3 papers
cs.CL2026
From Synthetic to Native: Benchmarking Multilingual Intent Classification in Logistics Customer Service
Haoyu He, Jinyu Zhuang, Haoran Chu +5
Multilingual intent classification is central to customer-service systems on global logistics platforms, where models must process noisy user queries across languages and hierarchi…
cs.LG2025
An Empirical Study of Qwen3 Quantization
Xingyu Zheng, Yuye Li, Haoran Chu +7
The Qwen series has emerged as a leading family of open-source Large Language Models (LLMs), demonstrating remarkable capabilities in natural language understanding tasks. With the…
cs.LG2024
Towards Convexity in Anomaly Detection: A New Formulation of SSLM with Unique Optimal Solutions
Hongying Liu, Hao Wang, Haoran Chu +1
An unsolved issue in widely used methods such as Support Vector Data Description (SVDD) and Small Sphere and Large Margin SVM (SSLM) for anomaly detection is their nonconvexity, wh…