Question

Description acceptable. Over 100 implementations of a strategy for this task are surveyed in a 2024 paper by Gao et al. that categorizes them as Naive, Advanced, or Modular. Novel embeddings of query-specific documents are indexed and used in the “retrieval-augmented” form of this task. (10[4])This (10[1])task is performed (10[1])by applying Brownian noise to points in a latent space (10[1])and then decoding (10[1])in diffusion models. A game-theoretic (10[1]-5[1])agent improves at this task while competing against a discriminator in a type of “adversarial” neural (10[1]-5[1])network. (10[2]-5[1])This task (10[1])names a framework consisting of unsupervised “pre-training” followed (-5[1])by supervised (-5[1])“fine-tuning.” (-5[1])Nonsensical outputs during this (10[1])task are called “hallucinations.” (10[4]-5[1])For 10 points, what (10[1])task (10[1])names a form of AI commonly (-5[1])used to produce text and images (10[2])that is (10[1])the “G” (10[2])in GPT? (10[1])■END■ (10[7])

ANSWER: generation [or word forms such as generate; accept text generation or image generation; accept generative artificial intelligence or generative AI or generative pre-trained transformer or generative adversarial network or retrieval-augmented generation; accept descriptions such as computer-produced text or equivalents]
<Johns Hopkins, Other Science>
= Average correct buzz position

Summary

California2025-02-01Y3100%0%33%99.00
Lower Mid-Atlantic2025-02-01Y6100%0%33%114.33
Midwest2025-02-01Y6100%0%33%93.67
Northeast2025-02-01Y5100%0%20%95.60
Pacific Northwest2025-02-01Y2100%0%50%116.00
South Central2025-02-01Y2100%0%0%44.00
Southeast2025-02-01Y1100%0%100%128.00
Upper Mid-Atlantic2025-02-01Y8100%0%0%85.88

Buzzes

PlayerTeamOpponentBuzz PositionValue
Eve FleisigUC Berkeley AUCLA4410
Liam StarnesChicago BIndiana B4410
Stefan Stealey-EuchnerASUTexas B4410
Karan GurazadaTexas ATAMU4410
Coby TranChicago CWashU A4510
Vinayak Singh BhadoriyaNYU BRutgers A4810
Jerry VinokurovJohn Jay CollegeMaryland B5810
Jonathan HuangMIT ABrandeis B6110
Alan FanUW BAlberta66-5
Derek ChenColumbia CVassar A6610
Anuttam RamjiUC Berkeley BClaremont B82-5
Ryan RosenbergNYU AGeorge Washington B8210
Braeden LaRocheSouth CarolinaWake Forest83-5
Arjun NageswaranHarvard ABU8310
Danny HanPenn AHaverford B8310
Max NealHarvard BBrown A8510
John ChaTufts AUMass Boston93-5
Jiping FangIllinois CIllinois B95-5
Rohan DalalGeorgia Tech CBruin A96-5
Miller DoerrLiberty BLiberty A10010
Rasheeq AzadUNC BUNC C10410
Joseph ChambersVirginia AVirginia Tech A10410
Drew ScheinerMissouriIndiana A104-5
Matthew WangUBCUW A10410
Isaac MammelMaryland APenn B10410
Ned TagtmeierChicago AMissoui S&T10810
Neal JoshiWashU BChicago D10910
Chris YooWilliam & MaryLiberty C115-5
Jake MarkusDartmouth ABrandeis A12110
Avery BarnettHaverford AYale A12110
Ivan StanisavljevicDukeUNC D12310
Nolan DannelsUCSDClaremont A12510
Nathan ZhangCornell BGeorge Washington A12510
Johanna BryantLiberty CWilliam & Mary12710
Aidan DeshongClaremont BUC Berkeley B12810
Sachin PoobalasinghamWake ForestSouth Carolina12810
Yash MandaviaIllinois BIllinois C12810
Alex AkridgeIndiana AMissouri12810
Khugan ChanUMass BostonTufts A12810
Bennett GrapponeAlbertaUW B12810
Jack LewisBruin AGeorgia Tech C12810