Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward

Xinyu Tang, Zhenduo Zhang, Yurou Liu +4

Towards Large Language Model Guided Kernel Direct Fuzzing

Xie Li, Zhaoyue Yuan, Zhenduo Zhang +2

Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning

Xiaoxue Cheng, Junyi Li, Zhenduo Zhang +4

Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs

Ling Team, Bin Hu, Cai Chen +43

Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning

Xinyu Tang, Qianggang Cao, Yurou Liu +13

The paper introduces a training pipeline that scales zero‑reinforcement‑learning to a trillion‑parameter language model, revealing emergent chain‑of‑thought reasoning abilities and…

SHARP: Synthesizing High-quality Aligned Reasoning Problems for Large Reasoning Models Reinforcement Learning

Xiong Jun Wu, Zhenduo Zhang, ZuJie Wen +11

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale

Ang Li, Ben Liu, Bin Han +215

Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model

Ling Team, Anqi Shen, Baihui Li +101

Improved Face Representation via Joint Label Classification and Supervised Contrastive Clustering

Zhenduo Zhang

Results of the 2024 CommonRoad Motion Planning Competition for Autonomous Vehicles

Yanliang Huang, Xia Yan, Peiran Yin +5

Are KANs Effective for Multivariate Time Series Forecasting?

Xiao Han, Xinfeng Zhang, Yiling Wu +2

CoIE: Chain-of-Instruct Editing for Multi-Attribute Face Manipulation

Zhenduo Zhang, Bo-Wen Zhang, Guang Liu

Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM

Codefuse, Ling Team, : +30

Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards

Xinyu Tang, Yuliang Zhan, Zhixun Li +5