QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation.
Krishna SrinivasanKarthik RamanAnupam SamantaLingrui LiaoLuca BertelliMike BenderskyPublished in: CoRR (2022)
Keyphrases
- relevant documents
- multistage
- language model
- test collection
- query expansion
- query intent
- information retrieval
- document retrieval
- retrieval model
- language modeling
- retrieval effectiveness
- document ranking
- query topic
- query terms
- retrieval systems
- pseudo relevance feedback
- average precision
- multi faceted
- information retrieval systems
- ranked list
- probabilistic model
- n gram
- relevance model
- dynamic programming
- search result
- query specific
- relevance assessments
- smoothing methods
- cross domain
- relevance feedback
- vector space model
- document collections
- ad hoc retrieval
- passage retrieval
- language models for information retrieval
- log data
- optimal policy
- term frequency
- tf idf
- user queries
- cross language information retrieval
- out of vocabulary
- bayesian networks