QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation.
Krishna SrinivasanKarthik RamanAnupam SamantaLingrui LiaoLuca BertelliMichael BenderskyPublished in: EMNLP (Industry Track) (2022)
Keyphrases
- multistage
- language model
- retrieval model
- query intent
- document retrieval
- language modeling
- test collection
- query expansion
- language models for information retrieval
- information retrieval
- query terms
- document ranking
- query topic
- n gram
- relevance model
- multi faceted
- smoothing methods
- dynamic programming
- probabilistic model
- query specific
- passage retrieval
- retrieval effectiveness
- search result
- cross domain
- information retrieval systems
- pseudo relevance feedback
- relevance feedback
- retrieval systems
- optimal policy
- term frequency
- tf idf
- vector space model
- log data
- out of vocabulary
- federated search
- expert finding
- translation model
- retrieved documents
- image retrieval