Update README.md

README.md

@@ -68,15 +68,7 @@ We evaluated Schematron's real-world impact on LLM factuality using SimpleQA.
 3. **Structured Extraction**: Schematron extracts JSON data from retrieved pages using the schema
 4. **Answer Synthesis**: Primary LLM produces final answer from structured data
 
-| Base Model | Configuration | SimpleQA Accuracy |
-|:-----------|:--------------|------------------:|
-| GPT-5 Nano | Solo | 8.54% |
-| GPT-5 Nano | + SERP + Schematron-8B | 64.15% |
-| GPT-5 Nano | + Exa + **Schematron-3B** | **75.47%** |
-| GPT-5 Nano | + Exa + Gemini 2.5 Flash | 80.61% |
-| GPT-5 Nano | + Exa + **Schematron-8B** | **82.87%** |
-| GPT-4.1 | Solo | 41.60% |
-| GPT-4.1 | + Exa + **Schematron-8B** | **85.58%** |
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6626a246891c75742bd19aaf/h2CA0TpQ1hKDxexGlpdSQ.png)
 
 **Key findings:**
 - Web search paired with JSON extraction improves factuality: Adding Schematron with web retrieval improves GPT-5 Nano's accuracy from 8.54% to 82.87%—nearly a 10x improvement