An Introduction to Transformers
Fuente:
arXiv
Saved in:
| Main Author: | Turner, Richard E. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fresh in memory: Training-order recency is linearly encoded in language model activations
by: Krasheninnikov, Dmitrii, et al.
Published: (2025)
by: Krasheninnikov, Dmitrii, et al.
Published: (2025)
Introduction to Reinforcement Learning
by: Ghasemi, Majid, et al.
Published: (2024)
by: Ghasemi, Majid, et al.
Published: (2024)
Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner
by: Eschenhagen, Runa, et al.
Published: (2025)
by: Eschenhagen, Runa, et al.
Published: (2025)
Distributional Training Data Attribution: What do Influence Functions Sample?
by: Mlodozeniec, Bruno, et al.
Published: (2025)
by: Mlodozeniec, Bruno, et al.
Published: (2025)
Diffusion Models: A Mathematical Introduction
by: Maleki, Sepehr, et al.
Published: (2025)
by: Maleki, Sepehr, et al.
Published: (2025)
Influence Functions for Scalable Data Attribution in Diffusion Models
by: Mlodozeniec, Bruno, et al.
Published: (2024)
by: Mlodozeniec, Bruno, et al.
Published: (2024)
A Practical Introduction to Deep Reinforcement Learning
by: Sun, Yinghan, et al.
Published: (2025)
by: Sun, Yinghan, et al.
Published: (2025)
On conditional diffusion models for PDE simulations
by: Shysheya, Aliaksandra, et al.
Published: (2024)
by: Shysheya, Aliaksandra, et al.
Published: (2024)
Circuit Complexity of Hierarchical Knowledge Tracing and Implications for Log-Precision Transformers
by: Liu, Naiming, et al.
Published: (2026)
by: Liu, Naiming, et al.
Published: (2026)
Introduction to Graph Neural Networks for Machine Learning Engineers
by: Tanis, James H., et al.
Published: (2024)
by: Tanis, James H., et al.
Published: (2024)
TOAST: Transformer Optimization using Adaptive and Simple Transformations
by: Cannistraci, Irene, et al.
Published: (2024)
by: Cannistraci, Irene, et al.
Published: (2024)
Rotary Position Encodings for Graphs
by: Reid, Isaac, et al.
Published: (2025)
by: Reid, Isaac, et al.
Published: (2025)
Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts
by: Marconato, Emanuele, et al.
Published: (2025)
by: Marconato, Emanuele, et al.
Published: (2025)
Convergent Linear Representations of Emergent Misalignment
by: Soligo, Anna, et al.
Published: (2025)
by: Soligo, Anna, et al.
Published: (2025)
Dialz: A Python Toolkit for Steering Vectors
by: Siddique, Zara, et al.
Published: (2025)
by: Siddique, Zara, et al.
Published: (2025)
Causal Graph Fuzzy LLMs: A First Introduction and Applications in Time Series Forecasting
by: Orang, Omid, et al.
Published: (2025)
by: Orang, Omid, et al.
Published: (2025)
An Introduction to Sliced Optimal Transport
by: Nguyen, Khai
Published: (2025)
by: Nguyen, Khai
Published: (2025)
Conformal Transformations for Symmetric Power Transformers
by: Kumar, Saurabh, et al.
Published: (2025)
by: Kumar, Saurabh, et al.
Published: (2025)
Rethinking Tokenized Graph Transformers for Node Classification
by: Chen, Jinsong, et al.
Published: (2025)
by: Chen, Jinsong, et al.
Published: (2025)
Model Organisms for Emergent Misalignment
by: Turner, Edward, et al.
Published: (2025)
by: Turner, Edward, et al.
Published: (2025)
Introduction to AI Safety, Ethics, and Society
by: Hendrycks, Dan
Published: (2024)
by: Hendrycks, Dan
Published: (2024)
Traj-Transformer: Diffusion Models with Transformer for GPS Trajectory Generation
by: Zhang, Zhiyang, et al.
