Author

Jingren Zhou

3 papers indexed here

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#artificial intelligence Feb 2026

SWE-Universe: Scale Real-World Verifiable Environments to Millions

SWE-Universe, a scalable and efficient framework for automatically constructing real-world software engineering (SWE) verifiable environments from GitHub pull requests (PRs), utilizes a building agent powered by an efficient custom-trained model to ensure the reliable generation of high-fidelity, verifiable tasks.

Mouxiang Chen, Lei Zhang, Yunlong Feng et al. · arXiv.org · 14 citations · ⚡1

#artificial intelligence Jun 2026

Connect the Dots: Training LLMs for Long-Lifecycle Agents with Cross-Domain Generalization Via Reinforcement Learning

This work presents a general framework for training large language models (LLMs) to "Connect the Dots", a meta-capability required by long-lifecycle agents, and presents proof-of-concept implementations of the CoD framework, including a GRPO-style RL algorithm with fine-grained credit assignment.

Yan-Xi Chen, Wei-Jie Shi, Bo Hu et al. · arXiv.org · 0 citations

Jul 2026

Libra: Taming Attention Workload Skew in Long-Context LLM Training with Bounded Sequence Pool

Libra is presented, which operationalizes the law of large numbers (LLN) as a scaling principle for load balancing: the attention-balancing pool need not grow with the DP degree.

Yan Wang, Xiu-Long Yuan, Kaiming Yang et al. · arXiv.org · 1 citation