"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models.
Michael Xieyang LiuAdvait SarkarCarina NegreanuBenjamin G. ZornJack WilliamsNeil TorontoAndrew D. GordonPublished in: CHI (2023)
Keyphrases
- end users
- language model
- source code
- language modeling
- document retrieval
- n gram
- probabilistic model
- speech recognition
- information retrieval
- query expansion
- statistical language models
- user requirements
- language modelling
- test collection
- retrieval model
- context sensitive
- web applications
- user interface
- business intelligence
- ad hoc information retrieval
- smoothing methods
- document ranking
- pseudo relevance feedback
- relevance model
- application development
- software engineering
- user experience
- query terms
- user driven
- high level
- language models for information retrieval
- translation model
- hidden markov models
- web documents
- automatic speech recognition
- retrieval effectiveness
- query specific
- artificial intelligence
- machine learning