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Folder: 02---Sections/CS224N

81 items under this folder.

Sep 24, 2026
CS224N 2026 - Lecture 12 - Reasoning Part 1
- cs224n
- lecture
Sep 24, 2026
CS224N 2026 - Lecture 13 - Reasoning Part 2
- cs224n
- lecture
Sep 24, 2026
CS224N 2026 - Lecture 14 - Tokenization and Multilinguality
- cs224n
- lecture
Sep 24, 2026
CS224N 2026 - Lecture 16 - AIs Impact on Humanity
- cs224n
- lecture
Sep 24, 2026
CS224N 2026 - Lecture 19 - The Art of Artificial Reasoning for Small Language Models
- cs224n
- lecture
Sep 24, 2026
SLP 2026 - Chapter 02 - Words and Tokens
- cs224n
- textbook
Sep 24, 2026
SLP 2026 - Chapter 09 - Post-training - Instruction Tuning Alignment and Test-Time
- cs224n
- textbook
Sep 24, 2026
SLP 2026 - Chapter 10 - Masked Language Models
- cs224n
- textbook
Sep 24, 2026
2025 - We Cant Understand AI Using Our Existing Vocabulary
- cs224n
- paper
Sep 24, 2026
CS224N - Notes - Backpropagation Old
- cs224n
- course-note
Sep 24, 2026
CS224N 2017 - Review of Differential Calculus Theory
- cs224n
- course-note
Sep 24, 2026
CS224N 2019 - Notes - Computing Neural Network Gradients
- cs224n
- course-note
Sep 24, 2026
CS224N 2019 - Notes 02 - Word Vectors II - GloVe Evaluation and Training
- cs224n
- course-note
Sep 24, 2026
CS224N 2019 - Notes 03 - Neural Networks and Backpropagation
- cs224n
- course-note
Sep 24, 2026
CS224N 2019 - Notes 05 - Language Models RNN GRU and LSTM
- cs224n
- course-note
Sep 24, 2026
CS224N 2023 - Notes 01 - Introduction and Word2Vec - Draft
- cs224n
- course-note
Sep 24, 2026
CS224N 2023 - Notes 10 - Self-Attention and Transformers - Draft
- cs224n
- course-note
Sep 24, 2026
CS224N 2026 - Lecture 02 - Word Vectors
- cs224n
- lecture
Sep 24, 2026
CS224N 2026 - Lecture 03 - Neural Network Foundations
- cs224n
- lecture
Sep 24, 2026
CS224N 2026 - Lecture 04 - Language Models and Recurrent Neural Networks
- cs224n
- lecture
Sep 24, 2026
CS224N 2026 - Lecture 05 - Attention and Transformers
- cs224n
- lecture
Sep 24, 2026
CS224N 2026 - Lecture 06 - Final Projects and Practical Tips
- cs224n
- lecture
Sep 24, 2026
CS224N 2026 - Lecture 07 - Pretraining
- cs224n
- lecture
Sep 24, 2026
CS224N 2026 - Lecture 08 - Post-training
- cs224n
- lecture
Sep 24, 2026
CS224N 2026 - Lecture 09 - Efficient Adaptation
- cs224n
- lecture
Sep 24, 2026
CS224N 2026 - Lecture 10 - RAG and Language Agents
- cs224n
- lecture
Sep 24, 2026
CS224N 2026 - Lecture 11 - Evaluation
- cs224n
- lecture
Sep 24, 2026
2011 - Natural Language Processing Almost from Scratch
- cs224n
- paper
Sep 24, 2026
2013 - Distributed Representations of Words and Phrases and their Compositionality
- cs224n
- paper
Sep 24, 2026
2013 - Efficient Estimation of Word Representations in Vector Space
- cs224n
- paper
Sep 24, 2026
2013 - On the Difficulty of Training Recurrent Neural Networks
- cs224n
- paper
Sep 24, 2026
2014 - GloVe - Global Vectors for Word Representation
- cs224n
- paper
Sep 24, 2026
2015 - Improving Distributional Similarity with Lessons Learned from Word Embeddings
- cs224n
- paper
Sep 24, 2026
2016 - A Latent Variable Model Approach to PMI-based Word Embeddings
- cs224n
- paper
Sep 24, 2026
2016 - Layer Normalization
- cs224n
- paper
Sep 24, 2026
2016 - Neural Machine Translation of Rare Words with Subword Units
- cs224n
- paper
Sep 24, 2026
2017 - Attention Is All You Need
- cs224n
- paper
Sep 24, 2026
2017 - Derivatives Backpropagation and Vectorization - Justin Johnson
- cs224n
- paper
Sep 24, 2026
2018 - BERT - Pre-training of Deep Bidirectional Transformers for Language Understanding
- cs224n
- paper
Sep 24, 2026
2018 - Image Transformer
- cs224n
- paper
Sep 24, 2026
2018 - Music Transformer - Generating Music with Long-Term Structure
- cs224n
- paper
Sep 24, 2026
2018 - On the Dimensionality of Word Embedding
- cs224n
- paper
Sep 24, 2026
2019 - Parameter-Efficient Transfer Learning for NLP
- cs224n
- paper
