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.CL2025
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…