diff --git a/docs/nemotron/omni3/README.md b/docs/nemotron/omni3/README.md
index 5acecf5ce..b32616024 100644
--- a/docs/nemotron/omni3/README.md
+++ b/docs/nemotron/omni3/README.md
@@ -39,7 +39,7 @@ For the full architectural deep-dive — including why EVS drives the throughput
 
 ### Capabilities (released benchmarks)
 
-- Best-in-class on [MMlongbench-Doc](https://mmlongbench.github.io/) and [OCRBenchV2](https://github.com/Yuliang-Liu/MultimodalOCR) (document intelligence)
+- Best-in-class on [MMlongbench-Doc](https://github.com/mayubo2333/MMLongBench-Doc) and [OCRBenchV2](https://github.com/Yuliang-Liu/MultimodalOCR) (document intelligence)
 - Leading on [WorldSense](https://huggingface.co/datasets/honglyhly/WorldSense), [DailyOmni](https://github.com/THUNLP-MT/DailyOmni), [VoiceBench](https://huggingface.co/datasets/hlt-lab/voicebench) (video / audio understanding)
 - **~9.2×** greater effective system capacity on video reasoning, **~7.4×** on multi-document workloads vs. comparable open omni models
 - "Highest throughput across every task" in MediaPerf; "lowest inference cost for video-level tagging"