Cover Image

Towards Automated Functional Equation Proving: A Benchmark Dataset and A Domain-Specific In-Context Agent

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Buali, Mahdi, Hoehndorf, Robert
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language Symbolic Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantum Knowledge Graph: Modeling Context-Dependent Triplet Validity
by: Wang, Yao, et al.
Published: (2026)

ASyMOB: Algebraic Symbolic Mathematical Operations Benchmark
by: Shalyt, Michael, et al.
Published: (2025)

Cognitive LLMs: Towards Integrating Cognitive Architectures and Large Language Models for Manufacturing Decision-making
by: Wu, Siyu, et al.
Published: (2024)

Speaking in Words, Thinking in Logic: A Dual-Process Framework in QA Systems
by: Bui, Tuan, et al.
Published: (2025)

ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model
by: Yu, Xuanqing, et al.
Published: (2024)

Cognitive Architectures for Language Agents
by: Sumers, Theodore R., et al.
Published: (2023)

Large Language Models as Mirrors of Societal Moral Standards
by: Papadopoulou, Evi, et al.
Published: (2024)

LLMs as mirrors of societal moral standards: reflection of cultural divergence and agreement across ethical topics
by: Meijer, Mijntje, et al.
Published: (2024)

AbstRaL: Augmenting LLMs' Reasoning by Reinforcing Abstract Thinking
by: Gao, Silin, et al.
Published: (2025)

ConceptGuard: Neuro-Symbolic Safety Guardrails via Sparse Interpretable Jailbreak Concepts
by: Aswal, Darpan, et al.
Published: (2025)

GOFAI meets Generative AI: Development of Expert Systems by means of Large Language Models
by: Garrido-Merchán, Eduardo C., et al.
Published: (2025)

Neuro-Symbolic Frameworks: Conceptual Characterization and Empirical Comparative Analysis
by: Sinha, Sania, et al.
Published: (2025)

R1-Code-Interpreter: LLMs Reason with Code via Supervised and Multi-stage Reinforcement Learning
by: Chen, Yongchao, et al.
Published: (2025)

Simulation to Rules: A Dual-VLM Framework for Formal Visual Planning
by: Hao, Yilun, et al.
Published: (2025)

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

CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning
by: Leang, Joshua Ong Jun, et al.
Published: (2024)

Jet Expansions of Residual Computation
by: Chen, Yihong, et al.
Published: (2024)

Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus
by: Lee, Seungpil, et al.
Published: (2024)

DRIFT: Decompose, Retrieve, Illustrate, then Formalize Theorems
by: Zhang, Meiru, et al.
Published: (2025)

Beyond Accuracy: Introducing a Symbolic-Mechanistic Approach to Interpretable Evaluation
by: Habibi, Reza, et al.
Published: (2026)

Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic
by: Zhao, Xufeng, et al.
Published: (2023)

NePTune: A Neuro-Pythonic Framework for Tunable Compositional Reasoning on Vision-Language
by: Kamali, Danial, et al.
Published: (2025)

A Probabilistic Framework for Hierarchical Goal Recognition
by: Zhang, Chenyuan, et al.
Published: (2026)

Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
by: Matsubara, Yoshitomo, et al.
Published: (2022)

SCALAR: A Neurosymbolic Framework for Automated Conjecture and Reasoning in Quantum Circuit Analysis
by: Feeney, Sean, et al.
Published: (2026)

LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
by: Xu, Weidi, et al.
Published: (2023)

A Qualitative Model to Reason about Object Rotations (QOR) applied to solve the Cube Comparison Test (CCT)
by: Falomir, Zoe
Published: (2026)

Scalable High-Recall Constraint-Satisfaction-Based Information Retrieval for Clinical Trials Matching
by: Zhou, Cyrus, et al.
Published: (2026)

Executable Archaeology: Reanimating the Logic Theorist from its IPL-V Source
by: Shrager, Jeff
Published: (2026)

Agent Hunt: Bounty Based Collaborative Autoformalization With LLM Agents
by: Brown, Chad E., et al.
Published: (2026)

From Words to Worlds: Compositionality for Cognitive Architectures
by: Dhar, Ruchira, et al.
Published: (2024)

Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks
by: Smolensky, Paul, et al.
Published: (2024)

Verified Language Processing with Hybrid Explainability: A Technical Report
by: Fox, Oliver Robert, et al.
Published: (2025)

A Dataset of Nonlinear Equations for Subdivision
by: Xu, Juan, et al.
Published: (2026)

Automated Loss function Search for Class-imbalanced Node Classification
by: Guo, Xinyu, et al.
Published: (2024)

Simulating Petri nets with Boolean Matrix Logic Programming
by: Ai, Lun, et al.
Published: (2024)

Synthesizing Evolving Symbolic Representations for Autonomous Systems
by: Sartor, Gabriele, et al.
Published: (2024)

Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation
by: Bednarek, Jakub, et al.
Published: (2024)

Choices and their Provenance: Explaining Stable Solutions of Abstract Argumentation Frameworks
by: Ludäscher, Bertram, et al.
Published: (2025)

NL2CA: Auto-formalizing Cognitive Decision-Making from Natural Language Using an Unsupervised CriticNL2LTL Framework
by: Deng, Zihao, et al.
Published: (2025)