Update README.md

README.md

@@ -35,7 +35,7 @@ For **SDAR** models, inference hyperparameters are set to: `block_length = 4`, `
 For **Qwen3-1.7B-AR-SFT** and **Qwen3-30B-AR-SFT**, we use *greedy decoding*, and the base models **Qwen3-1.7B-Base** and **Qwen3-30B-Base** are derived from the [Qwen3 Technical Report](https://arxiv.org/abs/2505.09388).
 
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+  <img src="https://raw.githubusercontent.com/JetAstra/SDAR/main/assets/table1.png" style="max-width:100%; height:auto;">
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 ### SDAR-Sci v.s. AR Baseline
@@ -44,7 +44,7 @@ This table presents a **controlled comparison** between AR and SDAR under the sa
 The results are averaged over 8 runs for GPQA, and over 32 runs each for AIME 2024, AIME 2025, and LiveMathBench.
 
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 #### SDAR-Sci v.s. Other Models
@@ -53,5 +53,5 @@ This table positions **SDAR-30B-A3B-Sci(sample)** against leading open-source an
 Scores for external models are sourced from the [InternLM/Intern-S1](https://github.com/InternLM/Intern-S1) repository.
 
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+  <img src="https://raw.githubusercontent.com/JetAstra/SDAR/main/assets/table3.png" style="max-width:100%; height:auto;">
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