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--- nlp:pretraining [2026/07/22 06:03] – [Related Pages] jmflanig
+++ nlp:pretraining [2026/08/03 03:13] (current) – [Pretraining (and Post-training) Methodology] jmflanig
@@ Line 100: / Line 100: @@
   * [[https://arxiv.org/pdf/2007.06778.pdf|Tu et al 2020 - An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models]]
-====== Pretraining Methodology ======
+====== Pretraining (and Post-training) Methodology ======
 See also [[ml:scaling laws]].
   * **Blog posts**:
@@ Line 123: / Line 123: @@
     * [[https://arxiv.org/pdf/2407.21783|Llama Team 2024 - The Llama 3 Herd of Models]]
     * [[https://arxiv.org/pdf/2412.19437|2024 - DeepSeek-V3 Technical Report]]
+    * [[https://arxiv.org/pdf/2512.02556|2025 - DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models]]
+    * [[https://arxiv.org/pdf/2606.19348|2026 - DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence]]
+    * [[https://arxiv.org/pdf/2607.02770|Google Team 2026 - Gemma 4 Technical Report]]
   * **Closed Model System Cards**
     * These sometimes contain some interesting information, especially OpenAI's system cards