Update README.md

README.md

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 TADA is a unified speech-language model that synchronizes speech and text into a single, cohesive stream via 1:1 alignment. By leveraging a novel tokenizer and architectural design, TADA achieves high-fidelity synthesis and generation with a fraction of the computational overhead required by traditional models.
 
+⭐️ arxiv: https://arxiv.org/abs/2602.23068
+⭐️ demo: https://huggingface.co/spaces/HumeAI/tada
+⭐️ github: https://github.com/HumeAI/tada
+⭐️ blog post:
+
 ## Key Features
 
 - 1:1 Token Alignment: Unlike standard models, TADA’s tokenizer encodes audio into a sequence of vectors that perfectly matches the number of text tokens.
@@ -58,6 +63,9 @@ We provide several model checkpoints:
 
 All models use the same encoder ([`HumeAI/tada-codec`](https://huggingface.co/HumeAI/tada-codec)) and can be loaded using the same API.
 
+## Evaluation
+
+
 ## Run Inferece
 
 ### Text-to-Speech