Sep 24, 2026
2019 - The Lottery Ticket Hypothesis - Finding Sparse Trainable Neural Networks
- cs224n
- paper
Sep 24, 2026
2020 - Contextual Word Representations - A Contextual Introduction
- cs224n
- paper
Sep 24, 2026
2020 - Language Models are Few-Shot Learners
- cs224n
- paper
Sep 24, 2026
2020 - Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
- cs224n
- paper
Sep 24, 2026
2020 - Unsupervised Cross-lingual Representation Learning at Scale
- cs224n
- paper
Sep 24, 2026
2021 - LoRA - Low-Rank Adaptation of Large Language Models
- cs224n
- paper
Sep 24, 2026
2021 - Measuring Massive Multitask Language Understanding
- cs224n
- paper
Sep 24, 2026
2021 - RoFormer - Enhanced Transformer with Rotary Position Embedding
- cs224n
- paper
Sep 24, 2026
2022 - Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
- cs224n
- paper
Sep 24, 2026
2022 - Fast Inference from Transformers via Speculative Decoding
- cs224n
- paper
Sep 24, 2026
2022 - Retrieval-Augmented Multimodal Language Modeling
- cs224n
- paper
Sep 24, 2026
2022 - Scaling Instruction-Finetuned Language Models
- cs224n
- paper
Sep 24, 2026
2023 - AlpacaFarm - A Simulation Framework for Methods that Learn from Human Feedback
- cs224n
- paper
Sep 24, 2026
2023 - Direct Preference Optimization - Your Language Model is Secretly a Reward Model
- cs224n
- paper
Sep 24, 2026
2023 - Do All Languages Cost the Same - Tokenization in the Era of Commercial Language Models
- cs224n
- paper
Sep 24, 2026
2023 - Holistic Evaluation of Language Models
- cs224n
- paper
Sep 24, 2026
2023 - How Far Can Camels Go - Exploring Instruction Tuning on Open Resources
- cs224n
- paper
Sep 24, 2026
2023 - Lets Verify Step by Step
- cs224n
- paper
Sep 24, 2026
2023 - ReAct - Synergizing Reasoning and Acting in Language Models
- cs224n
- paper
Sep 24, 2026
2023 - Scaling Autoregressive Multi-Modal Models - Pretraining and Instruction Tuning
- cs224n
- paper
Sep 24, 2026
2023 - Scaling Laws for Generative Mixed-Modal Language Models
- cs224n
- paper
Sep 24, 2026
2023 - Self-Consistency Improves Chain of Thought Reasoning in Language Models
- cs224n
- paper
Sep 24, 2026
2023 - Toolformer - Language Models Can Teach Themselves to Use Tools
- cs224n
- paper
Sep 24, 2026
2024 - Chameleon - Mixed-Modal Early-Fusion Foundation Models
- cs224n
- paper
Sep 24, 2026
2024 - LMFusion - Adapting Pretrained Language Models for Multimodal Generation
- cs224n
- paper
Sep 24, 2026
2024 - Scaling LLM Test-Time Compute Optimally Can Be More Effective Than Scaling Model Parameters
- cs224n
- paper
Sep 24, 2026
2024 - The Llama 3 Herd of Models
- cs224n
- paper
Sep 24, 2026
2024 - Transfusion - Predict the Next Token and Diffuse Images with One Multi-Modal Model
- cs224n
- paper
Sep 24, 2026
2024 - Visual Sketchpad - Sketching as a Visual Chain of Thought for Multimodal Language Models
- cs224n
- paper
Sep 24, 2026
2025 - Agentic Interpretability - Because We Have LLMs We Can and Should Pursue It
- cs224n
- paper
Sep 24, 2026
2025 - Bridging the Human-AI Knowledge Gap Through Concept Discovery and Transfer in AlphaZero
- cs224n
- paper
Sep 24, 2026
2025 - DAPO - An Open-Source LLM Reinforcement Learning System at Scale
- cs224n
- paper
Sep 24, 2026
2025 - DeepSeek-R1 - Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- cs224n
- paper
Sep 24, 2026
2025 - Mixture-of-Transformers - A Sparse and Scalable Architecture for Multi-Modal Foundation Models
- cs224n
- paper
Sep 24, 2026
2025 - Multimodal RewardBench - Holistic Evaluation of Reward Models for Vision Language Models
- cs224n
- paper
Sep 24, 2026
2025 - Neologism Learning for Controllability and Self-Verbalization
- cs224n
- paper
Sep 24, 2026
2025 - OneFlow - Concurrent Mixed-Modal and Interleaved Generation with Edit Flows
- cs224n
- paper
Sep 24, 2026
2025 - Reconstruction Alignment Improves Unified Multimodal Models
- cs224n
- paper

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