3 papers
cs.LG2026
Beyond Scaling Law: A Data-Efficient Distillation Framework for Reasoning
Xiaojun Wu, Xiaoguang Jiang, Huiyang Li +11
Large language models (LLMs) demonstrate remarkable reasoning capabilities in tasks such as algorithmic coding and mathematical problem-solving. Recent methods have improved reason…
cs.AI2025
Beyond Benchmark: LLMs Evaluation with an Anthropomorphic and Value-oriented Roadmap
Jun Wang, Ninglun Gu, Kailai Zhang +9
For Large Language Models (LLMs), a disconnect persists between benchmark performance and real-world utility. Current evaluation frameworks remain fragmented, prioritizing technica…
cs.CV2025
Superpixel-Based Building Damage Detection from Post-earthquake Imagery Using Deep Neural Networks
Jun Wang
Building damage detection after natural disasters like earthquakes is crucial for initiating effective emergency response actions. Remotely sensed very high spatial resolution (VHR…