Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation
Fuente:
arXiv
Guardado en:
| Autores principales: | Bednarek, Jakub, Krawiec, Krzysztof |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Guiding Genetic Programming with Graph Neural Networks
por: Wyrwiński, Piotr, et al.
Publicado: (2024)
por: Wyrwiński, Piotr, et al.
Publicado: (2024)
The Neurosymbolic Frontier of Nonuniform Ellipticity: Formalizing Sharp Schauder Theory via Topos-Theoretic Reasoning Models
por: Mishra, Suyash
Publicado: (2026)
por: Mishra, Suyash
Publicado: (2026)
SCALAR: A Neurosymbolic Framework for Automated Conjecture and Reasoning in Quantum Circuit Analysis
por: Feeney, Sean, et al.
Publicado: (2026)
por: Feeney, Sean, et al.
Publicado: (2026)
A Complexity Map of Probabilistic Reasoning for Neurosymbolic Classification Techniques
por: Ledaguenel, Arthur, et al.
Publicado: (2024)
por: Ledaguenel, Arthur, et al.
Publicado: (2024)
Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
por: Hersche, Michael, et al.
Publicado: (2024)
por: Hersche, Michael, et al.
Publicado: (2024)
A Comparative Study of Neurosymbolic AI Approaches to Interpretable Logical Reasoning
por: Chen, Michael K.
Publicado: (2025)
por: Chen, Michael K.
Publicado: (2025)
AbstRaL: Augmenting LLMs' Reasoning by Reinforcing Abstract Thinking
por: Gao, Silin, et al.
Publicado: (2025)
por: Gao, Silin, et al.
Publicado: (2025)
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI
por: Bizzarri, Alice, et al.
Publicado: (2024)
por: Bizzarri, Alice, et al.
Publicado: (2024)
Choices and their Provenance: Explaining Stable Solutions of Abstract Argumentation Frameworks
por: Ludäscher, Bertram, et al.
Publicado: (2025)
por: Ludäscher, Bertram, et al.
Publicado: (2025)
Scaling Neuro-symbolic Problem Solving: Solver-Free Learning of Constraints and Objectives
por: Defresne, Marianne, et al.
Publicado: (2025)
por: Defresne, Marianne, et al.
Publicado: (2025)
A Theoretical Review on Solving Algebra Problems
por: Yu, Xinguo, et al.
Publicado: (2024)
por: Yu, Xinguo, et al.
Publicado: (2024)
Neurosymbolic LoRA: Why and When to Tune Weights vs. Rewrite Prompts
por: Wang, Kevin, et al.
Publicado: (2026)
por: Wang, Kevin, et al.
Publicado: (2026)
Solving with GeoGebra Discovery an Austrian Mathematics Olympiad problem: Lessons Learned
por: Ariño-Morera, Belén, et al.
Publicado: (2024)
por: Ariño-Morera, Belén, et al.
Publicado: (2024)
Simulating Petri nets with Boolean Matrix Logic Programming
por: Ai, Lun, et al.
Publicado: (2024)
por: Ai, Lun, et al.
Publicado: (2024)
A Qualitative Model to Reason about Object Rotations (QOR) applied to solve the Cube Comparison Test (CCT)
por: Falomir, Zoe
Publicado: (2026)
por: Falomir, Zoe
Publicado: (2026)
Solving Hard Mizar Problems with Instantiation and Strategy Invention
por: Jakubův, Jan, et al.
Publicado: (2024)
por: Jakubův, Jan, et al.
Publicado: (2024)
Learning Reward Machines in Cooperative Multi-Agent Tasks
por: Ardon, Leo, et al.
Publicado: (2023)
por: Ardon, Leo, et al.
Publicado: (2023)
Solving Some Geometry Problems of the Náboj 2023 Contest with Automated Deduction in GeoGebra Discovery
por: Hota, Amela, et al.
Publicado: (2024)
por: Hota, Amela, et al.
Publicado: (2024)
R1-Code-Interpreter: LLMs Reason with Code via Supervised and Multi-stage Reinforcement Learning
por: Chen, Yongchao, et al.
Publicado: (2025)
por: Chen, Yongchao, et al.
Publicado: (2025)
Towards Learning Abductive Reasoning using VSA Distributed Representations
por: Camposampiero, Giacomo, et al.
Publicado: (2024)
por: Camposampiero, Giacomo, et al.
Publicado: (2024)
The Neural Compiler: Program-to-Network Translation for Hybrid Scientific Machine Learning
por: Sheneman, Lucas
Publicado: (2026)
por: Sheneman, Lucas
Publicado: (2026)
VITA: Versatile Time Representation Learning for Temporal Hyper-Relational Knowledge Graphs
por: Un, ChongIn, et al.
