{"total":255,"rows":[{"id":"2307.05782","title":"Large Language Models","created":"2023-07-11","cited_by_count":780,"area":null},{"id":"2211.10435","title":"PAL: Program-aided Language Models","created":"2022-11-18","cited_by_count":652,"area":"lr"},{"id":"2205.09712","title":"Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning","created":"2022-05-19","cited_by_count":334,"area":"lr"},{"id":"2103.02582","title":"D'ya like DAGs? A Survey on Structure Learning and Causal Discovery","created":"2021-03-03","cited_by_count":211,"area":null},{"id":"2305.09656","title":"SatLM: Satisfiability-Aided Language Models Using Declarative Prompting","created":"2023-05-16","cited_by_count":102,"area":"lr"},{"id":"2107.02794","title":"Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning","created":"2021-07-06","cited_by_count":85,"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":"2212.13894","title":"LAMBADA: Backward Chaining for Automated Reasoning in Natural Language","created":"2022-12-20","cited_by_count":66,"area":"lr"},{"id":"2307.02598","title":"Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation","created":"2023-07-05","cited_by_count":58,"area":null},{"id":"2102.10556","title":"Inductive logic programming at 30","created":"2021-02-21","cited_by_count":47,"area":null},{"id":"2102.11965","title":"Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases","created":"2021-02-23","cited_by_count":39,"area":null},{"id":"2111.08164","title":"A Survey on Neural-symbolic Learning Systems","created":"2021-11-10","cited_by_count":39,"area":null},{"id":"2202.12205","title":"Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review","created":"2022-02-24","cited_by_count":38,"area":"lr"},{"id":"2501.05435","title":"Neuro-Symbolic AI in 2024: A Systematic Review","created":"2025-01-09","cited_by_count":38,"area":null},{"id":"2201.12382","title":"Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices","created":"2022-01-28","cited_by_count":37,"area":"lr"},{"id":"2112.03753","title":"Tell me why! Explanations support learning relational and causal structure","created":"2021-12-07","cited_by_count":36,"area":null},{"id":"2210.15889","title":"Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on Neuro-Symbolic Computing","created":"2022-10-28","cited_by_count":35,"area":null},{"id":"2309.13339","title":"Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic","created":"2023-09-23","cited_by_count":35,"area":"lr"},{"id":"2405.02336","title":"Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G","created":"2024-04-29","cited_by_count":31,"area":null},{"id":"2402.04823","title":"How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data","created":"2024-02-07","cited_by_count":29,"area":null},{"id":"2102.03406","title":"Symbolic Behaviour in Artificial Intelligence","created":"2021-02-05","cited_by_count":25,"area":null},{"id":"2106.11072","title":"Techniques for Symbol Grounding with SATNet","created":"2021-06-16","cited_by_count":24,"area":null},{"id":"2309.01038","title":"Neurosymbolic Reinforcement Learning and Planning: A Survey","created":"2023-09-02","cited_by_count":24,"area":null},{"id":"2112.13418","title":"Neuro-Symbolic Hierarchical Rule Induction","created":"2021-12-26","cited_by_count":23,"area":null},{"id":"2203.00938","title":"Neuro-Symbolic Verification of Deep Neural Networks","created":"2022-03-02","cited_by_count":21,"area":null},{"id":"2210.12040","title":"Neuro-Symbolic Causal Reasoning Meets Signaling Game for Emergent Semantic Communications","created":"2022-10-21","cited_by_count":21,"area":"lr"},{"id":"2302.07200","title":"Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey","created":"2023-02-14","cited_by_count":21,"area":"lr"},{"id":"2409.13456","title":"Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?","created":"2024-09-20","cited_by_count":18,"area":null},{"id":"2502.18237","title":"Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints","created":"2025-02-25","cited_by_count":18,"area":null},{"id":"2204.05133","title":"On the link between conscious function and general intelligence in humans and machines","created":"2022-03-24","cited_by_count":16,"area":null},{"id":"2402.00854","title":"SymbolicAI: A framework for logic-based approaches combining generative models and solvers","created":"2024-02-01","cited_by_count":16,"area":null},{"id":"2306.08397","title":"Scalable Neural-Probabilistic Answer Set Programming","created":"2023-06-14","cited_by_count":14,"area":null},{"id":"2303.00438","title":"A Framework for Neurosymbolic Robot Action Planning using Large Language Models","created":"2023-03-01","cited_by_count":12,"area":null},{"id":"2307.00928","title":"Learning Differentiable Logic Programs for Abstract Visual Reasoning","created":"2023-07-03","cited_by_count":12,"area":"lr"},{"id":"2302.07866","title":"Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?","created":"2023-02-15","cited_by_count":11,"area":"lr"},{"id":"2205.10768","title":"Neuro-Symbolic Artificial Intelligence (AI) for Intent based Semantic Communication","created":"2022-05-22","cited_by_count":10,"area":null},{"id":"2401.03188","title":"A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence","created":"2024-01-06","cited_by_count":10,"area":null},{"id":"2108.09523","title":"Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning","created":"2021-08-21","cited_by_count":9,"area":null},{"id":"2202.02942","title":"Tractable Boolean and Arithmetic Circuits","created":"2022-02-07","cited_by_count":9,"area":null},{"id":"2406.12147","title":"Metacognitive AI: Framework and the Case for a Neurosymbolic Approach","created":"2024-06-17","cited_by_count":9,"area":null},{"id":"2103.15100","title":"The General Theory of General Intelligence: A Pragmatic Patternist Perspective","created":"2021-03-28","cited_by_count":8,"area":null},{"id":"2110.03395","title":"SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming","created":"2021-10-07","cited_by_count":8,"area":null},{"id":"2306.07743","title":"V-LoL: A Diagnostic Dataset for Visual Logical Learning","created":"2023-06-13","cited_by_count":8,"area":"lr"},{"id":"2404.03499","title":"Comprehensible Artificial Intelligence on Knowledge Graphs: A survey","created":"2024-04-04","cited_by_count":8,"area":null},{"id":"2408.08622","title":"DeepDFA: Automata Learning through Neural Probabilistic Relaxations","created":"2024-08-16","cited_by_count":8,"area":null},{"id":"2507.11127","title":"Defining neurosymbolic AI","created":"2025-07-15","cited_by_count":8,"area":null},{"id":"2509.18592","title":"VLN-Zero: Rapid Exploration and Cache-Enabled Neurosymbolic Vision-Language Planning for Zero-Shot Transfer in Robot Navigation","created":"2025-09-23","cited_by_count":8,"area":null},{"id":"2112.15319","title":"A Critical Review of Inductive Logic Programming Techniques for Explainable AI","created":"2021-12-31","cited_by_count":7,"area":null},{"id":"2206.07304","title":"Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook","created":"2022-06-15","cited_by_count":7,"area":null},{"id":"2208.00374","title":"Neuro-Symbolic Learning: Principles and Applications in Ophthalmology","created":"2022-07-31","cited_by_count":7,"area":null},{"id":"2212.10754","title":"CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding","created":"2022-12-21","cited_by_count":7,"area":null},{"id":"2312.09676","title":"nuScenes Knowledge Graph -- A comprehensive semantic representation of traffic scenes for trajectory prediction","created":"2023-12-15","cited_by_count":7,"area":null},{"id":"2406.09012","title":"Bayesian Statistical Modeling with Predictors from LLMs","created":"2024-06-13","cited_by_count":7,"area":null},{"id":"2407.15192","title":"Error Detection and Constraint Recovery in Hierarchical Multi-Label Classification without Prior Knowledge","created":"2024-07-21","cited_by_count":7,"area":null},{"id":"2404.18311","title":"Towards Incremental Learning in Large Language Models: A Critical Review","created":"2024-04-28","cited_by_count":6,"area":null},{"id":"2410.14219","title":"Formal Explanations for Neuro-Symbolic AI","created":"2024-10-18","cited_by_count":6,"area":null},{"id":"2411.12671","title":"Neurosymbolic Graph Enrichment for Grounded World Models","created":"2024-11-19","cited_by_count":6,"area":"wm"},{"id":"2505.19825","title":"Position: Foundation Models for Tabular Data within Systemic Contexts Need Grounding","created":"2025-05-26","cited_by_count":6,"area":null},{"id":"2506.23908","title":"Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence","created":"2025-06-30","cited_by_count":6,"area":"lr"},{"id":"2109.08291","title":"Natlog: a Lightweight Logic Programming Language with a Neuro-symbolic Touch","created":"2021-09-17","cited_by_count":5,"area":null},{"id":"2306.14546","title":"logLTN: Differentiable Fuzzy Logic in the Logarithm Space","created":"2023-06-26","cited_by_count":5,"area":null},{"id":"2507.10566","title":"AI Mother Tongue: Self-Emergent Communication in MARL via Endogenous Symbol Systems","created":"2025-07-07","cited_by_count":5,"area":null},{"id":"2106.00393","title":"Relational Reasoning Networks","created":"2021-06-01","cited_by_count":4,"area":null},{"id":"2106.11908","title":"Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks","created":"2021-06-15","cited_by_count":4,"area":null},{"id":"2204.10358","title":"Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework","created":"2022-04-21","cited_by_count":4,"area":null},{"id":"2205.04139","title":"The Roles and Modes of Human Interactions with Automated Machine Learning Systems","created":"2022-05-09","cited_by_count":4,"area":null},{"id":"2307.08411","title":"Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs","created":"2023-07-17","cited_by_count":4,"area":null},{"id":"2311.00393","title":"Augmenting deep neural networks with symbolic knowledge: Towards trustworthy and interpretable AI for education","created":"2023-11-01","cited_by_count":4,"area":null},{"id":"2407.02424","title":"A Pattern Language for