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 Welcome to the SeaLLMs project - a family of large language models tailored for Southeast Asian languages including English, Chinese, Indonesian, Vietnamese, Thai, Tagalog, Malay, Burmese, Khmer, Lao, Tamil, and Javanese. 
 
-Unlike models primarily designed for high-resource languages like English, our mission is to democratize access to advanced language technologies for regional and potentially under-represented languages.
-We aim to develop models capable of handling a variety of tasks in SEA languages, while prioritizing safety and trustworthiness within the regional context.
+Unlike models primarily designed for high-resource languages like English, our mission is to democratize access to advanced language technologies for regional and potentially under-represented languages,
+while prioritizing safety and trustworthiness within the regional context.
 
+## ☄️ What's New?
+After the release of SeaLLMs-v3, we've focused on extending along two directions: language coverage and multimodal support. We are happy to share:
+
+- [Babel](https://babel-llm.github.io/babel-llm/): a multilingual LLM that covers the top 25 languages by number of speakers, supports over 90% of the global population
+- [SeaLLMs-Audio](https://damo-nlp-sg.github.io/SeaLLMs-Audio/): the multimodal (audio) extension of SeaLLMs and the first large audio-language model designed to support multiple Southeast Asian languages
 
 ## SeaLLMs Models
 
-- \[🔥NEW🔥\] SeaLLMs-v3 is here! Try the model from the [demo](https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat)!
-  -  <strong style="color: red">[SeaLLMs/SeaLLMs-v3-7B-Chat](https://huggingface.co/SeaLLMs/SeaLLM3-7B-Chat)</strong>: Latest 7B chat version of SeaLLMs-v3, achieving SOTA performance of diverse tasks while specifically enhanced to be more trustworthy, exhibiting reduced hallucination and providing safe response.
-  -  <strong style="color: red">[SeaLLMs/SeaLLMs-v3-1.5B-Chat](https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B-Chat)</strong>: Latest 1.5B chat version of SeaLLMs-v3, specifically fine-tuned to follow human instructions effectively. It is designed to be resource-efficient, making it suitable for use even on your laptop.
-  -  <strong style="color: red">[SeaLLMs/SeaLLMs-v3-1.5B](https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B)</strong> and <strong style="color: red">[SeaLLMs/SeaLLMs-v3-7B](https://huggingface.co/SeaLLMs/SeaLLMs-v3-7B)</strong>: two base version models for you further conducting customized fine-tuning with your own data.
+- SeaLLMs-v3: The latest version of the SeaLLMs family, achieving SOTA performance of diverse tasks while specifically enhanced to be more trustworthy, available in multiple variants: [7B-Chat](https://huggingface.co/SeaLLMs/SeaLLM3-7B-Chat), [1.5B-Chat](https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B-Chat), [1.5B-base](https://huggingface.co/SeaLLMs/SeaLLMs-v3-1.5B) and [7B-base](https://huggingface.co/SeaLLMs/SeaLLMs-v3-7B).
 - [SeaLLMs/SeaLLM-7B-v2.5](https://huggingface.co/SeaLLMs/SeaLLM-7B-v2.5): New SeaLLM-7B model with 7B-SOTA on many world knowledge and reasoning tasks in SEA languages.
 - [SeaLLMs/SeaLLM-7B-v2](https://huggingface.co/SeaLLMs/SeaLLM-7B-v2): The most significant upgrade since SeaLLM-13B with half the size, outperforming performance across diverse multilingual tasks, from world knowledge, math reasoning, instruction following, etc.
 - [SeaLLMs/SeaLLM-13B-Chat](https://huggingface.co/SeaLLMs/SeaLLM-13B-Chat): A chatbot optimized for Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer🇰🇭, Lao🇱🇦, Tagalog🇵🇭 and Burmese🇲🇲.
 
 ## Multilingual Evaluations for SEA
-- [SeaExam](https://huggingface.co/spaces/SeaLLMs/SeaExam_leaderboard): assesses model performance using human-exam type benchmarks, reflecting the model's world knowledge and reasoning abilities.
+- [LLM Leaderboard for Southeast Asian Languages](https://huggingface.co/spaces/SeaLLMs/LLM_Leaderboard_for_SEA): evaluates LLMs on Southeast Asian languages through two comprehensive benchmarks - SeaExam and SeaBench
+- SeaExam assesses world knowledge and reasoning capabilities through exam-style questions (for both base and chat version models) [data (public)](https://huggingface.co/datasets/SeaLLMs/SeaExam) [eval code](https://github.com/DAMO-NLP-SG/SeaExam)
+- SeaBench evaluates instruction-following abilities and multi-turn conversational skills (thus only for chat version models). [data (public)](https://huggingface.co/datasets/SeaLLMs/SeaBench) [eval code](https://github.com/DAMO-NLP-SG/SeaBench)
 
 ## Quick Links
-- [SeaLLM-Chatbot](https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat): online demo for the latest chatbot version of SeaLLMs
+- [Project Page](https://damo-nlp-sg.github.io/DAMO-SeaLLMs/): project page that contains link to everything you need
+- [SeaLLM-Chatbot](https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat): online demo for the latest chatbot version of SeaLLMs (currently SeaLLMs-v3-7B-chat)
 - [SeaLLMs Github Repo](https://github.com/DAMO-NLP-SG/SeaLLMs)
 - [SeaLLMs Paper](https://arxiv.org/abs/2312.00738) (ACL 2024 Demo)
-- \[🔥NEW🔥\] [SeaLLMs 3 Paper](https://arxiv.org/abs/2407.19672) with model training details and evaluation results!
+- [SeaLLMs 3 Paper](https://arxiv.org/abs/2407.19672) (NAACL 2025 Demo)