Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models.
Qi LiuBo WangNan WangJiaxin MaoPublished in: CoRR (2024)
Keyphrases
- language model
- document retrieval
- pairwise
- learning to rank
- language modeling
- ranking functions
- loss function
- n gram
- test collection
- language modelling
- probabilistic model
- information retrieval
- query expansion
- statistical language models
- passage retrieval
- pseudo relevance feedback
- ranking algorithm
- vector space model
- smoothing methods
- relevance model
- multimedia
- image search
- query terms
- retrieval model
- vector space
- document collections
- high dimensional
- language models for information retrieval