Cover Image

Improving Code Translation with Syntax-Guided and Semantic-aware Preference Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Yuhan, Zhang, Huan, Cheng, Wei, Shen, Chen, Yang, Jingyue, Hu, Wei
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bootstrapping Code Translation with Weighted Multilanguage Exploration
by: Wu, Yuhan, et al.
Published: (2026)

A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement
by: Zhang, Huan, et al.
Published: (2024)

Self-Improving Code Generation via Semantic Entropy and Behavioral Consensus
by: Zhang, Huan, et al.
Published: (2026)

Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities
by: Ma, Wei, et al.
Published: (2022)

CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation
by: Huang, Dong, et al.
Published: (2023)

ShortCoder: Knowledge-Augmented Syntax Optimization for Token-Efficient Code Generation
by: Liu, Sicong, et al.
Published: (2026)

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs
by: Liu, Zhihan, et al.
Published: (2024)

ACE: Self-Evolving LLM Coding Framework via Adversarial Unit Test Generation and Preference Optimization
by: Huang, Yixu, et al.
Published: (2026)

Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
by: Zhang, Xing, et al.
Published: (2025)

CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning
by: Roy, Monoshi Kumar, et al.
Published: (2025)

Reproducible, Explainable, and Effective Evaluations of Agentic AI for Software Engineering
by: Li, Jingyue, et al.
Published: (2026)

Learning to Align Human Code Preferences
by: Yin, Xin, et al.
Published: (2025)

cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree
by: Zhang, Yilin, et al.
Published: (2025)

Function-to-Style Guidance of LLMs for Code Translation
by: Zhang, Longhui, et al.
Published: (2025)

InfCode-C++: Intent-Guided Semantic Retrieval and AST-Structured Search for C++ Issue Resolution
by: Dong, Qingao, et al.
Published: (2025)

Re-Evaluating Code LLM Benchmarks Under Semantic Mutation
by: Pan, Zhiyuan, et al.
Published: (2025)

Automated Customization of LLMs for Enterprise Code Repositories Using Semantic Scopes
by: Finkler, Ulrich, et al.
Published: (2026)

Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion
by: Cheng, Wei, et al.
Published: (2024)

$\mathbb{USCD}$: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding
by: Wang, Shuai, et al.
Published: (2024)

Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data
by: Wen, Xin-Cheng, et al.
Published: (2025)

Personality-Guided Code Generation Using Large Language Models
by: Guo, Yaoqi, et al.
Published: (2024)

Rectifier: Code Translation with Corrector via LLMs
by: Yin, Xin, et al.
Published: (2024)

Neuron-Guided Interpretation of Code LLMs: Where, Why, and How?
by: Yin, Zhe, et al.
Published: (2025)

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs
by: Xie, Chen, et al.
Published: (2025)

Multi Language Models for On-the-Fly Syntax Highlighting
by: Palma, Marco Edoardo, et al.
Published: (2025)

Less is More: Towards Green Code Large Language Models via Unified Structural Pruning
by: Yang, Guang, et al.
Published: (2024)

BabelCoder: Agentic Code Translation with Specification Alignment
by: Rabbi, Fazle, et al.
Published: (2025)

Persistent Cross-Attempt State Optimization for Repository-Level Code Generation
by: Pan, Ruwei, et al.
Published: (2026)

CriterAlign: Criterion-Centric Rationale Alignment for Code Preference Judging
by: Li, Zhenyu, et al.
Published: (2026)

Skilled AI Agents for Embedded and IoT Systems Development
by: Li, Yiming, et al.
Published: (2026)

CODE-DITING: A Reasoning-Based Metric for Functional Alignment in Code Evaluation
by: Yang, Guang, et al.
Published: (2025)

Automated Snippet-Alignment Data Augmentation for Code Translation
by: Zhang, Zhiming, et al.
Published: (2025)

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement
by: Zhang, Xiaoqing, et al.
Published: (2024)

Revisiting the Role of Natural Language Code Comments in Code Translation
by: Gupta, Monika, et al.
Published: (2026)

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation
by: Zhao, Yicong, et al.
Published: (2025)

CVeDRL: An Efficient Code Verifier via Difficulty-aware Reinforcement Learning
by: Shi, Ji, et al.
Published: (2026)

Workflows vs Agents for Code Translation
by: Gray, Henry, et al.
Published: (2025)

AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito
by: Hou, Yinghan, et al.
Published: (2026)

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
by: Du, Mingzhe, et al.
Published: (2025)

Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations
by: Palacio, David N., et al.
Published: (2024)