Cover Image

R-Zero: Self-Evolving Reasoning LLM from Zero Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Chengsong, Yu, Wenhao, Wang, Xiaoyang, Zhang, Hongming, Li, Zongxia, Li, Ruosen, Huang, Jiaxin, Mi, Haitao, Yu, Dong
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

G-Zero: Self-Play for Open-Ended Generation from Zero Data
by: Huang, Chengsong, et al.
Published: (2026)

Guided Self-Evolving LLMs with Minimal Human Supervision
by: Yu, Wenhao, et al.
Published: (2025)

VisPlay: Self-Evolving Vision-Language Models from Images
by: He, Yicheng, et al.
Published: (2025)

Group Distributionally Robust Optimization-Driven Reinforcement Learning for LLM Reasoning
by: Panaganti, Kishan, et al.
Published: (2026)

RelayLLM: Efficient Reasoning via Collaborative Decoding
by: Huang, Chengsong, et al.
Published: (2026)

Dual-Uncertainty Guided Policy Learning for Multimodal Reasoning
by: Liu, Rui, et al.
Published: (2025)

Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning
by: Huang, Chengsong, et al.
Published: (2024)

Absolute Zero: Reinforced Self-play Reasoning with Zero Data
by: Zhao, Andrew, et al.
Published: (2025)

Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration
by: Huang, Langlin, et al.
Published: (2026)

Efficient Test-Time Scaling via Self-Calibration
by: Huang, Chengsong, et al.
Published: (2025)

POSS: Position Specialist Generates Better Draft for Speculative Decoding
by: Huang, Langlin, et al.
Published: (2025)

TTCS: Test-Time Curriculum Synthesis for Self-Evolving
by: Yang, Chengyi, et al.
Published: (2026)

WebRollback: Enhancing Web Agents with Explicit Rollback Mechanisms
by: Zhang, Zhisong, et al.
Published: (2025)

DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search
by: Yue, Murong, et al.
Published: (2024)

DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?
by: Jing, Liqiang, et al.
Published: (2024)

Process Rewards with Learned Reliability
by: Li, Jinyuan, et al.
Published: (2026)

SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning
by: Chen, Jiaqi, et al.
Published: (2025)

MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning
by: Feng, Zhaopeng, et al.
Published: (2025)

MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data
by: Li, Zongxia, et al.
Published: (2026)

Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning
by: Liang, Zhenwen, et al.
Published: (2025)

HDFlow: Enhancing LLM Complex Problem-Solving with Hybrid Thinking and Dynamic Workflows
by: Yao, Wenlin, et al.
Published: (2024)

Improving LLM General Preference Alignment via Optimistic Online Mirror Descent
by: Zhang, Yuheng, et al.
Published: (2025)

Diving into Self-Evolving Training for Multimodal Reasoning
by: Liu, Wei, et al.
Published: (2024)

LiteSearch: Efficacious Tree Search for LLM
by: Wang, Ante, et al.
Published: (2024)

Learning to Build the Environment: Self-Evolving Reasoning RL via Verifiable Environment Synthesis
by: Shi, Yucheng, et al.
Published: (2026)

Retrieval-augmented GUI Agents with Generative Guidelines
by: Xu, Ran, et al.
Published: (2025)

Self-Evolving Critique Abilities in Large Language Models
by: Tang, Zhengyang, et al.
Published: (2025)

LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction
by: Nagar, Aishik, et al.
Published: (2024)

Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic
by: Zhao, Xufeng, et al.
Published: (2023)

A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning
by: Hong, Ruixin, et al.
Published: (2023)

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning
by: Zhou, Zhi, et al.
Published: (2025)

Better LLM Reasoning via Dual-Play
by: Zhang, Zhengxin, et al.
Published: (2025)

SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
by: Liu, Bo, et al.
Published: (2025)

GRLO: Towards Generalizable Reinforcement Learning in Open-Ended Environments from Zero
by: Yin, Shangjian, et al.
Published: (2026)

Self-Consistency Boosts Calibration for Math Reasoning
by: Wang, Ante, et al.
Published: (2024)

UniRel: Relation-Centric Knowledge Graph Question Answering with RL-Tuned LLM Reasoning
by: Tang, Yinxu, et al.
Published: (2025)

SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation
by: Yang, Wenjie, et al.
Published: (2025)

Reasoning-Oriented and Analogy-Based Methods for Locating and Editing in Zero-Shot Event-Relational Reasoning
by: Tang, Jingyao, et al.
Published: (2025)

Fine-Grained Self-Endorsement Improves Factuality and Reasoning
by: Wang, Ante, et al.
Published: (2024)

Duel-Evolve: Reward-Free Test-Time Scaling via LLM Self-Preferences
by: Karlekar, Sweta, et al.
Published: (2026)