L00 · 课程参考资料
本页按 CS224N Winter 2026 的课程顺序汇总各讲涉及的讲义、视频、代码与延伸阅读。每讲页面仍保留与本讲直接相关的资料入口。
资料索引
按课程顺序整理讲义、视频、代码与延伸阅读;每一项都保留在对应讲次下。
120 条资料 · 21 讲 · 122 次关联
History of NLP
4 条资料
Word Vectors
11 条资料
讲义 / SlidesWord Vectors · slidesWinter 2026 官方课程表所列资料。↗文档Word Vectors · 官方补充 notes 12026 官网沿用的往年配套材料;原文年份保持不变。↗文档Word Vectors · 官方补充 notes 22026 官网沿用的往年配套材料;原文年份保持不变。↗论文Efficient Estimation of Word Representations in Vector SpaceWinter 2026 官方课程表所列资料。↗论文Distributed Representations of Words and Phrases and their CompositionalityWinter 2026 官方课程表所列资料。↗文档GloVe: Global Vectors for Word RepresentationWinter 2026 官方课程表所列资料。↗论文Improving Distributional Similarity with Lessons Learned from Word EmbeddingsWinter 2026 官方课程表所列资料。↗论文Evaluation methods for unsupervised word embeddingsWinter 2026 官方课程表所列资料。↗论文A Latent Variable Model Approach to PMI-based Word EmbeddingsWinter 2026 官方课程表所列资料。↗论文Linear Algebraic Structure of Word Senses, with Applications to PolysemyWinter 2026 官方课程表所列资料。↗论文On the Dimensionality of Word EmbeddingWinter 2026 官方课程表所列资料。↗
Backpropagation and Neural Network Basics
13 条资料
讲义 / SlidesBackpropagation and Neural Network Basics · slidesWinter 2026 官方课程表所列资料。↗文档Backpropagation and Neural Network Basics · 官方补充 notes2026 官网沿用的往年配套材料;原文年份保持不变。↗文档Assignment 2 · 官方起始代码 ZIPWinter 2026 官方课程表所列资料。↗文档Assignment 2 · 题目说明 PDFWinter 2026 官方课程表所列资料。↗文档Assignment 2 · LaTeX 模板Winter 2026 官方课程表所列资料。↗文档matrix calculus notesWinter 2026 官方课程表所列资料。↗文档Review of differential calculusWinter 2026 官方课程表所列资料。↗文档CS231n notes on network architecturesWinter 2026 官方课程表所列资料。↗文档CS231n notes on backpropWinter 2026 官方课程表所列资料。↗文档Derivatives, Backpropagation, and VectorizationWinter 2026 官方课程表所列资料。↗文档Learning Representations by Backpropagating ErrorsWinter 2026 官方课程表所列资料。↗文档Yes you should understand backpropWinter 2026 官方课程表所列资料。↗论文Natural Language Processing (Almost) from ScratchWinter 2026 官方课程表所列资料。↗
Language Models and RNNs
6 条资料
讲义 / SlidesLanguage Models and RNNs · slidesWinter 2026 官方课程表所列资料。↗文档Language Models and RNNs · 官方补充 notes2026 官网沿用的往年配套材料;原文年份保持不变。↗文档Learning long-term dependencies with gradient descent is difficultWinter 2026 官方课程表所列资料。↗论文On the difficulty of training Recurrent Neural NetworksWinter 2026 官方课程表所列资料。↗文档Vanishing Gradients Jupyter NotebookWinter 2026 官方课程表所列资料。↗论文Attention Is All You NeedWinter 2026 官方课程表所列资料。↗
Transformers
9 条资料
讲义 / SlidesTransformers · slidesWinter 2026 官方课程表所列资料。↗文档Transformers · 官方补充 notesWinter 2026 官方课程表所列资料。↗论文Attention Is All You NeedWinter 2026 官方课程表所列资料。↗文档The Illustrated TransformerWinter 2026 官方课程表所列资料。↗文档Transformer (Google AI blog post)Winter 2026 官方课程表所列资料。↗论文Layer NormalizationWinter 2026 官方课程表所列资料。↗论文Image TransformerWinter 2026 官方课程表所列资料。↗论文Music Transformer: Generating music with long-term structureWinter 2026 官方课程表所列资料。↗文档Jurafsky and Martin Chapter 9 (The Transformer)Winter 2026 官方课程表所列资料。↗
