2 papers
cs.LG2025
Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation
Yihang Wang, Chris Chi, Aaron R. Dinner
Normalizing flows (NFs) provide uncorrelated samples from complex distributions, making them an appealing tool for parameter estimation. However, the practical utility of NFs remai…
cs.AI2024
DELIA: Diversity-Enhanced Learning for Instruction Adaptation in Large Language Models
Yuanhao Zeng, Fei Ren, Xinpeng Zhou +2
Although instruction tuning is widely used to adjust behavior in Large Language Models (LLMs), extensive empirical evidence and research indicates that it is primarily a process wh…