4 papers
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…
Beyond Benchmarks: LLM Evaluation with an Anthropomorphic and Lifecycle-oriented Roadmap
Jun Wang, Ninglun Gu, Kailai Zhang +9
Despite their rapid advancement, large language models (LLMs) suffer from a critical disconnect between benchmark scores and real-world utility. Current evaluation remains fragment…
TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks
Keyu Wu, Qianjin Yu, Manlin Mei +4
Root Cause Analysis (RCA) in telecommunication networks is a critical task, yet it presents a formidable challenge for Artificial Intelligence (AI) due to its complex, graph-based…
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…