"id":"2508.05776","title":"Whither symbols in the era of advanced neural networks?","created":"2025-08-07","cited_by_count":7,"area":null},{"id":"2101.04255","title":"Quantum Mathematics in Artificial Intelligence","created":"2021-01-12","cited_by_count":5,"area":null},{"id":"2208.06061","title":"Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages","created":"2022-08-11","cited_by_count":5,"area":null},{"id":"2306.00751","title":"Differentiable Tree Operations Promote Compositional Generalization","created":"2023-06-01","cited_by_count":5,"area":null},{"id":"2412.14076","title":"Compositional Generalization Across Distributional Shifts with Sparse Tree Operations","created":"2024-12-18","cited_by_count":5,"area":null},{"id":"2402.04203","title":"Human-Like Geometric Abstraction in Large Pre-trained Neural Networks","created":"2024-02-06","cited_by_count":4,"area":null},{"id":"2104.08410","title":"Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models","created":"2021-04-17","cited_by_count":2,"area":null},{"id":"2105.05592","title":"Image interpretation by iterative bottom-up top-down processing","created":"2021-05-12","cited_by_count":1,"area":null},{"id":"2301.08998","title":"Syntax-guided Neural Module Distillation to Probe Compositionality in Sentence Embeddings","created":"2023-01-21","cited_by_count":1,"area":null},{"id":"2305.16328","title":"Semantic Composition in Visually Grounded Language Models","created":"2023-05-15","cited_by_count":1,"area":null},{"id":"2603.23821","title":"Perturbation: A simple and efficient adversarial tracer for representation learning in language models","created":"2026-03-25","cited_by_count":1,"area":null},{"id":"2210.00667","title":"Probing of Quantitative Values in Abstractive Summarization Models","created":"2022-10-03","cited_by_count":0,"area":null},{"id":"2212.07126","title":"Explainability of Text Processing and Retrieval Methods: A Survey","created":"2022-12-14","cited_by_count":0,"area":null},{"id":"2610.15843","title":"Binding Phoneme Identity to Position in Neural Models and the Human Brain","created":"2026-10-11","cited_by_count":0,"area":null}],"next_cursor":null}