5 papers · 1 filter
AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery
Yu Li, Chenyang Shao, Xinyang Liu +13
Artificial intelligence research increasingly depends on prolonged cycles of reproduction, debugging, and iterative refinement to achieve State-Of-The-Art (SOTA) performance, creat…
Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for Reasoning
Chenyang Shao, Sijian Ren, Fengli Xu +1
In recent years, large language models (LLMs) have witnessed remarkable advancements, with the test-time scaling law consistently enhancing the reasoning capabilities. Through syst…
AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text
Chenyang Shao, Tianxing Li, Chenhao Pu +2
In today's digital world, casual user-generated content often contains subtle cues that may inadvertently expose sensitive personal attributes. Such risks underscore the growing im…
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…
LIMP: Large Language Model Enhanced Intent-aware Mobility Prediction
Songwei Li, Jie Feng, Jiawei Chi +3
Human mobility prediction is essential for applications like urban planning and transportation management, yet it remains challenging due to the complex, often implicit, intentions…