2 papers
cs.CL2026
LLM-Driven Multi-Turn Task-Oriented Dialogue Synthesis for Realistic Reasoning
Yu Zhu, Kai Yang
The reasoning capability of large language models (LLMs), defined as their ability to analyze, infer, and make decisions based on input information, is essential for building intel…
cs.LG2025
Argus: Federated Non-convex Bilevel Learning over 6G Space-Air-Ground Integrated Network
Ya Liu, Kai Yang, Yu Zhu +2
The space-air-ground integrated network (SAGIN) has recently emerged as a core element in the 6G networks. However, traditional centralized and synchronous optimization algorithms…