Update README.md

README.md

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 # MAAP LAB 🎵 — Music AI & Audio Research
-> “Why are there so few labs in Korea dedicated to Music AI? We built one.”
+> “Music AI Assemble People, MAAP!”
 
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 ## Mission
-Advance the foundations of **Music AI** through practical research in tagging, generation, and dataset-centric methods — then share our results openly with the community. ✨
+Advance the foundations of **Music AI** through practical research, then share our results openly with the community. ✨
 
 ## Open Science
 We aim to publish at top venues (e.g., **ICASSP**, **ISMIR**, **AAAI**) and release code, models, and datasets whenever possible. 📢
@@ -37,18 +37,24 @@ We aim to publish at top venues (e.g., **ICASSP**, **ISMIR**, **AAAI**) and rele
 
 ## Our Activities 🎯
 
-### Project 1 — Music Tagging (Completed) 🏷️
+<details>
+<summary>Project 1 — Music Tagging (Completed)🏷️</summary>
+
+###  
 - Built a tagging & augmentation pipeline with **CLAP**, **Beam Search**, **Stable Audio**  
 - Focus: dataset **augmentation/creation** for future work  
 - Targets: short-term **word generation** → long-term **sentence generation** with **LLMs**  
 - **Outcome:** 2 **NeurIPS Workshop submissions** (1 accepted, 1 rejected → resubmitted to ICASSP)  
 <sub>[AIBA — Accepted ✅](#) · [Jamendo-QA — Arxiv 🔗](https://arxiv.org/abs/2509.15662)</sub>
+</details>
+
+### Project 2 - Self Supervised Learning (On going)
+
+### Project 3 - Music Generation with Reinforcement Learning (On going)
+
+### Project 4 - Pitch Estimation (On going)
 
-### Project 2 — Efficient Music Generation (In Progress) 🎶
-- Exploring **Diffusion** & **DiT (e.g., Flux)**  
-- **LoRA/Adapters** to avoid full fine-tuning  
-- Goal: robust generation for **data-scarce** genres/instruments/domains  
-- Roadmap: dataset curation → baseline reproduction → adapter experiments → ablations → release
+### Project 5 - Extending QA Dataset (On going)
 
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