Machine Learning Tasks","created":"2024-07-02","cited_by_count":4,"area":null},{"id":"2411.12763","title":"Education in the Era of Neurosymbolic AI","created":"2024-11-16","cited_by_count":4,"area":null},{"id":"2508.03366","title":"A Comparative Study of Neurosymbolic AI Approaches to Interpretable Logical Reasoning","created":"2025-08-05","cited_by_count":4,"area":"lr"},{"id":"2511.07463","title":"Dynamic Stability of LLM-Generated Code","created":"2025-11-07","cited_by_count":4,"area":null},{"id":"2106.08446","title":"Bridge Networks: Relating Inputs through Vector-Symbolic Manipulations","created":"2021-06-15","cited_by_count":3,"area":null},{"id":"2112.01844","title":"Combining Sub-Symbolic and Symbolic Methods for Explainability","created":"2021-12-03","cited_by_count":3,"area":null},{"id":"2212.13991","title":"Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods","created":"2022-12-23","cited_by_count":3,"area":null},{"id":"2305.13504","title":"Neural Machine Translation for Code Generation","created":"2023-05-22","cited_by_count":3,"area":null},{"id":"2312.11651","title":"Bridging Logic and Learning: A Neural-Symbolic Approach for Enhanced Reasoning in Neural Models (ASPER)","created":"2023-12-18","cited_by_count":3,"area":"lr"},{"id":"2401.07744","title":"Combining Machine Learning and Ontology: A Systematic Literature Review","created":"2024-01-15","cited_by_count":3,"area":"lr"},{"id":"2409.14277","title":"Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models","created":"2024-09-22","cited_by_count":3,"area":"mllm"},{"id":"2501.19318","title":"MINDSTORES: Memory-Informed Neural Decision Synthesis for Task-Oriented Reinforcement in Embodied Systems","created":"2025-01-31","cited_by_count":3,"area":null},{"id":"2504.00615","title":"Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods","created":"2025-04-01","cited_by_count":3,"area":null},{"id":"2504.03603","title":"Towards deployment-centric multimodal AI beyond vision and language","created":"2025-04-04","cited_by_count":3,"area":null},{"id":"2504.16414","title":"Evaluating Multi-Hop Reasoning in Large Language Models: A Chemistry-Centric Case Study","created":"2025-04-23","cited_by_count":3,"area":"lr"},{"id":"2505.15742","title":"Neuro-Argumentative Learning with Case-Based Reasoning","created":"2025-05-21","cited_by_count":3,"area":null},{"id":"2506.09701","title":"ABS: Enforcing Constraint Satisfaction On Generated Sequences Via Automata-Guided Beam Search","created":"2025-06-11","cited_by_count":3,"area":null},{"id":"2510.25497","title":"Right for the Right Reasons: Avoiding Reasoning Shortcuts via Prototypical Neurosymbolic AI","created":"2025-10-29","cited_by_count":3,"area":"lr"},{"id":"2511.17673","title":"Bridging Symbolic Control and Neural Reasoning in LLM Agents -- The Structured Cognitive Loop","created":"2025-11-21","cited_by_count":3,"area":"lr"},{"id":"2601.14894","title":"To Neuro-Symbolic Classification and Beyond by Compiling Description Logic Ontologies to Probabilistic Circuits","created":"2026-01-21","cited_by_count":3,"area":null},{"id":"2602.01651","title":"On the Spatiotemporal Dynamics of Generalization in Neural Networks","created":"2026-02-02","cited_by_count":3,"area":null},{"id":"2604.00555","title":"Ontology-Constrained Neural Reasoning in Enterprise Agentic Systems: A Neurosymbolic Architecture for Domain-Grounded AI Agents","created":"2026-04-01","cited_by_count":3,"area":"lr"},{"id":"2112.05841","title":"Logical Boltzmann Machines","created":"2021-12-10","cited_by_count":2,"area":null},{"id":"2203.16616","title":"Knowledge-based Entity Prediction for Improved Machine Perception in Autonomous Systems","created":"2022-03-30","cited_by_count":2,"area":null},{"id":"2204.00624","title":"Explainable and Interpretable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning","created":"2022-04-01","cited_by_count":2,"area":null},{"id":"2204.12972","title":"Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems","created":"2022-04-27","cited_by_count":2,"area":null},{"id":"2207.07512","title":"Sparse Relational Reasoning with Object-Centric Representations","created":"2022-07-15","cited_by_count":2,"area":null},{"id":"2210.05556","title":"ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities","created":"2022-10-11","cited_by_count":2,"area":null},{"id":"2302.06337","title":"Learning from Noisy Crowd Labels with Logics","created":"2023-02-13","cited_by_count":2,"area":null},{"id":"2304.06377","title":"Emergence of Symbols in Neural Networks for Semantic Understanding and Communication","created":"2023-04-13","cited_by_count":2,"area":null},{"id":"2304.09276","title":"Towards a Neural Lambda Calculus: Neurosymbolic AI Applied to the Foundations of Functional Programming","created":"2023-04-18","cited_by_count":2,"area":null},{"id":"2306.11161","title":"Neuro-Symbolic Bi-Directional Translation -- Deep Learning Explainability for Climate Tipping Point Research","created":"2023-06-19","cited_by_count":2,"area":null}],"next_cursor":"100"}