Large Language Models Meet Symbolic Provers for Logical Reasoning Evaluation
Fuente:
arXiv
Saved in:
| Main Authors: | Qi, Chengwen, Ma, Ren, Li, Bowen, Du, He, Hui, Binyuan, Wu, Jinwang, Laili, Yuanjun, He, Conghui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers
by: Olausson, Theo X., et al.
Published: (2023)
by: Olausson, Theo X., et al.
Published: (2023)
Diff-MTS: Temporal-Augmented Conditional Diffusion-based AIGC for Industrial Time Series Towards the Large Model Era
by: Ren, Lei, et al.
Published: (2024)
by: Ren, Lei, et al.
Published: (2024)
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion
by: He, Qiyuan, et al.
Published: (2025)
by: He, Qiyuan, et al.
Published: (2025)
FoundaBench: Evaluating Chinese Fundamental Knowledge Capabilities of Large Language Models
by: Li, Wei, et al.
Published: (2024)
by: Li, Wei, et al.
Published: (2024)
Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question Answering
by: Jiang, Bowen, et al.
Published: (2025)
by: Jiang, Bowen, et al.
Published: (2025)
REAL-Prover: Retrieval Augmented Lean Prover for Mathematical Reasoning
by: Shen, Ziju, et al.
Published: (2025)
by: Shen, Ziju, et al.
Published: (2025)
LogicTree: Structured Proof Exploration for Coherent and Rigorous Logical Reasoning with Large Language Models
by: He, Kang, et al.
Published: (2025)
by: He, Kang, et al.
Published: (2025)
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
by: Wan, Yuxuan, et al.
Published: (2024)
by: Wan, Yuxuan, et al.
Published: (2024)
Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding
by: Li, Yanda, et al.
Published: (2024)
by: Li, Yanda, et al.
Published: (2024)
Improving Symbolic Translation of Language Models for Logical Reasoning
by: Thatikonda, Ramya Keerthy, et al.
Published: (2026)
by: Thatikonda, Ramya Keerthy, et al.
Published: (2026)
Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models
by: Liu, Runxuan, et al.
Published: (2026)
by: Liu, Runxuan, et al.
Published: (2026)
BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models
by: Huang, Xu, et al.
Published: (2025)
by: Huang, Xu, et al.
Published: (2025)
Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code
by: Bao, Keqin, et al.
Published: (2025)
by: Bao, Keqin, et al.
Published: (2025)
AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models
by: Zhu, Qin, et al.
Published: (2025)
by: Zhu, Qin, et al.
Published: (2025)
GLoRE: Evaluating Logical Reasoning of Large Language Models
by: liu, Hanmeng, et al.
Published: (2023)
by: liu, Hanmeng, et al.
Published: (2023)
Automated Theorem Provers Help Improve Large Language Model Reasoning
by: McGinness, Lachlan, et al.
Published: (2024)
by: McGinness, Lachlan, et al.
Published: (2024)
Detection, Classification, and Mitigation of Gender Bias in Large Language Models
by: Cheng, Xiaoqing, et al.
Published: (2025)
by: Cheng, Xiaoqing, et al.
Published: (2025)
Mitigating the Bias of Large Language Model Evaluation
by: Zhou, Hongli, et al.
Published: (2024)
by: Zhou, Hongli, et al.
Published: (2024)
Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving
by: Chen, Luoxin, et al.
Published: (2025)
by: Chen, Luoxin, et al.
Published: (2025)
Topic Over Source: The Key to Effective Data Mixing for Language Models Pre-training
by: Peng, Jiahui, et al.
Published: (2025)
by: Peng, Jiahui, et al.
Published: (2025)
On Memorization of Large Language Models in Logical Reasoning
by: Xie, Chulin, et al.
Published: (2024)
by: Xie, Chulin, et al.
Published: (2024)
Iterative Forward Tuning Boosts In-Context Learning in Language Models
by: Yang, Jiaxi, et al.
Published: (2023)
by: Yang, Jiaxi, et al.
Published: (2023)
LogicOCR: Do Your Large Multimodal Models Excel at Logical Reasoning on Text-Rich Images?
by: Ye, Maoyuan, et al.
Published: (2025)
by: Ye, Maoyuan, et al.
Published: (2025)
REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once
by: Pan, Zhuoshi, et al.
Published: (2025)
by: Pan, Zhuoshi, et al.
Published: (2025)
Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case Study
by: Li, Bowen, et al.
Published: (2024)
by: Li, Bowen, et al.
Published: (2024)
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
by: Parmar, Mihir, et al.
Published: (2024)
by: Parmar, Mihir, et al.
Published: (2024)
Lost in the Logic: An Evaluation of Large Language Models' Reasoning Capabilities on LSAT Logic Games
by: Malik, Saumya
Published: (2024)
by: Malik, Saumya
Published: (2024)
Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning
by: Lin, Honglin, et al.
Published: (2025)
by: Lin, Honglin, et al.
Published: (2025)
BaziQA-Benchmark: Evaluating Symbolic and Temporally Compositional Reasoning in Large Language Models
by: Chen, Jiangxi, et al.
Published: (2026)
by: Chen, Jiangxi, et al.
Published: (2026)
Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
by: Liu, Tongxuan, et al.
Published: (2024)
by: Liu, Tongxuan, et al.
Published: (2024)
Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?
by: Wen, Zichen, et al.
Published: (2025)
by: Wen, Zichen, et al.
Published: (2025)
LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation
by: Zhao, Hongke, et al.
Published: (2024)
by: Zhao, Hongke, et al.
Published: (2024)
Beyond Empathy: Integrating Diagnostic and Therapeutic Reasoning with Large Language Models for Mental Health Counseling
by: Hu, He, et al.
Published: (2025)
by: Hu, He, et al.
Published: (2025)
OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models
by: Xu, Hainiu, et al.
Published: (2024)
by: Xu, Hainiu, et al.
Published: (2024)
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles
by: Chen, Jiangjie, et al.
Published: (2025)
by: Chen, Jiangjie, et al.
Published: (2025)
Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models
by: Li, Bozhou, et al.
Published: (2024)
by: Li, Bozhou, et al.
Published: (2024)
Faithful Logical Reasoning via Symbolic Chain-of-Thought
by: Xu, Jundong, et al.
Published: (2024)
by: Xu, Jundong, et al.
Published: (2024)
Medical Reasoning with Large Language Models: A Survey and MR-Bench
by: Ren, Xiaohan, et al.
Published: (2026)
by: Ren, Xiaohan, et al.
Published: (2026)
Knowledge Vector of Logical Reasoning in Large Language Models
by: Wang, Zixuan, et al.
Published: (2026)
by: Wang, Zixuan, et al.
Published: (2026)
Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models
by: Wang, Yiming, et al.
Published: (2023)
by: Wang, Yiming, et al.
Published: (2023)
Similar Items
-
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers
by: Olausson, Theo X., et al.
Published: (2023) -
Diff-MTS: Temporal-Augmented Conditional Diffusion-based AIGC for Industrial Time Series Towards the Large Model Era
by: Ren, Lei, et al.
Published: (2024) -
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion
by: He, Qiyuan, et al.
Published: (2025) -
FoundaBench: Evaluating Chinese Fundamental Knowledge Capabilities of Large Language Models
by: Li, Wei, et al.
Published: (2024) -
Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question Answering
by: Jiang, Bowen, et al.
Published: (2025)