AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks.
Alexander TornedeDifan DengTheresa EimerJoseph GiovanelliAditya MohanTim RuhkopfSarah SegelDaphne TheodorakopoulosTanja TornedeHenning WachsmuthMarius LindauerPublished in: Trans. Mach. Learn. Res. (2024)
Keyphrases
- language model
- current challenges
- future directions
- language modeling
- n gram
- document retrieval
- utmost importance
- speech recognition
- language modelling
- query expansion
- probabilistic model
- information retrieval
- statistical language models
- retrieval model
- test collection
- ad hoc information retrieval
- vector space model
- translation model
- document length
- okapi bm
- pseudo relevance feedback
- machine learning
- smoothing methods
- relevance model
- lessons learned
- query terms
- term dependencies
- document ranking
- information technology
- computer science
- artificial intelligence
- databases
- language models for information retrieval
- language model for information retrieval