Beyond Accuracy: Introducing a Symbolic-Mechanistic Approach to Interpretable Evaluation
Fuente:
arXiv
Saved in:
| Main Authors: | Habibi, Reza, Lee, Darian, El-Nasr, Magy Seif |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Comparative Study of Neurosymbolic AI Approaches to Interpretable Logical Reasoning
by: Chen, Michael K.
Published: (2025)
by: Chen, Michael K.
Published: (2025)
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic
by: Zhao, Xufeng, et al.
Published: (2023)
by: Zhao, Xufeng, et al.
Published: (2023)
ConceptGuard: Neuro-Symbolic Safety Guardrails via Sparse Interpretable Jailbreak Concepts
by: Aswal, Darpan, et al.
Published: (2025)
by: Aswal, Darpan, et al.
Published: (2025)
EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph
by: Jiang, Nan, et al.
Published: (2025)
by: Jiang, Nan, et al.
Published: (2025)
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
by: Chen, Yongchao, et al.
Published: (2025)
by: Chen, Yongchao, et al.
Published: (2025)
Unsupervised Symbolic Anomaly Detection
by: Hossain, Md Maruf, et al.
Published: (2026)
by: Hossain, Md Maruf, et al.
Published: (2026)
Symbolic Foundation Regressor on Complex Networks
by: Liu, Weiting, et al.
Published: (2025)
by: Liu, Weiting, et al.
Published: (2025)
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression
by: Saegert, Paul, et al.
Published: (2026)
by: Saegert, Paul, et al.
Published: (2026)
ViSymRe: Vision Multimodal Symbolic Regression
by: Li, Da, et al.
Published: (2024)
by: Li, Da, et al.
Published: (2024)
AlphaIntegrator: Transformer Action Search for Symbolic Integration Proofs
by: Ünsal, Mert, et al.
Published: (2024)
by: Ünsal, Mert, et al.
Published: (2024)
CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning
by: Leang, Joshua Ong Jun, et al.
Published: (2024)
by: Leang, Joshua Ong Jun, et al.
Published: (2024)
Cognitive Architectures for Language Agents
by: Sumers, Theodore R., et al.
Published: (2023)
by: Sumers, Theodore R., et al.
Published: (2023)
Jet Expansions of Residual Computation
by: Chen, Yihong, et al.
Published: (2024)
by: Chen, Yihong, et al.
Published: (2024)
Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression
by: Hu, Jiao, et al.
Published: (2024)
by: Hu, Jiao, et al.
Published: (2024)
UniSymNet: A Unified Symbolic Network Guided by Transformer
by: Li, Xinxin, et al.
Published: (2025)
by: Li, Xinxin, et al.
Published: (2025)
Chronosymbolic Learning: Efficient CHC Solving with Symbolic Reasoning and Inductive Learning
by: Luo, Ziyan, et al.
Published: (2023)
by: Luo, Ziyan, et al.
Published: (2023)
Auditable Unit-Aware Thresholds in Symbolic Regression via Logistic-Gated Operators
by: Deng, Ou, et al.
Published: (2025)
by: Deng, Ou, et al.
Published: (2025)
Unlocking the Potential of Generative AI through Neuro-Symbolic Architectures: Benefits and Limitations
by: Bougzime, Oualid, et al.
Published: (2025)
by: Bougzime, Oualid, et al.
Published: (2025)
Ontology-Guided Neuro-Symbolic Inference: Grounding Language Models with Mathematical Domain Knowledge
by: Labre, Marcelo
Published: (2026)
by: Labre, Marcelo
Published: (2026)
Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework
by: Tian, Yuan, et al.
Published: (2025)
by: Tian, Yuan, et al.
Published: (2025)
Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
by: Hersche, Michael, et al.
Published: (2024)
by: Hersche, Michael, et al.
Published: (2024)
Bootstrapping OTS-Funcimg Pre-training Model (Botfip) -- A Comprehensive Symbolic Regression Framework
by: Chen, Tianhao, et al.
