Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback.
Yujia ZhouZhicheng DouJi-Rong WenPublished in: EMNLP (2023)
Keyphrases
- relevance feedback
- reinforcement learning
- image retrieval
- document retrieval
- retrieval model
- information retrieval systems
- retrieval accuracy
- retrieval framework
- query expansion
- retrieval precision
- user feedback
- retrieval process
- image search
- image retrieval systems
- information retrieval
- cbir systems
- function approximation
- state space
- low level features
- exploration exploitation tradeoff
- retrieved documents
- relevant documents
- generative model
- language model
- learning algorithm
- efficient retrieval
- retrieval effectiveness
- retrieval method
- text retrieval
- retrieval systems
- test collection
- vector space model
- content based retrieval
- query refinement
- image representation
- unsupervised learning
- supervised learning
- web retrieval
- multi agent
- sparck jones