Add link to HF paper page

README.md

@@ -1,14 +1,14 @@
 ---
-license: other
-license_name: qwen-research
-license_link: https://huggingface.co/qqjz/TextPro-SLM-3B-Global/blob/main/LICENSE
 base_model:
 - Qwen/Qwen2.5-3B-Instruct
 - qqjz/WhisperPro
-library_name: pytorch
-pipeline_tag: audio-text-to-text
 language:
 - en
+library_name: pytorch
+license: other
+license_name: qwen-research
+license_link: https://huggingface.co/qqjz/TextPro-SLM-3B-Global/blob/main/LICENSE
+pipeline_tag: audio-text-to-text
 tags:
 - textpro-slm
 - speech-language-model
@@ -16,6 +16,7 @@ tags:
 - audio
 - global-prepending
 ---
+
 # TextPro-SLM-3B-Global
 
 **Your speech LLM can be a prosody-aware text LLM.**
@@ -24,7 +25,7 @@ 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://openreview.net/forum?id=Jsjmo8eX29) · [GitHub project](https://github.com/dreamtheater123/TextPro-SLM) · [Paired WhisperPro](https://huggingface.co/qqjz/WhisperPro) · [Hugging Face Paper](https://huggingface.co/papers/2605.05927)
 
 ## Checkpoint
 
@@ -90,4 +91,4 @@ The paired WhisperPro derives from OpenAI Whisper large-v3 and has its own Apach
   year={2026},
   url={https://openreview.net/forum?id=Jsjmo8eX29}
 }
-```
+```