Published: (2024)
by: Chen, Tianhao, et al.
Published: (2024)
Scheduling That Speaks: An Interpretable Programmatic Reinforcement Learning Framework
by: Hu, Chengpeng, et al.
Published: (2026)
by: Hu, Chengpeng, et al.
Published: (2026)
ASyMOB: Algebraic Symbolic Mathematical Operations Benchmark
by: Shalyt, Michael, et al.
Published: (2025)
by: Shalyt, Michael, et al.
Published: (2025)
Neuro-Symbolic Frameworks: Conceptual Characterization and Empirical Comparative Analysis
by: Sinha, Sania, et al.
Published: (2025)
by: Sinha, Sania, et al.
Published: (2025)
Symbolic Regression with a Learned Concept Library
by: Grayeli, Arya, et al.
Published: (2024)
by: Grayeli, Arya, et al.
Published: (2024)
ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model
by: Yu, Xuanqing, et al.
Published: (2024)
by: Yu, Xuanqing, et al.
Published: (2024)
Hierarchical NeuroSymbolic Approach for Comprehensive and Explainable Action Quality Assessment
by: Okamoto, Lauren, et al.
Published: (2024)
by: Okamoto, Lauren, et al.
Published: (2024)
From Words to Worlds: Compositionality for Cognitive Architectures
by: Dhar, Ruchira, et al.
Published: (2024)
by: Dhar, Ruchira, et al.
Published: (2024)
E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic Expressions
by: Zheng, Hongbo, et al.
Published: (2025)
by: Zheng, Hongbo, et al.
Published: (2025)
Hierarchical Neuro-Symbolic Decision Transformer
by: Baheri, Ali, et al.
Published: (2025)
by: Baheri, Ali, et al.
Published: (2025)
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
by: Matsubara, Yoshitomo, et al.
Published: (2022)
by: Matsubara, Yoshitomo, et al.
Published: (2022)
R1-Code-Interpreter: LLMs Reason with Code via Supervised and Multi-stage Reinforcement Learning
by: Chen, Yongchao, et al.
Published: (2025)
by: Chen, Yongchao, et al.
Published: (2025)
ANSR-DT: An Adaptive Neuro-Symbolic Learning and Reasoning Framework for Digital Twins
by: Hakim, Safayat Bin, et al.
Published: (2025)
by: Hakim, Safayat Bin, et al.
Published: (2025)
Large Language Models are Interpretable Learners
by: Wang, Ruochen, et al.
Published: (2024)
by: Wang, Ruochen, et al.
Published: (2024)
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop
by: Kohler, Hector, et al.
Published: (2024)
by: Kohler, Hector, et al.
Published: (2024)
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
by: Dinu, Marius-Constantin, et al.
Published: (2024)
by: Dinu, Marius-Constantin, et al.
Published: (2024)
Knowledge Integration for Physics-informed Symbolic Regression Using Pre-trained Large Language Models
by: Taskin, Bilge, et al.
Published: (2025)
by: Taskin, Bilge, et al.
Published: (2025)
Neuro-Symbolic ODE Discovery with Latent Grammar Flow
by: Yu, Karin, et al.
Published: (2026)
by: Yu, Karin, et al.
Published: (2026)
Logic Sketch Prompting (LSP): A Deterministic and Interpretable Prompting Method
by: Tripathi, Satvik
Published: (2025)
by: Tripathi, Satvik
Published: (2025)
Similar Items
-
A Comparative Study of Neurosymbolic AI Approaches to Interpretable Logical Reasoning
by: Chen, Michael K.
Published: (2025) -
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic
by: Zhao, Xufeng, et al.
Published: (2023) -
ConceptGuard: Neuro-Symbolic Safety Guardrails via Sparse Interpretable Jailbreak Concepts
by: Aswal, Darpan, et al.
Published: (2025) -
EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph
by: Jiang, Nan, et al.
Published: (2025) -
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
by: Chen, Yongchao, et al.
Published: (2025)