5 papers
RepLLM: Toward Automatically Reproducing Network Research Results
Yining Jiang, Yunxin Xu, Wenyun Xu +14
Result reproduction of computer networking research is challenging as the scarcity of open-source implementations and the complexity of heterogeneous system architectures. Even tho…
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…
Unleashing the Power of Tree-of-Thoughts for Edge-Enabled AIGC Service Provisioning
Zhang Liu, Shanhao Zhan, Shaowei Shen +4
Delivering AI-generated content (AIGC) services fundamentally relies on the reasoning capabilities of generative AI (GenAI) models. Chain-of-Thought (CoT) enhances such reasoning b…
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…
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…