SymCode: A Neurosymbolic Approach to Mathematical Reasoning via Verifiable Code Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Nezhad, Sina Bagheri, Li, Yao, Agrawal, Ameeta |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Large Language Models with Neurosymbolic Reasoning for Multilingual Tasks
by: Nezhad, Sina Bagheri, et al.
Published: (2025)
by: Nezhad, Sina Bagheri, et al.
Published: (2025)
What Drives Performance in Multilingual Language Models?
by: Nezhad, Sina Bagheri, et al.
Published: (2024)
by: Nezhad, Sina Bagheri, et al.
Published: (2024)
Exploring the Maze of Multilingual Modeling
by: Nezhad, Sina Bagheri, et al.
Published: (2023)
by: Nezhad, Sina Bagheri, et al.
Published: (2023)
Fair Summarization: Bridging Quality and Diversity in Extractive Summaries
by: Nezhad, Sina Bagheri, et al.
Published: (2024)
by: Nezhad, Sina Bagheri, et al.
Published: (2024)
Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language Models
by: Nezhad, Sina Bagheri, et al.
Published: (2024)
by: Nezhad, Sina Bagheri, et al.
Published: (2024)
Evaluating Multilingual Long-Context Models for Retrieval and Reasoning
by: Agrawal, Ameeta, et al.
Published: (2024)
by: Agrawal, Ameeta, et al.
Published: (2024)
The Impact of Model Scaling on Seen and Unseen Language Performance
by: Pokharel, Rhitabrat, et al.
Published: (2025)
by: Pokharel, Rhitabrat, et al.
Published: (2025)
Toward Culturally Grounded Natural Language Processing
by: Nezhad, Sina Bagheri
Published: (2026)
by: Nezhad, Sina Bagheri
Published: (2026)
On Code-Induced Reasoning in LLMs
by: Waheed, Abdul, et al.
Published: (2025)
by: Waheed, Abdul, et al.
Published: (2025)
A Neurosymbolic Approach to Loop Invariant Generation via Weakest Precondition Reasoning
by: King, Daragh, et al.
Published: (2025)
by: King, Daragh, et al.
Published: (2025)
Generating Equivalent Representations of Code By A Self-Reflection Approach
by: Li, Jia, et al.
Published: (2024)
by: Li, Jia, et al.
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)
\texttt{ReMind}: Understanding Deductive Code Reasoning in LLMs
by: Gao, Jun, et al.
Published: (2025)
by: Gao, Jun, et al.
Published: (2025)
Constrained Code Generation with Discrete Diffusion
by: Shao, Lize, et al.
Published: (2026)
by: Shao, Lize, et al.
Published: (2026)
FPMoE: A Sparse Mixture-of-Experts Approach to Functional Code Generation
by: Pham, Loc, et al.
Published: (2026)
by: Pham, Loc, et al.
Published: (2026)
Verified Code Transpilation with LLMs
by: Bhatia, Sahil, et al.
Published: (2024)
by: Bhatia, Sahil, et al.
Published: (2024)
CodeMind: Evaluating Large Language Models for Code Reasoning
by: Liu, Changshu, et al.
Published: (2024)
by: Liu, Changshu, et al.
Published: (2024)
No-Worse Context-Aware Decoding: Preventing Neutral Regression in Context-Conditioned Generation
by: Tao, Yufei, et al.
Published: (2026)
by: Tao, Yufei, et al.
Published: (2026)
Self-Infilling Code Generation
by: Zheng, Lin, et al.
Published: (2023)
by: Zheng, Lin, et al.
Published: (2023)
A Formalization of the Yul Language and Some Verified Yul Code Transformations
by: Coglio, Alessandro, et al.
Published: (2025)
by: Coglio, Alessandro, et al.
Published: (2025)
DOCE: Finding the Sweet Spot for Execution-Based Code Generation
by: Li, Haau-Sing, et al.
Published: (2024)
by: Li, Haau-Sing, et al.
Published: (2024)
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
by: Le, Hung, et al.
Published: (2023)
by: Le, Hung, et al.