Publicado: (2025)
por: Un, ChongIn, et al.
Publicado: (2025)
Decoupling Representation and Learning in Genetic Programming: the LaSER Approach
por: Le, Nam H., et al.
Publicado: (2025)
por: Le, Nam H., et al.
Publicado: (2025)
Chronosymbolic Learning: Efficient CHC Solving with Symbolic Reasoning and Inductive Learning
por: Luo, Ziyan, et al.
Publicado: (2023)
por: Luo, Ziyan, et al.
Publicado: (2023)
Boolean Matrix Logic Programming on the GPU
por: Ai, Lun
Publicado: (2024)
por: Ai, Lun
Publicado: (2024)
Learning Abstract Visual Reasoning via Task Decomposition: A Case Study in Raven Progressive Matrices
por: Kwiatkowski, Jakub, et al.
Publicado: (2023)
por: Kwiatkowski, Jakub, et al.
Publicado: (2023)
KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning
por: Varey, Stephen Richard, et al.
Publicado: (2025)
por: Varey, Stephen Richard, et al.
Publicado: (2025)
Synthesizing Evolving Symbolic Representations for Autonomous Systems
por: Sartor, Gabriele, et al.
Publicado: (2024)
por: Sartor, Gabriele, et al.
Publicado: (2024)
A Probabilistic Framework for Hierarchical Goal Recognition
por: Zhang, Chenyuan, et al.
Publicado: (2026)
por: Zhang, Chenyuan, et al.
Publicado: (2026)
NL2CA: Auto-formalizing Cognitive Decision-Making from Natural Language Using an Unsupervised CriticNL2LTL Framework
por: Deng, Zihao, et al.
Publicado: (2025)
por: Deng, Zihao, et al.
Publicado: (2025)
ABD: Default Exception Abduction in Finite First Order Worlds
por: Batzoglou, Serafim
Publicado: (2026)
por: Batzoglou, Serafim
Publicado: (2026)
Formal Verification of Neural Certificates Done Dynamically
por: Henzinger, Thomas A., et al.
Publicado: (2025)
por: Henzinger, Thomas A., et al.
Publicado: (2025)
On Explaining Proxy Discrimination and Unfairness in Individual Decisions Made by AI Systems
por: Sonna, Belona, et al.
Publicado: (2025)
por: Sonna, Belona, et al.
Publicado: (2025)
NOMTO: Neural Operator-based symbolic Model approximaTion and discOvery
por: Garmaev, Sergei, et al.
Publicado: (2025)
por: Garmaev, Sergei, et al.
Publicado: (2025)
To Be or Not To Be: Vector ontologies as a truly formal ontological framework
por: Rothenfusser, Kaspar
Publicado: (2025)
por: Rothenfusser, Kaspar
Publicado: (2025)
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
por: Xu, Weidi, et al.
Publicado: (2023)
por: Xu, Weidi, et al.
Publicado: (2023)
Probabilistic Active Goal Recognition
por: Zhang, Chenyuan, et al.
Publicado: (2025)
por: Zhang, Chenyuan, et al.
Publicado: (2025)
Two Constraint Compilation Methods for Lifted Planning
por: Mantenoglou, Periklis, et al.
Publicado: (2025)
por: Mantenoglou, Periklis, et al.
Publicado: (2025)
Improving Evaluation of Recombination-based Cartesian Genetic Programming
por: Tran, Duy Long, et al.
Publicado: (2026)
por: Tran, Duy Long, et al.
Publicado: (2026)
Adaptive Collaboration of Arena-Based Argumentative LLMs for Explainable and Contestable Legal Reasoning
por: Cao, Hoang-Loc, et al.
Publicado: (2026)
por: Cao, Hoang-Loc, et al.
Publicado: (2026)
Ejemplares similares
-
Guiding Genetic Programming with Graph Neural Networks
por: Wyrwiński, Piotr, et al.
Publicado: (2024) -
The Neurosymbolic Frontier of Nonuniform Ellipticity: Formalizing Sharp Schauder Theory via Topos-Theoretic Reasoning Models
por: Mishra, Suyash
Publicado: (2026) -
SCALAR: A Neurosymbolic Framework for Automated Conjecture and Reasoning in Quantum Circuit Analysis
por: Feeney, Sean, et al.
Publicado: (2026) -
A Complexity Map of Probabilistic Reasoning for Neurosymbolic Classification Techniques
por: Ledaguenel, Arthur, et al.
Publicado: (2024) -
Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
por: Hersche, Michael, et al.
Publicado: (2024)