Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models.
Boxin WangWei PingChaowei XiaoPeng XuMostofa PatwaryMohammad ShoeybiBo LiAnima AnandkumarBryan CatanzaroPublished in: NeurIPS (2022)
Keyphrases
- language model
- language modeling
- n gram
- statistical language models
- probabilistic model
- language modelling
- document retrieval
- speech recognition
- test collection
- information retrieval
- language models for information retrieval
- query expansion
- retrieval model
- training set
- smoothing methods
- context sensitive
- relevance model
- document ranking
- query terms
- hidden markov models
- language model for information retrieval
- pseudo relevance feedback
- term dependencies
- vector space model