Fine-Tuning Optimization of Small Language Models: A Novel Graph-Theoretical Approach for Efficient Prompt Engineering.
Venkata GadirajuHao-Yu TsaiHsiao-Chun WuManali SinghaScott Chih-Hao HuangGuannan LiuShih Yu ChangYiyan WuPublished in: BMSB (2024)
Keyphrases
- fine tuning
- language model
- graph theoretical
- language modeling
- n gram
- probabilistic model
- viable alternative
- document retrieval
- information retrieval
- test collection
- statistical language models
- speech recognition
- fine tuned
- context sensitive
- language modelling
- query expansion
- graph theory
- vector space model
- ad hoc information retrieval
- combinatorial optimization
- translation model
- optimization problems
- smoothing methods
- simulated annealing
- image retrieval
- feature selection