Published: (2023)
VeriAgent: A Tool-Integrated Multi-Agent System with Evolving Memory for PPA-Aware RTL Code Generation
by: Wang, Yaoxiang, et al.
Published: (2026)
by: Wang, Yaoxiang, et al.
Published: (2026)
HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization
by: Peng, Qiwei, et al.
Published: (2024)
by: Peng, Qiwei, et al.
Published: (2024)
Formally Verified C Code Generation from Hybrid Communicating Sequential Processes
by: Wang, Shuling, et al.
Published: (2024)
by: Wang, Shuling, et al.
Published: (2024)
LLM4Decompile: Decompiling Binary Code with Large Language Models
by: Tan, Hanzhuo, et al.
Published: (2024)
by: Tan, Hanzhuo, et al.
Published: (2024)
Beyond BLEU: A Semantic Evaluation Method for Code Translation
by: Näumann, Julius, et al.
Published: (2026)
by: Näumann, Julius, et al.
Published: (2026)
VERINA: Benchmarking Verifiable Code Generation
by: Ye, Zhe, et al.
Published: (2025)
by: Ye, Zhe, et al.
Published: (2025)
Improving LLM Code Reasoning via Semantic Equivalence Self-Play with Formal Verification
by: Barone, Antonio Valerio Miceli, et al.
Published: (2026)
by: Barone, Antonio Valerio Miceli, et al.
Published: (2026)
PerfCodeBench: Benchmarking LLMs for System-Level High-Performance Code Optimization
by: Jing, Huihao, et al.
Published: (2026)
by: Jing, Huihao, et al.
Published: (2026)
VerityMath: Advancing Mathematical Reasoning by Self-Verification Through Unit Consistency
by: Han, Vernon Toh Yan, et al.
Published: (2023)
by: Han, Vernon Toh Yan, et al.
Published: (2023)
SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning
by: Wang, Yiting, et al.
Published: (2025)
by: Wang, Yiting, et al.
Published: (2025)
PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback
by: Peng, Yun, et al.
Published: (2024)
by: Peng, Yun, et al.
Published: (2024)
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
by: Shi, Yuling, et al.
Published: (2024)
by: Shi, Yuling, et al.
Published: (2024)
MTQ-Eval: Multilingual Text Quality Evaluation for Language Models
by: Pokharel, Rhitabrat, et al.
Published: (2025)
by: Pokharel, Rhitabrat, et al.
Published: (2025)
Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization
by: Olabisi, Olubusayo, et al.
Published: (2024)
by: Olabisi, Olubusayo, et al.
Published: (2024)
CodeCloak: A Method for Evaluating and Mitigating Code Leakage by LLM Code Assistants
by: Noah, Amit Finkman, et al.
Published: (2024)
by: Noah, Amit Finkman, et al.
Published: (2024)
Is Next Token Prediction Sufficient for GPT? Exploration on Code Logic Comprehension
by: Qi, Mengnan, et al.
Published: (2024)
by: Qi, Mengnan, et al.
Published: (2024)
Hear Your Code Fail, Voice-Assisted Debugging for Python
by: Amiri, Sayed Mahbub Hasan, et al.
Published: (2025)
by: Amiri, Sayed Mahbub Hasan, et al.
Published: (2025)
NExT: Teaching Large Language Models to Reason about Code Execution
by: Ni, Ansong, et al.
Published: (2024)
by: Ni, Ansong, et al.
Published: (2024)
Similar Items
-
Enhancing Large Language Models with Neurosymbolic Reasoning for Multilingual Tasks
by: Nezhad, Sina Bagheri, et al.
Published: (2025) -
What Drives Performance in Multilingual Language Models?
by: Nezhad, Sina Bagheri, et al.
Published: (2024) -
Exploring the Maze of Multilingual Modeling
by: Nezhad, Sina Bagheri, et al.
Published: (2023) -
Fair Summarization: Bridging Quality and Diversity in Extractive Summaries
by: Nezhad, Sina Bagheri, et al.
Published: (2024) -
Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language Models
by: Nezhad, Sina Bagheri, et al.
Published: (2024)