Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.
Denny ZhouNathanael SchärliLe HouJason WeiNathan ScalesXuezhi WangDale SchuurmansClaire CuiOlivier BousquetQuoc V. LeEd H. ChiPublished in: ICLR (2023)
Keyphrases
- language model
- language modeling
- n gram
- probabilistic model
- speech recognition
- document retrieval
- test collection
- language modelling
- information retrieval
- query expansion
- statistical language models
- context sensitive
- smoothing methods
- translation model
- retrieval model
- ad hoc information retrieval
- language models for information retrieval
- pseudo relevance feedback
- relevance model
- query terms
- machine learning
- document ranking
- query specific