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--- ml:diffusion_models [2025/04/06 08:24] – [Diffusion Models in NLP] jmflanig
+++ ml:diffusion_models [2025/06/11 23:30] (current) – [Diffusion Models in NLP] jmflanig
@@ Line 3: / Line 3: @@
 ===== Overviews =====
   * [[https://arxiv.org/pdf/2209.00796|Yang et al 2022 - Diffusion Models: A Comprehensive Survey of Methods and Applications]]
+  * **Tutorials**
+    * [[https://arxiv.org/pdf/2406.08929|Nakkiran et al 2024 - Step-by-Step Diffusion: An Elementary Tutorial]]
+    * [[https://arxiv.org/pdf/2301.11108|McAllester 2023 - On the Mathematics of Diffusion Models]]
   * **In NLP**
     * [[https://arxiv.org/pdf/2303.07576|Zhu & Zhao 2023 - Diffusion Models in NLP: A Survey]]
@@ Line 18: / Line 21: @@
 ===== Diffusion Models in NLP =====
   * [[https://arxiv.org/pdf/2205.14217|Li et al 2022 - Diffusion-LM Improves Controllable Text Generation]]
+  * [[https://arxiv.org/pdf/2302.05737|Zheng et al 2023 - Reparameterized Discrete Diffusion Model for Text Generation]]
   * [[https://arxiv.org/pdf/2402.07754|Ye et al 2024 - Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models]]
-  * [[https://arxiv.org/pdf/2502.09992|Nie et al 2025 - Large Language Diffusion Models]]
+  * **LLaDA: [[https://arxiv.org/pdf/2502.09992|Nie et al 2025 - Large Language Diffusion Models]]**
+  * [[https://arxiv.org/pdf/2503.09573|Arriola et al 2025 - Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models]]
+  * [[https://arxiv.org/pdf/2505.22165|Li et al 2025 - Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion Processes]]
+  * [[https://arxiv.org/pdf/2505.22618|Wu et al 2025 - Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding]] Nvidia paper
 ===== Related Pages =====
+  * [[Image Generation]]