Cover Image

Towards a Neurosymbolic Reasoning System Grounded in Schematic Representations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Olivier, François, Bouraoui, Zied
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Grounding Agent Reasoning in Image Schemas: A Neurosymbolic Approach to Embodied Cognition
by: Olivier, François, et al.
Published: (2025)

Skim-Aware Contrastive Learning for Efficient Document Representation
by: Abro, Waheed Ahmed, et al.
Published: (2025)

Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings
by: Kteich, Hanane, et al.
Published: (2024)

Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations
by: Allen, Bradley P., et al.
Published: (2025)

REFINE-LM: Mitigating Language Model Stereotypes via Reinforcement Learning
by: Qureshi, Rameez, et al.
Published: (2024)

Large Language Models Are Neurosymbolic Reasoners
by: Fang, Meng, et al.
Published: (2024)

Neurosymbolic Graph Enrichment for Grounded World Models
by: De Giorgis, Stefano, et al.
Published: (2024)

Intermediate Languages Matter: Formal Choice Drives Neurosymbolic LLM Reasoning
by: Beiser, Alexander, et al.
Published: (2025)

TEN: Table Explicitization, Neurosymbolically
by: Mehrotra, Nikita, et al.
Published: (2025)

LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers
by: Olausson, Theo X., et al.
Published: (2023)

A Comparative Study of Neurosymbolic AI Approaches to Interpretable Logical Reasoning
by: Chen, Michael K.
Published: (2025)

A Neurosymbolic Fast and Slow Architecture for Graph Coloring
by: Khandelwal, Vedant, et al.
Published: (2024)

Evaluating Robustness of Reasoning Models on Parameterized Logical Problems
by: Es-sebbani, Naïm, et al.
Published: (2026)

A Neurosymbolic Approach to Loop Invariant Generation via Weakest Precondition Reasoning
by: King, Daragh, et al.
Published: (2025)

Symbolic Grounding Reveals Representational Bottlenecks in Abstract Visual Reasoning
by: Vaishnav, Mohit, et al.
Published: (2026)

STRIDE-ED: A Strategy-Grounded Stepwise Reasoning Framework for Empathetic Dialogue Systems
by: Ji, Hongru, et al.
Published: (2026)

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
by: Li, Yangning, et al.
Published: (2025)

Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment
by: Haas, Nathanaël, et al.
Published: (2026)

MODE: Multi-Objective Adaptive Coreset Selection
by: Mukherjee, Tanmoy, et al.
Published: (2025)

PhyNiKCE: A Neurosymbolic Agentic Framework for Autonomous Computational Fluid Dynamics
by: Fan, E, et al.
Published: (2026)

Code Execution as Grounded Supervision for LLM Reasoning
by: Jung, Dongwon, et al.
Published: (2025)

Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning
by: Ganguly, Debargha, et al.
Published: (2024)

SIFT: Grounding LLM Reasoning in Contexts via Stickers
by: Zeng, Zihao, et al.
Published: (2025)

Ontology-Constrained Neural Reasoning in Enterprise Agentic Systems: A Neurosymbolic Architecture for Domain-Grounded AI Agents
by: Tuan, Thanh Luong, et al.
Published: (2026)

State Representation and Termination for Recursive Reasoning Systems
by: Guha, Debashis, et al.
Published: (2026)

Towards Geo-Culturally Grounded LLM Generations
by: Lertvittayakumjorn, Piyawat, et al.
Published: (2025)

LLM-BABYBENCH: Understanding and Evaluating Grounded Planning and Reasoning in LLMs
by: Choukrani, Omar, et al.
Published: (2025)

CoT Referring: Improving Referring Expression Tasks with Grounded Reasoning
by: Dong, Qihua, et al.
Published: (2025)

Correct Is Not Enough: Training Reasoning Planners with Executor-Grounded Rewards
by: Han, Tianyang, et al.
Published: (2026)

Think$^{2}$: Grounded Metacognitive Reasoning in Large Language Models
by: Elenjical, Abraham Paul, et al.
Published: (2026)

Frame of Reference: Addressing the Challenges of Common Ground Representation in Situational Dialogs
by: Mohapatra, Biswesh, et al.
Published: (2026)

The Reasoning Error About Reasoning: Why Different Types of Reasoning Require Different Representational Structures
by: Wu, Yiling
Published: (2026)

Episodic Memories Generation and Evaluation Benchmark for Large Language Models
by: Huet, Alexis, et al.
Published: (2025)

Neurosymbolic Retrievers for Retrieval-augmented Generation
by: Saxena, Yash, et al.
Published: (2026)

Towards Robust Mathematical Reasoning
by: Luong, Thang, et al.
Published: (2025)

Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study
by: Xu, Baixuan, et al.
Published: (2025)

Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought
by: Xiang, Violet, et al.
Published: (2025)

Theory-Grounded Evaluation of Human-Like Fallacy Patterns in LLM Reasoning
by: Richardson, Andrew Keenan, et al.
Published: (2025)

Reliable News or Propagandist News? A Neurosymbolic Model Using Genre, Topic, and Persuasion Techniques to Improve Robustness in Classification
by: Faye, Géraud, et al.
Published: (2026)

CircuitLM: A Multi-Agent LLM-Aided Design Framework for Generating Circuit Schematics from Natural Language Prompts
by: Hasan, Khandakar Shakib Al, et al.
Published: (2026)