Update README.md

README.md

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+---
 title: Audio Reasoning & Step-Audio-R1 Explorer
 emoji: 🎧
 colorFrom: purple
@@ -9,120 +10,89 @@ pinned: false
 license: cc-by-4.0
 short_description: Interactive guide to audio reasoning and Step-Audio-R1 model
 tags:
+  - audio
+  - reasoning
+  - multimodal
+  - step-audio-r1
+  - LALM
+  - chain-of-thought
+  - education
+---
 
-audio
+# 🎧 Audio Reasoning & Step-Audio-R1 Explorer
 
-reasoning
+An interactive educational space exploring the groundbreaking concepts behind **audio reasoning** and the **Step-Audio-R1** model.
 
-multimodal
+---
 
-step-audio-r1
+## 🎯 What is Audio Reasoning?
 
-LALM
+Audio reasoning is an AI model's ability to perform **deliberate, multi-step thinking processes** over audio inputs. This goes far beyond simple speech recognition (ASR) or audio classification.
 
-chain-of-thought
+**Step-Audio-R1** is the first model to successfully unlock reasoning capabilities in the audio domain, solving the "inverted scaling anomaly" that plagued previous audio language models.
 
-education
+---
 
-🎧 Audio Reasoning & Step-Audio-R1 Explorer
+## 🚀 Features of This Space
 
-An interactive educational space exploring the groundbreaking concepts behind audio reasoning and the Step-Audio-R1 model.
+| Tab | Content |
+| :--- | :--- |
+| **🏠 Introduction** | Overview of audio reasoning and key achievements. |
+| **🧠 Reasoning Types** | Interactive explorer for 5 types of audio reasoning. |
+| **🚫 The Problem** | Understanding the inverted scaling anomaly. |
+| **🔬 MGRD Solution** | How Modality-Grounded Reasoning Distillation works. |
+| **🏗️ Architecture** | Step-Audio-R1 model architecture breakdown. |
+| **📊 Benchmarks** | Performance comparisons and results. |
+| **🎮 Interactive Demo** | Simulated audio reasoning examples. |
+| **🚀 Applications** | Real-world use cases. |
+| **📚 Resources** | Papers, code, and references. |
 
-🎯 What is Audio Reasoning?
+---
 
-Audio reasoning is an AI model's ability to perform deliberate, multi-step thinking processes over audio inputs. This goes far beyond simple speech recognition (ASR) or audio classification.
+## 🔬 Key Innovation: MGRD
 
-Step-Audio-R1 is the first model to successfully unlock reasoning capabilities in the audio domain, solving the "inverted scaling anomaly" that plagued previous audio language models.
+**Modality-Grounded Reasoning Distillation (MGRD)** is the core innovation that makes Step-Audio-R1 work. It transforms the training process:
 
-🚀 Features of This Space
+> **Text-based reasoning** → **Filter textual surrogates** → **Keep acoustic-grounded chains** → **Native Audio Think**
 
-Tab
+This iterative process teaches the model to reason over **actual acoustic features** instead of text transcripts.
 
-Content
+---
 
-🏠 Introduction
+## 📊 Performance
 
-Overview of audio reasoning and key achievements
+Step-Audio-R1 achieves remarkable results in the audio domain:
 
-🧠 Reasoning Types
+* ✅ **Surpasses Gemini 2.5 Pro** on comprehensive audio benchmarks.
+* ✅ **Comparable to Gemini 3 Pro** (state-of-the-art).
+* ✅ **First successful test-time compute scaling** for audio.
 
-Interactive explorer for 5 types of audio reasoning
+---
 
-🚫 The Problem
+## 📚 Resources
 
-Understanding the inverted scaling anomaly
+* 📄 **Step-Audio-R1 Paper**
+* 💻 **GitHub Repository**
+* 🤗 **HuggingFace Collection**
+* 🎯 **Official Demo**
 
-🔬 MGRD Solution
+---
 
-How Modality-Grounded Reasoning Distillation works
+## 👤 Author
 
-🏗️ Architecture
+**Mehmet Tuğrul Kaya**
 
-Step-Audio-R1 model architecture breakdown
+* 🐙 **GitHub:** [@mtkaya](https://github.com/mtkaya)
+* 🤗 **HuggingFace:** [tugrulkaya](https://huggingface.co/tugrulkaya)
 
-📊 Benchmarks
+### 📝 Citation
 
-Performance comparisons and results
-
-🎮 Interactive Demo
-
-Simulated audio reasoning examples
-
-🚀 Applications
-
-Real-world use cases
-
-📚 Resources
-
-Papers, code, and references
-
-🔬 Key Innovation: MGRD
-
-Modality-Grounded Reasoning Distillation (MGRD) is the core innovation that makes Step-Audio-R1 work:
-
-Text-based reasoning → Filter textual surrogates → Keep acoustic-grounded chains → Native Audio Think
-
-
-This iterative process teaches the model to reason over actual acoustic features instead of text transcripts.
-
-📊 Performance
-
-Step-Audio-R1 achieves:
-
-✅ Surpasses Gemini 2.5 Pro on comprehensive audio benchmarks
-
-✅ Comparable to Gemini 3 Pro (state-of-the-art)
-
-✅ First successful test-time compute scaling for audio
-
-📚 Resources
-
-📄 Step-Audio-R1 Paper
-
-💻 GitHub Repository
-
-🤗 HuggingFace Collection
-
-🎯 Official Demo
-
-👤 Author
-
-Mehmet Tuğrul Kaya
-
-🐙 GitHub: @mtkaya
-
-🤗 HuggingFace: tugrulkaya
-
-📝 Citation
+If you find this work useful, please cite the original paper:
 
+```bibtex
 @article{stepaudioR1,
   title={Step-Audio-R1 Technical Report},
   author={Tian, Fei and others},
   journal={arXiv preprint arXiv:2511.15848},
   year={2025}
-}
-
-
-<p align="center">
-<b>�� Sound Speaks, AI Listens and Thinks 🧠</b>
-</p>
+}