Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses.
Aysa Xuemo FanHaoran ZhangLuc PaquetteRui ZhangPublished in: EMNLP (Findings) (2023)
Keyphrases
- language model
- language modeling
- n gram
- language modelling
- probabilistic model
- introductory programming courses
- document retrieval
- statistical language models
- speech recognition
- information retrieval
- retrieval model
- test collection
- query expansion
- query terms
- pseudo relevance feedback
- context sensitive
- vector space model
- source code
- document ranking
- ad hoc information retrieval
- smoothing methods
- answer questions
- relevance model
- software systems
- image retrieval
- computer science
- search engine