2 papers
cs.CL2025
Route-and-Reason: Scaling Large Language Model Reasoning with Reinforced Model Router
Chenyang Shao, Xinyang Liu, Yutang Lin +2
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 adva…
cs.CL2025
Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents
Chenyang Shao, Xinyuan Hu, Yutang Lin +1
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…