Rongqing Li

Preprint Aug 2026

Beyond Forgetting: Diagnosing and Harnessing Shared Reasoning in Continual RLVR

Reinforcement learning with verifiable rewards (RLVR) commonly post-trains reasoning models on multiple tasks, while rerunning multitask RLVR (MTRL) as new tasks are added makes capability expansion costly. We therefore study continual RLVR, which updates the existing model as each task arrives. The central question is...

Li-Rui Luo, Guo-Xi Zhang, Hong-Ming Xu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Coding Agent Memory Post-training: Unlocking the Memory Potential of Pre-trained File Operations for Long-Horizon Tasks via Reinforcement Learning

Language-model agents increasingly tackle long-horizon tasks whose interaction histories exceed the model's active context. Recent work has begun to use reinforcement learning to make memory control part of the policy, often relying on predefined memory tools within domain-specific training environments of relatively s...

Li-Rui Luo, Ke-Long Mao, He-Ming Xia et al. · 0 citations

#machine learning Preprint Aug 2026

Continual Reasoning Gym: Diagnosing and Harnessing Shared Reasoning in Continual RLVR

Reinforcement learning with verifiable rewards (RLVR) commonly post-trains reasoning models on multiple tasks, while rerunning multitask RLVR (MTRL) as new tasks are added makes capability expansion costly. We therefore study continual RLVR, which updates the existing model as each task arrives. The central question is...

Lirui Luo, Guo-Xi Zhang, Hong-Ming Xu et al. · 0 citations