Large language models surpass human experts in predicting neuroscience results.
Xiaoliang LuoAkilles RechardtGuangzhi SunKevin K. NejadFelipe YáñezBati YilmazKangjoo LeeAlexandra O. CohenValentina BorghesaniAnton PashkovDaniele MarinazzoJonathan NicholasAlessandro SalatielloIlia SucholutskyPasquale MinerviniSepehr RazaviRoberta RoccaElkhan YusifovTereza OkalovaNianlong GuMartin FeriancMikail KhonaKaustubh R. PatilPui-Shee LeeRui MataNicholas E. MyersJennifer K. BizleySebastian MusslickIsil Poyraz BilginGuiomar NisoJustin M. AlesMichael GaeblerN. Apurva Ratan MurtyLeyla Loued-KhenissiAnna BehlerChloe M. HallJessica DafflonSherry Dongqi BaoBradley C. LovePublished in: CoRR (2024)
Keyphrases
- human experts
- language model
- language modeling
- document retrieval
- probabilistic model
- n gram
- language modelling
- query expansion
- speech recognition
- retrieval model
- information retrieval
- post processing
- test collection
- domain experts
- context sensitive
- document ranking
- smoothing methods
- statistical language models
- classification rules
- vector space model
- language models for information retrieval
- pseudo relevance feedback
- artificial intelligence
- machine learning
- k nearest neighbor
- information retrieval systems
- active learning
- bayesian networks