3 papers
cs.CL2026
Balancing Understanding and Generation in Discrete Diffusion Models
Yue Liu, Yuzhong Zhao, Zheyong Xie +5
In discrete generative modeling, two dominant paradigms demonstrate divergent capabilities: Masked Diffusion Language Models (MDLM) excel at semantic understanding and zero-shot ge…
cs.CL2026
EComStage: Stage-wise and Orientation-specific Benchmarking for Large Language Models in E-commerce
Kaiyan Zhao, Zijie Meng, Zheyong Xie +4
Large Language Model (LLM)-based agents are increasingly deployed in e-commerce applications to assist customer services in tasks such as product inquiries, recommendations, and or…
cs.AI2025
RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking Services
Fei Zhao, Chonggang Lu, Haofu Qian +9
As a key medium for human interaction and information exchange, social networking services (SNS) pose unique challenges for large language models (LLMs): heterogeneous workloads, f…