LoRA: Low-Rank Adaptation of Large Language Models.
Edward J. HuYelong ShenPhillip WallisZeyuan Allen-ZhuYuanzhi LiShean WangWeizhu ChenPublished in: CoRR (2021)
Keyphrases
- language model
- low rank
- agent technology
- language modeling
- matrix factorization
- convex optimization
- missing data
- low rank matrix
- linear combination
- n gram
- probabilistic model
- document retrieval
- rank minimization
- semi supervised
- information retrieval
- matrix completion
- retrieval model
- high order
- singular value decomposition
- high dimensional data
- test collection
- query expansion
- smoothing methods
- relevance model
- software agents
- machine learning
- trace norm
- learning algorithm
- language models for information retrieval
- vector space model
- small number
- decision trees
- query terms
- principal component analysis
- search engine