rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Yifei, Zhang, Li Lyna, Zhu, Yi, Dong, Bingcheng, Zhou, Xudong, Shang, Ning, Yang, Fan, Yang, Mao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
rStar2-Agent: Agentic Reasoning Technical Report
by: Shang, Ning, et al.
Published: (2025)
by: Shang, Ning, et al.
Published: (2025)
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
by: Guan, Xinyu, et al.
Published: (2025)
by: Guan, Xinyu, et al.
Published: (2025)
Scaling Agentic Verifier for Competitive Coding
by: Ma, Zeyao, et al.
Published: (2026)
by: Ma, Zeyao, et al.
Published: (2026)
LongRoPE2: Near-Lossless LLM Context Window Scaling
by: Shang, Ning, et al.
Published: (2025)
by: Shang, Ning, et al.
Published: (2025)
UniCoder: Scaling Code Large Language Model via Universal Code
by: Sun, Tao, et al.
Published: (2024)
by: Sun, Tao, et al.
Published: (2024)
LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts
by: Wang, Siyuan, et al.
Published: (2025)
by: Wang, Siyuan, et al.
Published: (2025)
Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning
by: Huang, Xijie, et al.
Published: (2023)
by: Huang, Xijie, et al.
Published: (2023)
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers
by: Qi, Zhenting, et al.
Published: (2024)
by: Qi, Zhenting, et al.
Published: (2024)
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
by: Ding, Yiran, et al.
Published: (2024)
by: Ding, Yiran, et al.
Published: (2024)
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
by: He, Zhiwei, et al.
Published: (2025)
by: He, Zhiwei, et al.
Published: (2025)
WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning
by: Yu, Zhaojian, et al.
Published: (2023)
by: Yu, Zhaojian, et al.
Published: (2023)
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)
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
by: Huang, Siming, et al.
Published: (2024)
by: Huang, Siming, et al.
Published: (2024)
MapCoder: Multi-Agent Code Generation for Competitive Problem Solving
by: Islam, Md. Ashraful, et al.
Published: (2024)
by: Islam, Md. Ashraful, et al.
Published: (2024)
KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding
by: Xu, Zhangchen, et al.
Published: (2025)
by: Xu, Zhangchen, et al.
Published: (2025)
Scaling Physical Reasoning with the PHYSICS Dataset
by: Zheng, Shenghe, et al.
Published: (2025)
by: Zheng, Shenghe, et al.
Published: (2025)
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
by: Ding, Yangruibo, et al.
Published: (2024)
by: Ding, Yangruibo, et al.
Published: (2024)
Scaling Flaws of Verifier-Guided Search in Mathematical Reasoning
by: Yu, Fei, et al.
Published: (2025)
by: Yu, Fei, et al.
Published: (2025)
Toward Multi-Session Personalized Conversation: A Large-Scale Dataset and Hierarchical Tree Framework for Implicit Reasoning
by: Li, Xintong, et al.
Published: (2025)
by: Li, Xintong, et al.
Published: (2025)
MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning
by: Wang, Ke, et al.
Published: (2025)
by: Wang, Ke, et al.
Published: (2025)
Stable-DiffCoder: Pushing the Frontier of Code Diffusion Large Language Model
by: Fan, Chenghao, et al.
Published: (2026)
by: Fan, Chenghao, et al.
Published: (2026)
BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset
by: Xi, Zhiheng, et al.
Published: (2025)
by: Xi, Zhiheng, et al.
Published: (2025)
SwitchLingua: The First Large-Scale Multilingual and Multi-Ethnic Code-Switching Dataset
by: Xie, Peng, et al.
Published: (2025)
by: Xie, Peng, et al.
Published: (2025)
SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
by: Liu, Junteng, et al.
Published: (2025)
by: Liu, Junteng, et al.
Published: (2025)
Seed-Coder: Let the Code Model Curate Data for Itself
by: Seed, ByteDance, et al.
Published: (2025)
by: Seed, ByteDance, et al.
Published: (2025)
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
by: Guo, Daya, et al.
Published: (2024)
by: Guo, Daya, et al.
Published: (2024)
Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models
by: Chang, Kaiyan, et al.
Published: (2025)
by: Chang, Kaiyan, et al.
Published: (2025)
WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models
by: Feng, Huawen, et al.
Published: (2024)
by: Feng, Huawen, et al.
Published: (2024)
CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities
by: Mao, Yujun, et al.
Published: (2024)
by: Mao, Yujun, et al.
Published: (2024)
InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling
by: Li, Peiji, et al.
Published: (2025)
by: Li, Peiji, et al.
Published: (2025)
The Valley of Code Reasoning: Scaling Knowledge Distillation of Large Language Models
by: He, Muyu, et al.
Published: (2025)
by: He, Muyu, et al.
Published: (2025)
Evaluating the Role of Verifiers in Test-Time Scaling for Legal Reasoning Tasks
by: Romano, Davide, et al.
Published: (2025)
by: Romano, Davide, et al.
Published: (2025)
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
by: Setlur, Amrith, et al.
Published: (2024)
by: Setlur, Amrith, et al.
Published: (2024)
COBOL-Coder: Domain-Adapted Large Language Models for COBOL Code Generation and Translation
by: Dau, Anh T. V., et al.
Published: (2026)
by: Dau, Anh T. V., et al.
Published: (2026)
StoryCoder: Narrative Reformulation for Structured Reasoning in LLM Code Generation
by: Jang, Geonhui, et al.
Published: (2026)
by: Jang, Geonhui, et al.
Published: (2026)
From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling
by: Chen, Zhengyu, et al.
Published: (2025)
by: Chen, Zhengyu, et al.
Published: (2025)
CodeSimpleQA: Scaling Factuality in Code Large Language Models
by: Yang, Jian, et al.
Published: (2025)
by: Yang, Jian, et al.
Published: (2025)
X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests
by: Wu, Jie, et al.
Published: (2026)
by: Wu, Jie, et al.
Published: (2026)
Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning
by: Wen, Jiaxin, et al.
Published: (2024)
by: Wen, Jiaxin, et al.
Published: (2024)
CodeFuse-Query: A Data-Centric Static Code Analysis System for Large-Scale Organizations
by: Xie, Xiaoheng, et al.
Published: (2024)
by: Xie, Xiaoheng, et al.
Published: (2024)
Similar Items
-
rStar2-Agent: Agentic Reasoning Technical Report
by: Shang, Ning, et al.
Published: (2025) -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
by: Guan, Xinyu, et al.
Published: (2025) -
Scaling Agentic Verifier for Competitive Coding
by: Ma, Zeyao, et al.
Published: (2026) -
LongRoPE2: Near-Lossless LLM Context Window Scaling
by: Shang, Ning, et al.
Published: (2025) -
UniCoder: Scaling Code Large Language Model via Universal Code
by: Sun, Tao, et al.
Published: (2024)