Update README.md

README.md

@@ -11,7 +11,7 @@ datasets:
 SNet-T25 is an MLIP trained on the Titan25 dataset.
 It was designed for general chemical reactivity, including interfacial reactions,
 and trained on the eleven elements included in [Titan25](https://huggingface.co/datasets/aixsim/Titan25) (C, H, N, O, Ag, Au, Cu, Pd, Pt, Rh, Ru).
-Detailed evaluation results are available at [GAIA paper](https://arxiv.org/abs/2509.25798),
+Its evaluation results are available at [GAIA paper](https://arxiv.org/abs/2509.25798),
 which also provides full details of the model architecture and hyperparameters.
 
 The original SNet-T25 was trained using our in-house framework;