GLaM: Efficient Scaling of Language Models with Mixture-of-Experts.
Nan DuYanping HuangAndrew M. DaiSimon TongDmitry LepikhinYuanzhong XuMaxim KrikunYanqi ZhouAdams Wei YuOrhan FiratBarret ZophLiam FedusMaarten P. BosmaZongwei ZhouTao WangYu Emma WangKellie WebsterMarie PellatKevin RobinsonKathleen S. Meier-HellsternToju DukeLucas DixonKun ZhangQuoc V. LeYonghui WuZhifeng ChenClaire CuiPublished in: ICML (2022)
Keyphrases
- language model
- mixture model
- language modeling
- probabilistic model
- document retrieval
- n gram
- test collection
- retrieval model
- language model for information retrieval
- language modelling
- information retrieval
- query expansion
- speech recognition
- vector space model
- expert finding
- ad hoc information retrieval
- query terms
- context sensitive
- expectation maximization
- statistical language models
- document ranking
- smoothing methods
- clustering algorithm