Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification.
Ekaterina FadeevaAleksandr RubashevskiiArtem ShelmanovSergey PetrakovHaonan LiHamdy MubarakEvgenii TsymbalovGleb KuzminAlexander PanchenkoTimothy BaldwinPreslav NakovMaxim PanovPublished in: CoRR (2024)
Keyphrases
- language model
- language modeling
- document retrieval
- language modelling
- n gram
- information retrieval
- probabilistic model
- speech recognition
- retrieval model
- document level
- context sensitive
- statistical language models
- test collection
- query expansion
- smoothing methods
- relevance model
- language models for information retrieval
- language model for information retrieval
- vector space model
- uncertain data
- ad hoc information retrieval
- passage retrieval
- keywords