Author

Zhenyu Lu

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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

Preprint Aug 2026

Balancing Efficiency and Efficacy: Training-Free Attention-Guided Switching Between Explicit and Latent Thoughts for MLLMs

A novel training-free inference strategy for MLLMs that explicitly decouples perception and reasoning is presented, and a novel metric, the vision-to-text attention ratio, is proposed, to dynamically gauge the model's cognitive focus.

Haoqiang Kang, Liupeng Li, Kuo-Feng Gao et al. · 0 citations