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Week 1 Mon: Jan. 12
Introduction
Week 1 Wed: Jan. 14
Topic: Text Classification (1)
Week 2 Mon: Jan. 19
No Class (MARTIN LUTHER KING, JR. DAY)
Week 2 Wed: Jan. 21
Topic: Text Classification (2)
Week 3 Mon: Jan. 26
Topic: Word Embeddings (1)
Week 3 Wed: Jan. 28
Topic: Word Embeddings (2)
Quiz 1: Text Classification
Homework 1 out
Week 4 Mon: Feb. 2
No Class (Hanjie traveling)
Week 4 Wed: Feb. 4
No Class (Hanjie traveling)
Week 5 Mon: Feb. 9
Topic: Language Modeling (1)
Week 5 Wed: Feb. 11
Topic: Language Modeling (2)
Quiz 2: Word Embeddings
Homework 1 due
Week 6 Mon: Feb. 16
Topic: Machine Translation, Sequence-to-Sequence Models
Quiz 3: Language Modeling
Week 6 Wed: Feb. 18
Topic: Natural Language Generation
Homework 2 out
Week 7 Mon: Feb. 23
Topic: Attention and Transformers (1)
Quiz 4: Machine Translation, Sequence-to-Sequence Models
Week 7 Wed: Feb. 25
Topic: Attention and Transformers (2)
Week 8 Mon: Mar. 2
Topic: Pre-trained Language Models (1)
Quiz 5: Natural Language Generation
Week 8 Wed: Mar. 4
Topic: Pre-trained Language Models (2)
Homework 2 due
Week 9 Mon: Mar. 9
Project Proposal
Week 9 Wed: Mar. 11
Project Proposal
Week 10 Mon: Mar. 16
No Class (Spring Break)
Week 10 Wed: Mar. 18
No Class (Spring Break)
Week 11 Mon: Mar. 23
Topic: Large Language Models (1)
Quiz 6: Attention and Transformers
Week 11 Wed: Mar. 25
Topic: Large Language Models (2)
Week 12 Mon: Mar. 30
Topic: Prompting, In-context Learning
Quiz 7: Pre-trained Language Models
Week 13 Wed: Apr. 8
Topic: LLM Information Quality Issue and Its Sociotechnical Challenges (Guest Lecturer - Jiawei Zhou)
Week 14 Mon: Apr. 13
Topic: Interpretability, Robustness, Fairness
Quiz 8: Large Language Models, Prompting, In-context Learning
Week 15 Mon: Apr. 20
Final Presentation
Week 15 Wed: Apr. 22
Final Presentation
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