Update README.md

README.md

@@ -46,12 +46,19 @@ LIMI is an agentic model fine‑tuned from [GLM‑4.5](https://huggingface.co/za
 - Training framework: slime
 - Training data: curated conversations from [GAIR/LIMI](https://huggingface.co/datasets/GAIR/LIMI)
 
-## Key Results
- 
-| Model | Agency Bench FTFC | Agency Bench SR | Agency Bench RC | Training Samples |
-|-------|--------|---------|---------|-----------------|
-| LIMI (Ours) | **71.7** | **74.2** |**74.6**| 78 |
-| GLM-4.5 | 37.8 | 50.0 | 47.4 | N/A |
+## Performance on AgencyBench
+
+Our models achieve state-of-the-art performance across multiple agentic evaluation tasks:
+
+| Model | FTFC (↑) | RC@3 (↑) | SR@3 (↑) | Avg. |
+|-------|----------|----------|----------|-----------------|
+| GLM-4.5-Air | 15.0 | 16.1 | 20.0 | 17.0 |
+| GLM-4.5 | 37.8 | 50.0 | 47.4 | 45.1 |
+|GLM-4.5-CodeAgent| 48.0 | 48.0|47.5| 47.8|
+| **LIMI-Air** | **35.4** | **34.3** | **33.1** | **34.3** |
+| **LIMI** | **71.7** | **74.2** | **74.6** | **73.5** |
+
+For detailed benchmark results, experimental setup, and comprehensive comparisons, please refer to our [paper](https://arxiv.org/pdf/2509.17567). 
 
 ## Model Zoo