Kedis ku xidhan hagaha · Dhexdhexaad Heerka
Kediska Jawaabta Su'aasha
Dib u eeg QA-ga wax-soosaarka iyo wax-soo-saarka, caddaynta dibadda, dib-u-dejinta soo-celinta, xuduudaha jawaabta, ka-hortagga, qiimaynta isku-dhafka ah, iyo imtixaannada qeexidda.
Su'aal 1 ee 8
Muxuu qabtaa nidaamka ka jawaabista su'aalaha soo saarista?
Horudhac su'aal kasta8 su'aalo
Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.
- Muxuu qabtaa nidaamka ka jawaabista su'aalaha soo saarista?
- Wuxuu doortaa dhererka saxda ah ee qoraalka tuduc ka jawaabaya su'aasha
- Wuxuu erayadiisa ku qoraa jawaab cusub
- Wuxuu u turjumayaa su'aasha luqad kale
- Ku qiimee boggaga shabakadda ee caanka ah
- What evidence-access distinction separates closed-book QA from an open-book QA setting?
- Open-book systems are forbidden to read documents
- Closed-book systems must always be more accurate
- Closed-book uses model parameters without external lookup; open-book can use supplied or retrieved documents
- Open-book systems cannot include a language model
- How can retrieval-augmented generation support a QA answer?
- By guaranteeing every retrieved passage is correct
- By eliminating the need to interpret any passage
- By automatically proving every output claim true
- By providing retrieved passages as evidence for generation
- Which boundary scores can an extractive QA head produce when selecting an answer span?
- Only a translation score for French output
- Scores for possible answer-start and answer-end positions
- Only a grammatical noun-or-verb label
- Only the alphabetical rank of each word
- Waa maxay calaamada habka QA ee si fiican loo nashqadeeyay marka marinku ka maqan yahay jawaabta?
- Si kastaba ha ahaatee waxay soo saartaa jawaab macquul ah
- Waxay soo celisaa marinka oo dhan
- Waxay aqoonsan tahay su'aasha aan laga jawaabi karin oo sidaas leh
- Way burburtaa
- How does generative QA differ from requiring an extractive source span?
- It produces answer text rather than requiring an exact span from the passage
- It is restricted to one yes-or-no label in every task
- It never outputs any words present in a source
- It must output only a highlighted passage boundary
- In SQuAD-style QA evaluation, what can token-overlap F1 provide that exact match alone does not?
- Proof that every claimed fact is true
- Partial credit for answer words overlapping a reference
- A guarantee that no answer was copied
- The measured power usage of a server
- Why evaluate a QA system on paraphrased questions that preserve the intended meaning?
- To guarantee that every new paraphrase has a different answer
- To remove all passage evidence from every evaluation
- To replace answer quality with filename length
- To test sensitivity to changes in question wording