Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models.
Sheng ShenLe HouYanqi ZhouNan DuShayne LongpreJason WeiHyung Won ChungBarret ZophWilliam FedusXinyun ChenTu VuYuexin WuWuyang ChenAlbert WebsonYunxuan LiVincent Y. ZhaoHongkun YuKurt KeutzerTrevor DarrellDenny ZhouPublished in: ICLR (2024)
Keyphrases
- language model
- mixture model
- language modeling
- n gram
- document retrieval
- speech recognition
- probabilistic model
- information retrieval
- query expansion
- language modelling
- expert finding
- context sensitive
- statistical language models
- retrieval model
- language models for information retrieval
- smoothing methods
- ad hoc information retrieval
- language model for information retrieval
- document ranking
- vector space model
- query terms
- test collection
- relevance model
- multimedia
- translation model
- cross lingual
- retrieval effectiveness
- query specific
- information extraction
- active learning
- statistical language modeling
- search engine