Cover Image

Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Morishita, Terufumi, Morio, Gaku, Yamaguchi, Atsuki, Sogawa, Yasuhiro
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Logic in Computer Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
by: Zhao, Yanxiao, et al.
Published: (2025)

SATBench: Benchmarking LLMs' Logical Reasoning via Automated Puzzle Generation from SAT Formulas
by: Wei, Anjiang, et al.
Published: (2025)

Temporal Inductive Logic Reasoning over Hypergraphs
by: Yang, Yuan, et al.
Published: (2022)

Structured Abductive-Deductive-Inductive Reasoning for LLMs via Algebraic Invariants
by: Gilda, Sankalp, et al.
Published: (2026)

Can Transformers Reason Logically? A Study in SAT Solving
by: Pan, Leyan, et al.
Published: (2024)

GLIDR: Graph-Like Inductive Logic Programming with Differentiable Reasoning
by: Johnson, Blair, et al.
Published: (2025)

The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics
by: Sälzer, Marco, et al.
Published: (2025)

A Logic for Reasoning About Aggregate-Combine Graph Neural Networks
by: Nunn, Pierre, et al.
Published: (2024)

Logic Tensor Network-Enhanced Generative Adversarial Network
by: Upreti, Nijesh, et al.
Published: (2026)

Controlling Logical Collapse in LLMs via Algebraic Ontology Projection over F2
by: Miyashita, Hisashi, et al.
Published: (2026)

FLARE: Faithful Logic-Aided Reasoning and Exploration
by: Arakelyan, Erik, et al.
Published: (2024)

The Geometry of Reasoning: Flowing Logics in Representation Space
by: Zhou, Yufa, et al.
Published: (2025)

Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates
by: Yamaguchi, Atsuki, et al.
Published: (2025)

MathConstraint: Automated Generation of Verified Combinatorial Reasoning Instances for LLMs
by: Pati, Viresh, et al.
Published: (2026)

Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach
by: Meli, Daniele, et al.
Published: (2024)

Are Language Models Efficient Reasoners? A Perspective from Logic Programming
by: Opedal, Andreas, et al.
Published: (2025)

Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RL
by: Lee, Jihwan, et al.
Published: (2024)

Formally Verified Neurosymbolic Trajectory Learning via Tensor-based Linear Temporal Logic on Finite Traces
by: Chevallier, Mark, et al.
Published: (2025)

Neural Logic Networks for Interpretable Classification
by: Perreault, Vincent, et al.
Published: (2025)

JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models
by: Chen, Michael K., et al.
Published: (2025)

Dual Box Embeddings for the Description Logic EL++
by: Jackermeier, Mathias, et al.
Published: (2023)

Regional, Lattice and Logical Representations of Neural Networks
by: Preto, Sandro, et al.
Published: (2025)

Discovering New Theorems via LLMs with In-Context Proof Learning in Lean
by: Kasaura, Kazumi, et al.
Published: (2025)

Lattice Annotated Temporal (LAT) Logic for Non-Markovian Reasoning
by: Mukherji, Kaustuv, et al.
Published: (2025)

Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models
by: Qasim, Kaleem Ullah, et al.
Published: (2025)

Comparing Neural Network Encodings for Logic-based Explainability
by: Carvalho, Levi Cordeiro, et al.
Published: (2025)

Learning Concepts Definable in First-Order Logic with Counting
by: van Bergerem, Steffen
Published: (2019)

Learning Temporal Logic Predicates from Data with Statistical Guarantees
by: Soroka, Emi, et al.
Published: (2024)

Conditional Logical Message Passing Transformer for Complex Query Answering
by: Zhang, Chongzhi, et al.
Published: (2024)

Polynomial Surrogate Training for Differentiable Ternary Logic Gate Networks
by: Damera, Sai Sandeep, et al.
Published: (2026)

Logic of Hypotheses: from Zero to Full Knowledge in Neurosymbolic Integration
by: Bizzaro, Davide, et al.
Published: (2025)

Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning
by: He, Haoyuan, et al.
Published: (2022)

From Circuit Evidence to Mechanistic Theory: An Inductive Logic Approach
by: Aljaafari, Nura, et al.
Published: (2026)

Multitask Kernel-based Learning with First-Order Logic Constraints
by: Diligenti, Michelangelo, et al.
Published: (2023)

Extracting Formulae in Many-Valued Logic from Deep Neural Networks
by: Zhang, Yani, et al.
Published: (2024)

On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate Networks
by: Damera, Sai Sandeep, et al.
Published: (2026)

A Foundational Theory of Quantitative Abstraction: Adjunctions, Duality, and Logic for Probabilistic Systems
by: Anwer, Nivar, et al.
Published: (2025)

Machine Learning Model Integration with Open World Temporal Logic for Process Automation
by: Aditya, Dyuman, et al.
Published: (2025)

ANDRE: An Attention-based Neuro-symbolic Differentiable Rule Extractor for Inductive Logic Programming
by: Sharifi, Iman, et al.
Published: (2026)

Think Locally, Explain Globally: Graph-Guided LLM Investigations via Local Reasoning and Belief Propagation
by: Jha, Saurabh, et al.
Published: (2026)