Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.
Denny ZhouNathanael SchärliLe HouJason WeiNathan ScalesXuezhi WangDale SchuurmansOlivier BousquetQuoc LeEd H. ChiPublished in: CoRR (2022)
Keyphrases
- language model
- language modeling
- n gram
- document retrieval
- information retrieval
- language modelling
- probabilistic model
- test collection
- speech recognition
- query expansion
- retrieval model
- smoothing methods
- context sensitive
- ad hoc information retrieval
- statistical language models
- vector space model
- language model for information retrieval
- statistical language modeling
- spoken term detection
- word error rate
- term dependencies
- web documents
- language models for information retrieval
- co occurrence
- decision trees