Published: (2025)
by: Zhang, Zhiyang, et al.
Published: (2025)
Are Transformers More Robust? Towards Exact Robustness Verification for Transformers
by: Liao, Brian Hsuan-Cheng, et al.
Published: (2022)
by: Liao, Brian Hsuan-Cheng, et al.
Published: (2022)
RT-Transformer: The Transformer Block as a Spherical State Estimator
by: Racioppo, Peter
Published: (2026)
by: Racioppo, Peter
Published: (2026)
AB-UPT: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via Anchored-Branched Universal Physics Transformers
by: Alkin, Benedikt, et al.
Published: (2025)
by: Alkin, Benedikt, et al.
Published: (2025)
EnTransformer: A Deep Generative Transformer for Multivariate Probabilistic Forecasting
by: Pathak, Rajdeep, et al.
Published: (2026)
by: Pathak, Rajdeep, et al.
Published: (2026)
Probabilistic Retrofitting of Learned Simulators
by: Diaconu, Cristiana, et al.
Published: (2026)
by: Diaconu, Cristiana, et al.
Published: (2026)
Consistency Training Helps Stop Sycophancy and Jailbreaks
by: Irpan, Alex, et al.
Published: (2025)
by: Irpan, Alex, et al.
Published: (2025)
Gradient Routing: Masking Gradients to Localize Computation in Neural Networks
by: Cloud, Alex, et al.
Published: (2024)
by: Cloud, Alex, et al.
Published: (2024)
Understanding Addition in Transformers
by: Quirke, Philip, et al.
Published: (2023)
by: Quirke, Philip, et al.
Published: (2023)
The Topological Trouble With Transformers
by: Mozer, Michael C., et al.
Published: (2026)
by: Mozer, Michael C., et al.
Published: (2026)
Kalman Bayesian Transformer
by: Jing, Haoming, et al.
Published: (2025)
by: Jing, Haoming, et al.
Published: (2025)
Directional Routing in Transformers
by: Taylor, Kevin
Published: (2026)
by: Taylor, Kevin
Published: (2026)
Latent Flow Transformer
by: Wu, Yen-Chen, et al.
Published: (2025)
by: Wu, Yen-Chen, et al.
Published: (2025)
Parity, Sensitivity, and Transformers
by: Kozachinskiy, Alexander, et al.
Published: (2026)
by: Kozachinskiy, Alexander, et al.
Published: (2026)
Homeostasis and Sparsity in Transformer
by: Kotyuzanskiy, Leonid, et al.
Published: (2024)
by: Kotyuzanskiy, Leonid, et al.
Published: (2024)
On Limitations of the Transformer Architecture
by: Peng, Binghui, et al.
Published: (2024)
by: Peng, Binghui, et al.
Published: (2024)
GoldenTransformer: A Modular Fault Injection Framework for Transformer Robustness Research
by: Howard, Luke
Published: (2025)
by: Howard, Luke
Published: (2025)
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization
by: Kan, Kelvin, et al.
Published: (2025)
by: Kan, Kelvin, et al.
Published: (2025)
Transforming Behavioral Neuroscience Discovery with In-Context Learning and AI-Enhanced Tensor Methods
by: Goulart, Paimon, et al.
Published: (2026)
by: Goulart, Paimon, et al.
Published: (2026)
Similar Items
-
Fresh in memory: Training-order recency is linearly encoded in language model activations
by: Krasheninnikov, Dmitrii, et al.
Published: (2025) -
Introduction to Reinforcement Learning
by: Ghasemi, Majid, et al.
Published: (2024) -
Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner
by: Eschenhagen, Runa, et al.
Published: (2025) -
Distributional Training Data Attribution: What do Influence Functions Sample?
by: Mlodozeniec, Bruno, et al.
Published: (2025) -
Diffusion Models: A Mathematical Introduction
by: Maleki, Sepehr, et al.
Published: (2025)