3 papers
cs.IR2026
LLM-as-a-Judge for Reliable and Explainable Offline Evaluation in Top-K Recommendation
Yue Que, Junyi Zhou, Xiaokun Zhang +3
Recommendation evaluation plays a crucial role in guiding the refinement and deployment of recommender systems. Most existing trials rely on offline evaluation using Top-K metrics…
cs.NI2026
Innovation Discovery System for Networking Research
Mengrui Zhang, Bang Huang, Yunxin Xu +7
As networking systems become increasingly complex, achieving disruptive innovation grows more challenging. At the same time, recent progress in Large Language Models (LLMs) has sho…
cs.NI2025
Janus: Leveraging Incremental Computation for Efficient DNS Verification
Yao Wang, Kexin Yu, Wenyun Xu +11
Existing DNS configuration verification tools face significant issues (e.g., inefficient and lacking support for incremental verification). Inspired by the advancements in recent w…