Add acknowledgements matching the code repository

README.md

@@ -91,6 +91,12 @@ Average accuracy (%), as reported in the paper:
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+## Acknowledgement
+
+Our implementation builds on [FLA](https://github.com/fla-org/flash-linear-attention), [RWKV](https://github.com/BlinkDL/RWKV-LM), [Mamba](https://github.com/state-spaces/mamba), and [Transformers](https://github.com/huggingface/transformers). We also thank [FLAME](https://github.com/fla-org/flame), which was used for the original training experiments.
+
+Our retrieval evaluation uses [RULER](https://github.com/NVIDIA/RULER). Benchmark attribution and data notices are provided in [data/ruler/NOTICE.md](https://github.com/SpeedAI-Lab/DAMI/blob/main/data/ruler/NOTICE.md). We thank the authors and developers for making their work available. Please cite the corresponding papers when using these resources.
+
 ## License
 
 These checkpoints are released under the MIT License. See the LICENSE file. Benchmark attribution and data notices are provided in the code repository.