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Large Language Models · End Term · 21 Dec 2025 · September 2025 term · Set 1

Question 6: A company wants to automatically correct noisy OCR text e…

Question 6

+1 markOne correct option

A company wants to automatically correct noisy OCR text extracted from scanned documents. The text contains spelling mistakes, missing words, and scrambled phrases. Which model should they fine-tune?

  1. A

    BERT, because it masks tokens and predicts them independently

  2. B

    BART, because it is trained with text corruption and autoregressive reconstruction

  3. C

    GPT, because it is optimal for bidirectional correction

  4. D

    BERT, because [CLS] captures global structure

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Correct answer

  • B

    BART, because it is trained with text corruption and autoregressive reconstruction

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Question 6 of 24 in the IIT Madras BS Large Language Models (LLM) End Term paper sat on 21 Dec 2025, in the September 2025 term (Large Language Models 21 Dec 25). It carries 1 mark.

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