Measuring Progress on Scalable Oversight for Large Language Models.
Samuel R. BowmanJeeyoon HyunEthan PerezEdwin ChenCraig PettitScott HeinerKamile LukosuiteAmanda AskellAndy JonesAnna ChenAnna GoldieAzalia MirhoseiniCameron McKinnonChristopher OlahDaniela AmodeiDario AmodeiDawn DrainDustin LiEli Tran-JohnsonJackson KernionJamie KerrJared MuellerJeffrey LadishJoshua LandauKamal NdousseLiane LovittNelson ElhageNicholas SchieferNicholas JosephNoemí MercadoNova DasSarmaRobin LarsonSam McCandlishSandipan KunduScott JohnstonShauna KravecSheer El ShowkStanislav FortTimothy Telleen-LawtonTom BrownTom HenighanTristan HumeYuntao BaiZac Hatfield-DoddsBen MannJared KaplanPublished in: CoRR (2022)
Keyphrases
- language model
- language modeling
- n gram
- probabilistic model
- retrieval model
- statistical language models
- speech recognition
- information retrieval
- language modelling
- query expansion
- test collection
- document retrieval
- context sensitive
- relevance model
- translation model
- vector space model
- ad hoc information retrieval
- query terms
- language models for information retrieval
- smoothing methods
- pseudo relevance feedback
- word error rate
- document ranking