Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.
Zhen QinRolf JagermanKai HuiHonglei ZhuangJunru WuJiaming ShenTianqi LiuJialu LiuDonald MetzlerXuanhui WangMichael BenderskyPublished in: CoRR (2023)
Keyphrases
- language model
- pairwise
- document ranking
- information retrieval
- language modeling
- smoothing methods
- n gram
- ad hoc information retrieval
- learning to rank
- document retrieval
- document level
- probabilistic model
- language modelling
- query expansion
- relevance model
- speech recognition
- document length
- retrieval model
- text retrieval
- statistical language models
- context sensitive
- improve retrieval effectiveness
- query specific
- test collection
- text mining
- vector space model
- spoken term detection
- multiword
- pseudo relevance feedback
- query terms
- information extraction
- retrieved documents
- ranking functions
- loss function
- similarity measure
- language models for information retrieval
- search engine