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i-NLP · Sequence models & decoding

6 questions · 26 marks · 1 paper

Answer key

Indian Institute of Technology Madras

BS Degree Programme · Examination & Study Paper

Introduction to Natural Language Processing

Sequence models & decoding

Official Paper

Examination Instructions & Guidelines

Solve on notebook/paper first before checking solutions.
MCQ: Exactly 1 option is correct. Negative marking applies.
MSQ: One or more options correct. Select all to score.
NAT: Numerical response. No negative marking.
Scientific calculator allowed for all calculations.
Official answer key is sealed at the end of this sheet.

Q1MCQ4 Marks·Choose one option
Key ↓
How does an LSTM differ from a standard RNN in terms of remembering information?
1. AIt uses a larger hidden state.
2. BIt stores all past hidden states explicitly.
3. CIt introduces gates to control the flow of information.
4. DIt completely replaces hidden states with attention mechanisms.
Q2MCQ5 Marks·Choose one option
Key ↓
In the context of speculative decoding, a draft model predicts three tokens: "a", "quick", "fox". The main model assigns probabilities 0.8, 0.6, and 0.8 respectively.The draft model's probabilities for these words were 0.7, 0.9, and 0.9. Which tokens are most likely to be accepted?
1. AAll three tokens
2. BOnly "a" and "fox"
3. COnly "a"
4. DNone of the tokens
Q3MSQ4 Marks·Choose all correct options
Key ↓
During sequence-to-sequence model training, which of the following statements is/are correct regarding Teacher Forcing and Student Forcing?
1. ATeacher Forcing is used during inference, while Student Forcing is used during training.
2. BTeacher Forcing provides the correct previous output as input during training, whereas Student Forcing generates outputs based on its own previous predictions.
3. CStudent Forcing helps the model converge faster than Teacher Forcing.
4. DTeacher Forcing is mainly used in reinforcement learning settings.
Q4MSQ4 Marks·Choose all correct options
Key ↓
Which of the following statements about beam search is/are incorrect ?
1. ABeam search balances exploration and exploitation by considering multiple sequences at each step.
2. BA larger beam width increases computational cost but improves search quality.
3. CGreedy search is equivalent to beam search with beam size B = 1.
4. DUnlike greedy search, beam search guarantees finding the globally optimal sequence.
Q5MSQ5 Marks·Choose all correct options
Key ↓
1. AThe probability of "apple" increases further.
2. BThe probabilities of "banana" and "cherry" become closer to "apple".
3. CThe probabilities remain unchanged.
4. DThe model always picks "banana".
5. EThe model always picks "cherry".
Q6NAT4 Marks·Write the number
Key ↓
A beam search with beam width = 4 and vocabulary size = 8 is run for 3 decoding steps. How many sequences will remain at the end of 3 steps after pruning?
Your answer:

Official Key

Master Answer Key & Explanations

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Q1C

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