Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from Large Language Models.
Puxuan YuDaniel CohenHemank LambaJoel R. TetreaultAlex JaimesPublished in: CoRR (2024)
Keyphrases
- language model
- natural language
- language modeling
- n gram
- document retrieval
- probabilistic model
- speech recognition
- retrieval model
- information retrieval
- context sensitive
- query expansion
- test collection
- smoothing methods
- statistical language models
- learning to rank
- natural language processing
- statistical measures
- language model for information retrieval
- language modelling
- pseudo relevance feedback
- vector space model
- machine learning
- query terms
- language processing
- relevance model
- document ranking
- document length
- ad hoc information retrieval
- probabilistic retrieval models
- query specific
- information extraction
- okapi bm
- language models for information retrieval
- naive bayes