Final Projects: Custom and Default; Practical Tips
5 条资料
Pretraining (Scaling, Systems, Data)
6 条资料
讲义 / SlidesPretraining (Scaling, Systems, Data) · slidesWinter 2026 官方课程表所列资料。↗论文BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingWinter 2026 官方课程表所列资料。↗论文Contextual Word Representations: A Contextual IntroductionWinter 2026 官方课程表所列资料。↗文档The Illustrated BERT, ELMo, and co.Winter 2026 官方课程表所列资料。↗文档Jurafsky and Martin Chapter 10 (Masked Language Models)Winter 2026 官方课程表所列资料。↗论文The Llama 3 Herd of ModelsWinter 2026 官方课程表所列资料。↗
Post-training (RLHF, SFT, DPO)
9 条资料
讲义 / SlidesPost-training (RLHF, SFT, DPO) · slidesWinter 2026 官方课程表所列资料。↗文档Project Proposal · 项目提案说明Winter 2026 官方课程表所列资料。↗文档Default Final Project · 题目说明Winter 2026 官方课程表所列资料。↗代码Default Final Project · GPT-2 起始代码2026 官网链接的项目说明在 Getting Started 中指定的仓库。↗文档Aligning language models to follow instructionsWinter 2026 官方课程表所列资料。↗论文Scaling Instruction-Finetuned Language ModelsWinter 2026 官方课程表所列资料。↗论文AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackWinter 2026 官方课程表所列资料。↗论文How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesWinter 2026 官方课程表所列资料。↗论文Direct Preference Optimization: Your Language Model is Secretly a Reward ModelWinter 2026 官方课程表所列资料。↗
Efficient Adaptation (Prompting + PEFT)
6 条资料
讲义 / SlidesEfficient Adaptation (Prompting + PEFT) · slidesWinter 2026 官方课程表所列资料。↗论文Language Models are Few-Shot LearnersWinter 2026 官方课程表所列资料。↗论文Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsWinter 2026 官方课程表所列资料。↗论文The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural NetworksWinter 2026 官方课程表所列资料。↗论文LoRA: Low-Rank Adaptation of Large Language ModelsWinter 2026 官方课程表所列资料。↗论文Parameter-Efficient Transfer Learning for NLPWinter 2026 官方课程表所列资料。↗
Agents, Tool Use, and RAG
8 条资料
讲义 / SlidesAgents, Tool Use, and RAG · slidesWinter 2026 官方课程表所列资料。↗文档Assignment 4 · 官方起始代码 ZIPWinter 2026 官方课程表所列资料。↗文档Assignment 4 · 题目说明 PDFWinter 2026 官方课程表所列资料。↗文档Assignment 4 · LaTeX 模板Winter 2026 官方课程表所列资料。↗论文ReAct: Synergizing Reasoning and Acting in Language ModelsWinter 2026 官方课程表所列资料。↗文档Language Agents: Foundations, Prospects, and RisksWinter 2026 官方课程表所列资料。↗论文Retrieval-Augmented Generation for Knowledge-Intensive NLP TasksWinter 2026 官方课程表所列资料。↗论文Toolformer: Language Models Can Teach Themselves to Use ToolsWinter 2026 官方课程表所列资料。↗
Benchmarking and Evaluation
5 条资料
讲义 / SlidesBenchmarking and Evaluation · slidesWinter 2026 官方课程表所列资料。↗文档Challenges and Opportunities in NLP BenchmarkingWinter 2026 官方课程表所列资料。↗论文Measuring Massive Multitask Language UnderstandingWinter 2026 官方课程表所列资料。↗论文Holistic Evaluation of Language ModelsWinter 2026 官方课程表所列资料。↗文档AlpacaEvalWinter 2026 官方课程表所列资料。↗
Reasoning 1
5 条资料
讲义 / SlidesReasoning 1 · slidesWinter 2026 官方课程表所列资料。↗论文Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsWinter 2026 官方课程表所列资料。↗论文Self-Consistency Improves Chain of Thought Reasoning in Language ModelsWinter 2026 官方课程表所列资料。↗论文DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement LearningWinter 2026 官方课程表所列资料。↗论文DAPO: An Open-Source LLM Reinforcement Learning System at ScaleWinter 2026 官方课程表所列资料。↗
