Prompt Engineering or Fine Tuning: An Empirical Assessment of Large Language Models in Automated Software Engineering Tasks.
Jiho ShinClark TangTahmineh MohatiMaleknaz NayebiSong WangHadi HemmatiPublished in: CoRR (2023)
Keyphrases
- language model
- fine tuning
- software engineering
- language modeling
- context sensitive
- n gram
- probabilistic model
- fine tuned
- artificial intelligence
- document retrieval
- information retrieval
- viable alternative
- speech recognition
- retrieval model
- language modelling
- query expansion
- test collection
- software development
- statistical language models
- fine tune
- language model for information retrieval
- language models for information retrieval
- ad hoc information retrieval
- smoothing methods
- object oriented
- relevance model
- query terms
- document ranking
- document length
- vector space model
- information retrieval systems
- translation model
- co occurrence
- machine learning
- pseudo relevance feedback
- word error rate
- okapi bm
- retrieval effectiveness