Chenyang Shao

Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents

2025 · arXiv (Cornell University)

The rapid expansion of web content has made on-device AI assistants indispensable for helping users manage the increasing complexity of online tasks. The emergent reasoning ability in large language models offer a promising path for …

Route-and-Reason: Scaling Large Language Model Reasoning with Reinforced Model Router

2025 · arXiv (Cornell University)

Chain-of-thought has been proven essential for enhancing the complex reasoning abilities of Large Language Models (LLMs), but it also leads to high computational costs. Recent advances have explored the method to route queries among multiple …