Reasoning 2
6 条资料
讲义 / SlidesReasoning 2 · slidesWinter 2026 官方课程表所列资料。↗文档Project Milestone · 中期检查说明Winter 2026 官方课程表所列资料。↗论文Let's Verify Step by StepWinter 2026 官方课程表所列资料。↗论文Fast Inference from Transformers via Speculative DecodingWinter 2026 官方课程表所列资料。↗论文Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model ParametersWinter 2026 官方课程表所列资料。↗论文RoFormer: Enhanced Transformer with Rotary Position EmbeddingWinter 2026 官方课程表所列资料。↗
Guest Lecture: Tokenization and Multilinguality (by Julie Kallini)
5 条资料
讲义 / SlidesGuest Lecture: Tokenization and Multilinguality (by Julie Kallini) · slidesWinter 2026 官方课程表所列资料。↗文档Jurafsky & Martin Chapter 2Winter 2026 官方课程表所列资料。↗论文Neural Machine Translation of Rare Words with Subword UnitsWinter 2026 官方课程表所列资料。↗论文Unsupervised Cross-lingual Representation Learning at ScaleWinter 2026 官方课程表所列资料。↗论文Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsWinter 2026 官方课程表所列资料。↗
Guest Lecture: Interpretability (by Been Kim)
6 条资料
文档Final Project Report · 报告说明Winter 2026 官方课程表所列资料。↗论文Because we have LLMs, we Can and Should Pursue Agentic InterpretabilityWinter 2026 官方课程表所列资料。↗文档The Pareto Frontier of Human-Centered AIWinter 2026 官方课程表所列资料。↗论文Bridging the human–AI knowledge gap through concept discovery and transfer in AlphaZeroWinter 2026 官方课程表所列资料。↗论文We Can't Understand AI Using our Existing VocabularyWinter 2026 官方课程表所列资料。↗论文Neologism Learning for Controllability and Self-VerbalizationWinter 2026 官方课程表所列资料。↗
Social and Broader Impacts of NLP (Risks)
1 条资料
Guest Lecture: Multimodality (by Luke Zettlemoyer)
11 条资料
文档Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language ModelsWinter 2026 官方课程表所列资料。↗论文Chameleon: Mixed-Modal Early-Fusion Foundation ModelsWinter 2026 官方课程表所列资料。↗论文Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal ModelWinter 2026 官方课程表所列资料。↗论文Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation ModelsWinter 2026 官方课程表所列资料。↗论文Scaling Laws for Generative Mixed-Modal Language ModelsWinter 2026 官方课程表所列资料。↗论文Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction TuningWinter 2026 官方课程表所列资料。↗论文Retrieval Augmented Multimodal Language ModelingWinter 2026 官方课程表所列资料。↗论文LMFusion: Adapting Pretrained Language Models for Multimodal GenerationWinter 2026 官方课程表所列资料。↗论文OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit FlowsWinter 2026 官方课程表所列资料。↗论文Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language ModelsWinter 2026 官方课程表所列资料。↗论文Reconstruction Alignment Improves Unified Multimodal ModelsWinter 2026 官方课程表所列资料。↗
Open Questions in NLP 2026
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Python Review Session
2 条资料
PyTorch Tutorial Session
1 条资料
Hugging Face Transformers Tutorial Session
2 条资料