Enabling Large Language Models to Think Twice When Its Answer Is Unreliable: A Case Study In Cancer Screening.
Minchong WuHongxiang LinXiaoqing LyuChenrui ZhangSun YuPublished in: BIBM (2023)
Keyphrases
- language model
- cervical cancer
- language modeling
- n gram
- probabilistic model
- document retrieval
- speech recognition
- retrieval model
- test collection
- language modelling
- information retrieval
- breast cancer
- query expansion
- drug discovery
- statistical language models
- language model for information retrieval
- document ranking
- vector space model
- context sensitive
- ad hoc information retrieval
- pseudo relevance feedback
- smoothing methods
- query terms
- passage retrieval
- language models for information retrieval
- relevance model
- translation model
- query specific
- text classification
- information retrieval systems