Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing.
Le YanZhen QinHonglei ZhuangRolf JagermanXuanhui WangMichael BenderskyHarrie OosterhuisPublished in: CoRR (2024)
Keyphrases
- post processing
- language model
- document ranking
- relevance model
- language modeling
- document retrieval
- information retrieval
- test collection
- document length
- ad hoc information retrieval
- smoothing methods
- query expansion
- retrieved documents
- preprocessing
- language modelling
- n gram
- retrieval model
- ranked list
- probabilistic model
- query terms
- pseudo relevance feedback
- okapi bm
- statistical language modeling
- learning to rank
- query specific
- ranking algorithm
- inter document similarities
- pseudo feedback
- machine learning
- expert search
- language models for information retrieval
- relevance scores
- relevance feedback
- retrieval effectiveness
- query topic
- ranking functions
- human experts
- statistical language models
- relevant documents
- expert finding
- document relevance
- vector space model
- post processed
- data mining
- data mining techniques
- document collections
- relevance assessments
- data mining process