Updated readme and leaderbord with performance from newly integrated models

Author: PierreMarza

README.md

@@ -28,6 +28,7 @@ We introduce **THUNDER**, a comprehensive benchmark designed to rigorously compa
 
 ## News
 
+* **2025-11-14**: GIGAPATH, and KAIKO-ViT model variants (S/8, S/16, B/8, B/16) are now supported in THUNDER. The downstream performance of GIGAPATH, KAIKO-S/16 and KAIKO-B/16 were integrated into the [up-to-date rank-sum leaderboard](https://mics-lab.github.io/thunder/leaderboards/#up-to-date-rank-sum-leaderboard) and the [SPIDER Leaderboard](https://mics-lab.github.io/thunder/leaderboards/#spider-leaderboard).
 * **2025-11-11**: You can now run any task in thunder on a custom dataset. Check the [tutorial](https://mics-lab.github.io/thunder/custom_dataset/) to learn more about this feature.
 * **2025-10-30**: DINOv3 model variants (B, S, L) are now supported in THUNDER. Their downstream performance was integrated along with SPIDER results into a new [up-to-date rank-sum leaderboard](https://mics-lab.github.io/thunder/leaderboards/#up-to-date-rank-sum-leaderboard).
 * **2025-10-06**: As requested (https://github.com/MICS-Lab/thunder/issues/1), a new *zero-shot classification* task to evaluate VLMs was included into THUNDER. Example command: `thunder benchmark keep spider_breast zero_shot_vlm`. See the dedicated [zero-shot classification leaderboard](https://mics-lab.github.io/thunder/leaderboards/#zero-shot-vlm-classification-leaderboard).