{"total":72,"rows":[{"id":"2407.03978","title":"Benchmarking Complex Instruction-Following with Multiple Constraints Composition","created":"2024-07-04","cited_by_count":152,"area":null},{"id":"2305.07170","title":"Towards Understanding and Improving GFlowNet Training","created":"2023-05-11","cited_by_count":75,"area":null},{"id":"2406.08656","title":"TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation","created":"2024-06-12","cited_by_count":43,"area":null},{"id":"2106.02668","title":"Emergent Communication of Generalizations","created":"2021-06-04","cited_by_count":42,"area":null},{"id":"2210.00482","title":"Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language","created":"2022-10-02","cited_by_count":42,"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":"2211.01177","title":"Neural Systematic Binder","created":"2022-11-02","cited_by_count":37,"area":null},{"id":"2104.11914","title":"EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case","created":"2021-04-24","cited_by_count":30,"area":null},{"id":"2209.15342","title":"Emergent Communication: Generalization and Overfitting in Lewis Games","created":"2022-09-30","cited_by_count":28,"area":null},{"id":"2207.07730","title":"How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition","created":"2022-07-15","cited_by_count":27,"area":null},{"id":"2208.10244","title":"Unit Testing for Concepts in Neural Networks","created":"2022-07-28","cited_by_count":23,"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":"2110.08467","title":"Improving Compositional Generalization with Self-Training for Data-to-Text Generation","created":"2021-10-16","cited_by_count":19,"area":null},{"id":"2304.14329","title":"Learning to Extrapolate: A Transductive Approach","created":"2023-04-27","cited_by_count":19,"area":null},{"id":"2106.15078","title":"Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation","created":"2021-06-29","cited_by_count":17,"area":null},{"id":"2410.01444","title":"Geometric Signatures of Compositionality Across a Language Model's Lifetime","created":"2024-10-02","cited_by_count":16,"area":null},{"id":"2106.08022","title":"Zero-shot Node Classification with Decomposed Graph Prototype Network","created":"2021-06-15","cited_by_count":15,"area":null},{"id":"2409.14981","title":"On The Specialization of Neural Modules","created":"2024-09-23","cited_by_count":14,"area":null},{"id":"2308.02541","title":"Towards More Human-like AI Communication: A Review of Emergent Communication Research","created":"2023-08-01","cited_by_count":13,"area":null},{"id":"2410.14817","title":"A Complexity-Based Theory of Compositionality","created":"2024-10-18","cited_by_count":13,"area":null},{"id":"2110.04328","title":"Distinguishing rule- and exemplar-based generalization in learning systems","created":"2021-10-08","cited_by_count":12,"area":null},{"id":"2208.08195","title":"Benchmarking Compositionality with Formal Languages","created":"2022-08-17","cited_by_count":12,"area":null},{"id":"2209.14974","title":"Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification","created":"2022-09-26","cited_by_count":12,"area":null},{"id":"2106.03982","title":"Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability","created":"2021-06-07","cited_by_count":11,"area":null},{"id":"2203.11815","title":"Clustering units in neural networks: upstream vs downstream information","created":"2022-03-22","cited_by_count":11,"area":null},{"id":"2311.04453","title":"Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments","created":"2023-11-08","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":"2201.12926","title":"Compositionality as Lexical Symmetry","created":"2022-01-30","cited_by_count":8,"area":null},{"id":"2206.04751","title":"Defending Compositionality in Emergent Languages","created":"2022-06-09","cited_by_count":8,"area":null},{"id":"2210.07468","title":"Transparency Helps Reveal When Language Models Learn Meaning","created":"2022-10-14","cited_by_count":8,"area":null},{"id":"2210.05519","title":"Robust and Controllable Object-Centric Learning through Energy-based Models","created":"2022-10-11","cited_by_count":7,"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":"2406.18534","title":"Towards Compositionality in Concept Learning","created":"2024-06-26","cited_by_count":7,"area":null},{"id":"2105.14668","title":"On the Interplay Between Fine-tuning and Composition in Transformers","created":"2021-05-31","cited_by_count":6,"area":null},{"id":"2111.03642","title":"Grounded Graph Decoding Improves Compositional Generalization in Question Answering","created":"2021-11-05","cited_by_count":6,"area":null},{"id":"2305.01626","title":"Basic syntax from speech: Spontaneous concatenation in unsupervised deep neural networks","created":"2023-05-02","cited_by_count":6,"area":null},{"id":"2503.02526","title":"A Theory of Initialisation's Impact on Specialisation","created":"2025-03-04","cited_by_count":6,"area":null},{"id":"2403.11958","title":"Language Evolution with Deep Learning","created":"2024-03-18","cited_by_count":5,"area":null},{"id":"2405.02350","title":"What