Cover Image

Learning Code Preference via Synthetic Evolution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Jiawei, Nguyen, Thanh, Shang, Mingyue, Ding, Hantian, Li, Xiaopeng, Yu, Yu, Kumar, Varun, Wang, Zijian
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Planning-Aware Code Infilling via Horizon-Length Prediction
by: Ding, Yifeng, et al.
Published: (2024)

Training Language Model Agents to Find Vulnerabilities with CTF-Dojo
by: Zhuo, Terry Yue, et al.
Published: (2025)

Evaluating Language Models for Efficient Code Generation
by: Liu, Jiawei, et al.
Published: (2024)

SelfCodeAlign: Self-Alignment for Code Generation
by: Wei, Yuxiang, et al.
Published: (2024)

RepoQA: Evaluating Long Context Code Understanding
by: Liu, Jiawei, et al.
Published: (2024)

Vibe Checker: Aligning Code Evaluation with Human Preference
by: Zhong, Ming, et al.
Published: (2025)

$\textbf{PLUM}$: Improving Code LMs with Execution-Guided On-Policy Preference Learning Driven By Synthetic Test Cases
by: Zhang, Dylan, et al.
Published: (2024)

Defect Prediction with Content-based Features
by: Pham, Hung Viet, et al.
Published: (2024)

CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences
by: Weyssow, Martin, et al.
Published: (2024)

Towards Understanding What Code Language Models Learned
by: Ahmed, Toufique, et al.
Published: (2023)

PurpCode: Reasoning for Safer Code Generation
by: Liu, Jiawei, et al.
Published: (2025)

Code Review Without Borders: Evaluating Synthetic vs. Real Data for Review Recommendation
by: Cohen, Yogev, et al.
Published: (2025)

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
by: Guo, Jiawei, et al.
Published: (2024)

XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts
by: Ding, Yifeng, et al.
Published: (2024)

Correctness-Guaranteed Code Generation via Constrained Decoding
by: Li, Lingxiao, et al.
Published: (2025)

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
by: Jain, Naman, et al.
Published: (2024)

HE-SNR: Uncovering Latent Logic via Entropy for Guiding Mid-Training on SWE-bench
by: Wang, Yueyang, et al.
Published: (2026)

ReCode: Reinforcing Code Generation with Reasoning-Process Rewards
by: Fan, Lishui, et al.
Published: (2025)

Scoring Verifiers: Evaluating Synthetic Verification for Code and Reasoning
by: Ficek, Aleksander, et al.
Published: (2025)

IntentCoding: Amplifying User Intent in Code Generation
by: Fang, Zheng, et al.
Published: (2026)

ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning
by: Jiang, Juyong, et al.
Published: (2026)

BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution
by: Wu, Yangzhen, et al.
Published: (2026)

Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems
by: Liu, Jiacheng, et al.
Published: (2026)

Verifier-Guided Code Translation via Meta-Step Decoding
by: Zhou, Tianyang, et al.
Published: (2026)

Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM
by: Ryan, Gabriel, et al.
Published: (2024)

Inferring Properties of Graph Neural Networks
by: Nguyen, Dat, et al.
Published: (2024)

LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs
by: Xia, Yunhui, et al.
Published: (2025)

NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts
by: Zhang, Shudan, et al.
Published: (2024)

Correctness Assessment of Code Generated by Large Language Models Using Internal Representations
by: Bui, Tuan-Dung, et al.
Published: (2025)

Learning Randomized Reductions
by: Erata, Ferhat, et al.
Published: (2024)

Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study
by: Li, Yufei, et al.
Published: (2024)

Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM
by: Xia, Chunqiu Steven, et al.
Published: (2024)

CodeJudge: Evaluating Code Generation with Large Language Models
by: Tong, Weixi, et al.
Published: (2024)

GiFT: Gibbs Fine-Tuning for Code Generation
by: Li, Haochen, et al.
Published: (2025)

Suggesting Code Edits in Interactive Machine Learning Notebooks Using Large Language Models
by: Jin, Bihui, et al.
Published: (2025)

Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs
by: Iskander, Shadi, et al.
Published: (2024)

Large Language Models for Multilingual Code Intelligence: A Survey
by: Jiang, Chao, et al.
Published: (2026)

Hybrid-Gym: Training Coding Agents to Generalize Across Tasks
by: Xie, Yiqing, et al.
Published: (2026)

Constrained Decoding for Fill-in-the-Middle Code Language Models via Efficient Left and Right Quotienting of Context-Sensitive Grammars
by: Melcer, Daniel, et al.
Published: (2024)

ReCode: Updating Code API Knowledge with Reinforcement Learning
by: Wu, Haoze, et al.
Published: (2025)