Author

Run-Qiu Yang

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#machine learning Preprint Oct 2026

LoongSage: A Production-Grade, High-Efficiency Agentic RL Framework for Frontier LLMs with Validated Recipes

Reinforcement learning (RL) has emerged as a critical phase in the post-training pipeline of large language models (LLMs). As the frontier of LLM capabilities shifts from static reasoning to agentic tasks--characterized by external tool invocation, multi-turn interactions, and long-horizon decision-making--existing mai...

LoongSage Team Bowei Song, Cai-Wei Zhao, Chu-Wen Liu et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Compact Robot Policies Need Fine-Grained Visual Representations

Multi-task manipulation policies differ in architecture, scale, and pretrained priors all at once, so published comparisons cannot attribute performance to any single component. We argue that most of it comes from the visual representation, and that parameter scale and generative priors are largely incidental. To test...

Na Chen, Run-Qiu Yang, Jia-Wei Tang et al. · 0 citations