ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval.
Soyoung YoonEunbi ChoiJiyeon KimHyeongu YunYireun KimSeung-won HwangPublished in: ACL (1) (2024)
Keyphrases
- learning to rank
- pairwise
- query dependent
- loss function
- ranking functions
- information retrieval
- ranking algorithm
- document retrieval
- test collection
- video search
- image database
- retrieval systems
- relevance feedback
- evaluation measures
- image retrieval
- learning to rank algorithms
- information retrieval systems
- query expansion
- web search
- image search
- retrieval process
- multimedia retrieval
- multiple imputation
- machine learning
- visual features
- content based retrieval
- user feedback
- text retrieval
- ranking svm
- supervised learning
- database
- maximal marginal relevance
- balancing exploration and exploitation