3 papers
cs.AR2026
BigPower: Hierarchical Source-Level Module Power Estimation for CPUs with Large Language Models
Honghua Zhu, Chunjie Luo, Jianfeng Zhan
Accurate power estimation is important for understanding and optimizing CPU power behavior, yet practical workflows often rely on simulation-derived information or post-silicon ana…
cs.AI2025
DualSG: A Dual-Stream Explicit Semantic-Guided Multivariate Time Series Forecasting Framework
Kuiye Ding, Fanda Fan, Yao Wang +6
Multivariate Time Series Forecasting plays a key role in many applications. Recent works have explored using Large Language Models for MTSF to take advantage of their reasoning abi…
cs.DL2025
Quantifying the Dynamics of Harm Caused by Retracted Research
Yunyou Huang, Jiahui Zhao, Dandan Cui +10
Despite enormous efforts devoted to understand the characteristics and impacts of retracted papers, little is known about the mechanisms underlying the dynamics of their harm and t…