Add Hugging Face paper link (#1)

- Add Hugging Face paper link (9f9b728c23524f146ccf05e73086f137a6b5b6fd)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -1,12 +1,12 @@
 ---
-license: apache-2.0
 base_model:
 - Qwen/Qwen2.5-7B-Instruct
 - qqjz/WhisperPro
-library_name: pytorch
-pipeline_tag: audio-text-to-text
 language:
 - en
+library_name: pytorch
+license: apache-2.0
+pipeline_tag: audio-text-to-text
 tags:
 - textpro-slm
 - speech-language-model
@@ -14,6 +14,7 @@ tags:
 - audio
 - interleaving
 ---
+
 # TextPro-SLM-7B-Interleaving
 
 **Your speech LLM can be a prosody-aware text LLM.**
@@ -22,7 +23,7 @@ tags:
 
 TextPro-SLM brings speech closer to a text LLM's native input format: transcript tokens carry linguistic content, and compact prosody embeddings carry complementary acoustic information. The paper studies how this input-side factorization preserves semantic capabilities while learning paralinguistic understanding with roughly **1,000 hours of LLM training audio**.
 
-[Paper](https://openreview.net/forum?id=Jsjmo8eX29) · [GitHub project](https://github.com/dreamtheater123/TextPro-SLM) · [Paired WhisperPro](https://huggingface.co/qqjz/WhisperPro)
+[Paper](https://huggingface.co/papers/2605.05927) · [GitHub project](https://github.com/dreamtheater123/TextPro-SLM) · [Paired WhisperPro](https://huggingface.co/qqjz/WhisperPro)
 
 ## Checkpoint
 
@@ -88,4 +89,4 @@ The paired WhisperPro derives from OpenAI Whisper large-v3 and has its own Apach
   year={2026},
   url={https://openreview.net/forum?id=Jsjmo8eX29}
 }
-```
+```