2 papers
cs.SE2026
Characterizing the Failure Modes of LLMs in Resolving Real-World GitHub Issues
Yanjie Jiang, Yian Huang, Guancheng Wang +3
Large Language Models (LLMs) are increasingly deployed to resolve real-world GitHub issues. However, despite their potential, the specific failure modes of these models in complex…
stat.ME2025
Randomized Quasi-Monte Carlo Features for Kernel Approximation
Yian Huang, Zhen Huang
We investigate the application of randomized quasi-Monte Carlo (RQMC) methods in random feature approximations for kernel-based learning. Compared to the classical Monte Carlo (MC)…