Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning.
Nick MecklenburgYiyou LinXiaoxiao LiDaniel HolsteinLeonardo O. NunesSara MalvarBruno SilvaRanveer ChandraVijay AskiPavan Kumar Reddy YannamTolga AktasTodd HendryPublished in: CoRR (2024)
Keyphrases
- language model
- fine tuning
- language modeling
- n gram
- document retrieval
- speech recognition
- probabilistic model
- information retrieval
- query expansion
- knowledge discovery
- test collection
- retrieval model
- language modelling
- viable alternative
- statistical language models
- machine learning
- fine tune
- ad hoc information retrieval
- smoothing methods
- language models for information retrieval
- document ranking
- vector space model
- pseudo relevance feedback
- term dependencies
- fine tuned
- query terms
- semi supervised
- hidden markov models
- decision trees