3 citations · 5 across the 16 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.LG2025
CLEANet: Robust and Efficient Anomaly Detection in Contaminated Multivariate Time Series
Songhan Zhang, Yuanhao Lai, Pengfei Zheng +4
Multivariate time series (MTS) anomaly detection is essential for maintaining the reliability of industrial systems, yet real-world deployment is hindered by two critical challenge…
cs.SE2025
UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench
Boxi Yu, Yuxuan Zhu, Pinjia He +1
The advent of Large Language Models (LLMs) has spurred the development of coding agents for real-world code generation. As a widely used benchmark for evaluating the code generatio…
cs.SE2025
Code Benchmarks Should Prioritize Rigor, Reliability, and Reproducibility
Jialun Cao, Yuk-Kit Chan, Zixuan Ling +12
Code-related benchmarks play a critical role in evaluating large language models (LLMs), yet their quality fundamentally shapes how the community interprets model capabilities. In…