Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models.
Scott BarnettZach BrannellyStefanus KurniawanSheng WongPublished in: CoRR (2024)
Keyphrases
- language model
- fine tuning
- language modeling
- n gram
- viable alternative
- probabilistic model
- fine tune
- document retrieval
- information retrieval
- language modelling
- retrieval model
- speech recognition
- query expansion
- context sensitive
- vector space model
- statistical language models
- fine tuned
- pseudo relevance feedback
- word error rate
- language model for information retrieval
- document ranking
- translation model
- query terms
- test collection
- term dependencies
- relevance model
- decision trees
- clustering algorithm