{"total":32,"rows":[{"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":"2205.14268","title":"NeuPSL: Neural Probabilistic Soft Logic","created":"2022-05-27","cited_by_count":34,"area":"lr"},{"id":"2202.10284","title":"A Review of Emerging Research Directions in Abstract Visual Reasoning","created":"2022-02-21","cited_by_count":33,"area":"lr"},{"id":"2401.09042","title":"LLMs for Relational Reasoning: How Far are We?","created":"2024-01-17","cited_by_count":21,"area":"lr"},{"id":"2305.03742","title":"Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming","created":"2023-05-05","cited_by_count":18,"area":"lr"},{"id":"2302.13482","title":"PyReason: Software for Open World Temporal Logic","created":"2023-02-27","cited_by_count":16,"area":"lr"},{"id":"2410.11689","title":"BlendRL: A Framework for Merging Symbolic and Neural Policy Learning","created":"2024-10-15","cited_by_count":14,"area":"lr"},{"id":"2307.00928","title":"Learning Differentiable Logic Programs for Abstract Visual Reasoning","created":"2023-07-03","cited_by_count":12,"area":"lr"},{"id":"2410.20957","title":"Neuro-symbolic Learning Yielding Logical Constraints","created":"2024-10-28","cited_by_count":12,"area":"lr"},{"id":"2306.07743","title":"V-LoL: A Diagnostic Dataset for Visual Logical Learning","created":"2023-06-13","cited_by_count":8,"area":"lr"},{"id":"2411.00773","title":"LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation","created":"2024-11-01","cited_by_count":8,"area":"lr"},{"id":"2510.10182","title":"A Survey of Inductive Reasoning for Large Language Models","created":"2025-10-11","cited_by_count":8,"area":"lr"},{"id":"2403.04017","title":"Learning Guided Automated Reasoning: A Brief Survey","created":"2024-03-06","cited_by_count":7,"area":"lr"},{"id":"2411.03349","title":"RuAG: Learned-rule-augmented Generation for Large Language Models","created":"2024-11-04","cited_by_count":5,"area":"lr"},{"id":"2211.11650","title":"Neural Meta-Symbolic Reasoning and Learning","created":"2022-11-21","cited_by_count":4,"area":"lr"},{"id":"2207.01916","title":"Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models","created":"2022-07-05","cited_by_count":3,"area":"lr"},{"id":"2310.02133","title":"Learning Reliable Logical Rules with SATNet","created":"2023-10-03","cited_by_count":3,"area":"lr"},{"id":"2506.23128","title":"Are Large Language Models Capable of Deep Relational Reasoning? Insights from DeepSeek-R1 and Benchmark Comparisons","created":"2025-06-29","cited_by_count":2,"area":"lr"},{"id":"2211.12006","title":"Differentiable Fuzzy $\\mathcal{ALC}$: A Neural-Symbolic Representation Language for Symbol Grounding","created":"2022-11-22","cited_by_count":1,"area":"lr"},{"id":"2310.09383","title":"Integrating Symbolic Reasoning into Neural Generative Models for Design Generation","created":"2023-10-13","cited_by_count":1,"area":"lr"},{"id":"2505.20313","title":"Reasoning in Neurosymbolic AI","created":"2025-05-22","cited_by_count":1,"area":"lr"},{"id":"2509.21663","title":"Logic of Hypotheses: from Zero to Full Knowledge in Neurosymbolic Integration","created":"2025-09-25","cited_by_count":1,"area":"lr"},{"id":"2510.15216","title":"Soundness-Aware Level: A Microscopic Signature that Predicts LLM Reasoning Potential","created":"2025-10-17","cited_by_count":1,"area":"lr"},{"id":"2305.02171","title":"Continual Reasoning: Non-Monotonic Reasoning in Neurosymbolic AI using Continual Learning","created":"2023-05-03","cited_by_count":0,"area":"lr"},{"id":"2503.08762","title":"Neurosymbolic Decision Trees","created":"2025-03-11","cited_by_count":0,"area":"lr"},{"id":"2508.03170","title":"Quantum Spectral Reasoning: A Non-Neural Architecture for Interpretable Machine Learning","created":"2025-08-05","cited_by_count":0,"area":"lr"},{"id":"2509.02958","title":"Lattice Annotated Temporal (LAT) Logic for Non-Markovian Reasoning","created":"2025-09-03","cited_by_count":0,"area":"lr"},{"id":"2604.07897","title":"Visual Perceptual to Conceptual First-Order Rule Learning Networks","created":"2026-04-09","cited_by_count":0,"area":"lr"},{"id":"2604.16871","title":"GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning","created":"2026-04-18","cited_by_count":0,"area":"lr"},{"id":"2606.14463","title":"EM-NeSy: Expectation Maximization for Neurosymbolic Learning","created":"2026-06-12","cited_by_count":0,"area":"lr"},{"id":"2607.20402","title":"SoftReason: A Fully Differentiable Neuro-Soft-Symbolic Deductive Reasoning Architecture over High-Dimensional Perceptual Data","created":"2026-07-22","cited_by_count":0,"area":"lr"},{"id":"2610.01383","title":"PRISM: A Category-Theoretic Framework for Measuring and Refining Multimodal Analogies","created":"2026-10-01","cited_by_count":0,"area":"lr"}],"next_cursor":null}