makes Models Compositional? A Theoretical View: With Supplement","created":"2024-05-02","cited_by_count":5,"area":null},{"id":"2409.09626","title":"Understanding Simplicity Bias towards Compositional Mappings via Learning Dynamics","created":"2024-09-15","cited_by_count":5,"area":null},{"id":"2411.05943","title":"Quantifying artificial intelligence through algorithmic generalization","created":"2024-11-08","cited_by_count":5,"area":null},{"id":"2506.04461","title":"Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey","created":"2025-06-04","cited_by_count":5,"area":null},{"id":"2103.04180","title":"Neural networks can understand compositional functions that humans do not, in the context of emergent communication","created":"2021-03-06","cited_by_count":4,"area":null},{"id":"2207.07025","title":"Learning to translate by learning to communicate","created":"2022-07-14","cited_by_count":4,"area":null},{"id":"2102.10575","title":"Learning Compositional Representation for Few-shot Visual Question Answering","created":"2021-02-21","cited_by_count":3,"area":null},{"id":"2105.12804","title":"TexRel: a Green Family of Datasets for Emergent Communications on Relations","created":"2021-05-26","cited_by_count":3,"area":null},{"id":"2111.01785","title":"PatchGame: Learning to Signal Mid-level Patches in Referential Games","created":"2021-11-02","cited_by_count":3,"area":null},{"id":"2301.13714","title":"Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality","created":"2023-01-31","cited_by_count":3,"area":null},{"id":"2310.01154","title":"Modularity in Deep Learning: A Survey","created":"2023-10-02","cited_by_count":3,"area":null},{"id":"2502.07552","title":"Unsupervised Translation of Emergent Communication","created":"2025-02-11","cited_by_count":3,"area":null},{"id":"2303.04544","title":"Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minima","created":"2023-03-08","cited_by_count":2,"area":null},{"id":"2411.10173","title":"Semantics and Spatiality of Emergent Communication","created":"2024-11-15","cited_by_count":2,"area":null},{"id":"2411.15626","title":"Aligning Generalisation Between Humans and Machines","created":"2024-11-23","cited_by_count":2,"area":null},{"id":"2503.06181","title":"Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks","created":"2025-03-08","cited_by_count":2,"area":null},{"id":"2505.20964","title":"Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence","created":"2025-05-27","cited_by_count":2,"area":null},{"id":"2509.19332","title":"Quantifying Compositionality of Classic and State-of-the-Art Embeddings","created":"2025-09-14","cited_by_count":2,"area":null},{"id":"2105.10438","title":"Compositional Fine-Grained Low-Shot Learning","created":"2021-05-21","cited_by_count":1,"area":null},{"id":"2210.06468","title":"Contrastive Multimodal Learning for Emergence of Graphical Sensory-Motor Communication","created":"2022-10-03","cited_by_count":1,"area":null},{"id":"2306.06584","title":"Compositional Prototypical Networks for Few-Shot Classification","created":"2023-06-11","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":"2410.21803","title":"SimSiam Naming Game: A Unified Approach for Emergent Communication and Representation Learning","created":"2024-10-29","cited_by_count":1,"area":null},{"id":"2601.10169","title":"CtD: Composition through Decomposition in Emergent Communication","created":"2026-01-15","cited_by_count":1,"area":null},{"id":"2604.03266","title":"Emergent Compositional Communication for Latent World Properties","created":"2026-03-18","cited_by_count":1,"area":null},{"id":"2101.11739","title":"Compositionality Through Language Transmission, using Artificial Neural Networks","created":"2021-01-27","cited_by_count":0,"area":null},{"id":"2102.10437","title":"Understanding and Enhancing the Use of Context for Machine Translation","created":"2021-02-20","cited_by_count":0,"area":null},{"id":"2103.06198","title":"Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling","created":"2021-03-10","cited_by_count":0,"area":null},{"id":"2211.11956","title":"A Short Survey of Systematic Generalization","created":"2022-11-22","cited_by_count":0,"area":null},{"id":"2311.11085","title":"Compositional Fusion of Signals in Data Embedding","created":"2023-11-18","cited_by_count":0,"area":null},{"id":"2512.22568","title":"Lessons from Neuroscience for AI: How integrating Actions, Compositional Structure and Episodic Memory could enable Safe, Interpretable and Human-Like AI","created":"2025-12-27","cited_by_count":0,"area":null},{"id":"2512.24438","title":"Exploring Compositionality in Vision Transformers using Wavelet Representations","created":"2025-12-30","cited_by_count":0,"area":null},{"id":"2606.19941","title":"Compositionality Emerges in a Narrow Depth-Connectivity Regime: Architecture Constraints and Solution Manifolds","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2606.28380","title":"Distilling a Modular Reservoir Through a Genomic Bottleneck","created":"2026-06-20","cited_by_count":0,"area":null}],"next_cursor":null}