Kediska Go'aaminta Khatarta Bayes ee ugu yar

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Muxuu MBR kood ka doortaa halkii uu ka dooran lahaa taxanaha keliya ee suurtogalka ah?
   • Musharaxa leh tasiilaadka ugu sarreeya ee la filayo marka loo eego natiijooyinka kale ee suurtogalka ah
   • Taxanaha ugu gaaban
   • Muunad random
   • Taxanaha ugu dheer
2. Mar haddii tixraacyada runta ah aan la heli karin, muxuu MBR u adeegsadaa tixraac been abuur ah?
   • Korpus dibadda ah oo go'an
   • Barkadda muunada musharraxiinta laftooda ayaa soo saara
   • Tilmaamaha aadanaha
   • Dejinta tababarka
3. Waa maxay sababta naive MBR xisaab ahaan qaali u yahay?
   • Waxay u baahan tahay in dib loo tababaro qaabka
   • Waxay u baahan tahay eray bixin weyn
   • Isbarbardhigga laba-geesoodka ah ee musharraxiinta N waa wicitaannada mitirka ah ee O(N).
   • Wax GPU ah ma isticmaalo
4. What has COMET been used for in minimum Bayes risk machine-translation experiments?
   • As a universal guarantee of better translation quality
   • As a tokenizer for the candidate pool
   • As an exact reference translation available at inference
   • As a learned utility metric in evaluated translation settings
5. Is-waafajinta caqliga waxay la xiriirtaa MBR sababtoo ah:
   • Tusaalooyinka silsilado badan oo doorta jawaabta ugu badan ee lagu heshiiyo
   • Had iyo jeer qaata jawaabta ugu horraysa ee muunadaysan
   • Waxay isticmaashaa raadinta beam gudaha gudaha
   • Way iska indhatirtay qaybinta moodeelka
6. How is risk generally expressed in minimum Bayes risk decision-making?
   • Always one minus a normalized similarity score
   • Expected loss under a chosen loss function and reference distribution
   • The model’s parameter count divided by accuracy
   • The number of candidates sampled
7. If the chosen utility metric disagrees with human judgments, what will MBR primarily optimize?
   • Human preference automatically overrides the metric
   • The model’s raw next-token likelihood
   • The expected utility under that selected metric
   • The shortest candidate in the pool
8. If a high-quality answer is missing from the sampled candidate pool, what can MBR do?
   • It guarantees the missing answer is generated
   • It changes the model weights to add the answer
   • It replaces the utility metric with a human reference
   • It can only select or rerank candidates that are in the pool