4 papers
The Quality-Utility Paradox: Why High-Reward Data Impairs Small Model Mathematical Reasoning
Haolong Qian, Xianliang Yang, Yinuo ma +6
Knowledge distillation from powerful reasoning models is widely used to improve Small Language Models (SLMs) on mathematical reasoning, often assuming that traces with higher rewar…
DemoEvolve: Overcoming Sparse Feedback in Agentic Harness Evolution with Demonstrations
Lirong Che, Yuzhe yang, Peiwen lin +3
Agent harness evolution improves frozen language-model agents by modifying the executable structures around them. We study this paradigm as a form of sample-efficient fast adaptati…
PhotoAgent: A Robotic Photographer with Spatial and Aesthetic Understanding
Lirong Che, Zhenfeng Gan, Yanbo Chen +2
Embodied agents for creative tasks like photography must bridge the semantic gap between high-level language commands and geometric control. We introduce PhotoAgent, an agent that…
MANSION: Multi-floor lANguage-to-3D Scene generatIOn for loNg-horizon tasks
Lirong Che, Shuo Wen, Shan Huang +5
Real-world robotic tasks are long-horizon and often span multiple floors, demanding rich spatial reasoning. However, existing embodied benchmarks are largely confined to single-flo…