PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback.
Bo ShenJiaxin ZhangTaihong ChenDaoguang ZanBing GengAn FuMuhan ZengAilun YuJichuan JiJingyang ZhaoYuenan GuoQianxiang WangPublished in: CoRR (2023)
Keyphrases
- language model
- document ranking
- ad hoc information retrieval
- language modeling
- smoothing methods
- document retrieval
- user feedback
- n gram
- query specific
- document length
- relevance model
- pseudo feedback
- test collection
- speech recognition
- ranking functions
- query expansion
- ranking algorithm
- probabilistic model
- retrieval model
- statistical language models
- information retrieval
- language modelling
- web search
- relevance feedback
- expert finding
- language models for information retrieval
- document level
- pseudo relevance feedback
- context sensitive
- learning to rank
- translation model
- expert search
- feature selection
- retrieved documents
- relevant documents
- passage retrieval
- vector space model
- evaluation measures
- text mining
- inter document similarities
- keywords