| Week | Date | Topic | Readings | Note | |
|---|---|---|---|---|---|
| W1 | 1/13 | L1 | Course Overview [slides] | ||
| 1/15 | L2 | Text Classification [slides] |
Logistic Regression Neural Networks |
||
| W2 | 1/20 | Martin Luther King, Jr. Day (No Class) | |||
| 1/22 | L3 | Word Representations | Assignment 0 Released | ||
| W3 | 1/27 | L4 | Tokenization, Language Modeling | Assignment 1 Released | |
| 1/29 | L5 | Convolutional Neural Network, Recurrent Neural Networks | Assignment 0 Due | ||
| W4 | 2/3 | L6 | Sequential Tagging, Generation | ||
| 2/5 | L7 | Attention, Transformers | |||
| W5 | 2/10 | L8 | Transformers, Positional Encoding | ||
| 2/12 | L9 | Contextualized Representations, Pre-Training | |||
| W6 | 2/17 | L10 | Parameter-Efficient Fine-Tuning | Assignment 1 Due Quiz 1 |
|
| 2/19 | L11 | Large Language Models, In-Context Learning | |||
| W7 | 2/24 | L12 | Reasoning, Instruction Tuning | Assignment 2 Released | |
| 2/26 | L13 | Human Preference Alignment | |||
| W8 | 3/3 | L14 | Text Similarity, Retrieval-Augmented Generation | Project Proposal Due | |
| 3/5 | Project Highlight | ||||
| W9 | 3/10 | Spring Break (No Class) | |||
| 3/12 | Spring Break (No Class) | ||||
| W10 | 3/17 | L15 | Multilingual NLP | Assignment 2 Due Quiz 2 |
|
| 3/19 | L16 | Vision-Language Models | |||
| W11 | 3/24 | L17 | Adversarial Attack and Defense | Assignment 3 Released | |
| 3/26 | L18 | Social Bias Detection and Mitigation | |||
| W12 | 3/31 | Invited Talk (Minhao Cheng) | |||
| 4/2 | L19 | AI-Generated Text Detection | Midterm Report Due | ||
| W13 | 4/7 | L20 | Hallucinations and Misinformation Control | ||
| 4/9 | L21 | Controlled Generation, Non-Autoregressive Generation | |||
| W14 | 4/14 | L22 | Question Answering, Information Extraction | Assignment 3 Due Quiz 3 |
|
| 4/16 | Invited Talk (Pan Lu) | ||||
| W15 | 4/21 | Project Presentation | |||
| 4/23 | Project Presentation | ||||
| W16 | 4/28 | Project Presentation | |||
| 4/30 | Reading Day (No Class) | Project Report Due |