ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization.
Yunxiao ShiXing ZiZijing ShiHaimin ZhangQiang WuMin XuPublished in: CoRR (2024)
Keyphrases
- language model
- improved accuracy
- retrieval model
- document retrieval
- query expansion
- test collection
- language modeling
- language models for information retrieval
- ad hoc information retrieval
- information retrieval
- statistical language models
- smoothing methods
- document ranking
- document length
- query terms
- n gram
- probabilistic model
- cross language retrieval
- speech recognition
- relevance model
- language modelling
- query specific
- passage retrieval
- context sensitive
- retrieval effectiveness
- pseudo relevance feedback
- text retrieval
- prediction accuracy
- term dependencies
- vector space model
- statistical language modeling
- document level
- retrieval systems
- okapi bm
- image database
- pseudo feedback
- translation model
- retrieval process
- ir models
- average precision
- term weighting
- retrieval accuracy
- relevant documents
- document collections
- recommender systems
- spoken term detection
- probabilistic retrieval models
- out of vocabulary
- expert finding
- search tasks
- term frequency
- tf idf
- text mining