3 papers
cs.LG2026
Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks
Sunil Kumar Maurya, Xin Liu
With the rapidly improving reasoning abilities of Large Language Models (LLMs), there is also a rising demand to use them in a wide variety of domains. This brings about the need t…
cs.LG2026
Hypergraph and Latent ODE Learning for Multimodal Root Cause Localization in Microservices
Xin Liu, Yuhang He, Sichen Zhao +2
Root cause localization in cloud native microservice systems requires modeling complex service dependencies, irregular temporal dynamics, and heterogeneous observability data. We p…
cs.CL2023
Predicting Emergent Abilities with Infinite Resolution Evaluation
Shengding Hu, Xin Liu, Xu Han +9
The scientific scale-up of large language models (LLMs) necessitates a comprehensive understanding of their scaling properties. However, the existing literature on the scaling prop…