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README.md

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 # SeaLLMs - Large Language Models for Southeast Asia
 
-Welcome to the Huggingface organization that hosts SeaLLMs - a family of language models optimized for Southeast Asian languages. 
-Rather than being focused on English and alike, we believe language models should be democratized to other regional and possibly under-represented languages, 
-and adapted to serve communities there with a greater awareness of local norms and laws.
+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.
+
 
 ## SeaLLMs Models
 
+- \[🔥NEW🔥\] [SeaLLMs/SeaLLM3-7B-Chat](https://huggingface.co/SeaLLMs/SeaLLM3-7B-Chat): Latest chat version of SeaLLM3, achieving SOTA performance of diverse tasks while specifically enhanced to be more trustworthy, exhibiting reduced hallucination and providing safe response. Try the model from the [demo](https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat)!
 - [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🇲🇲.
-- [SeaLLMs/Sea-bench](https://huggingface.co/datasets/SeaLLMs/Sea-bench) (interactive view at [Spaces/SeaLLMs/Sea-bench](https://huggingface.co/spaces/SeaLLMs/Sea-bench)): A benchmark for evaluating chat assistants in Southeast Asian languages.
 
-## DEMO
-- [spaces/SeaLLMs/SeaLLM-7B-v2.5](https://huggingface.co/spaces/SeaLLMs/SeaLLM-7B-v2.5).
-- [spaces/SeaLLMs/SeaLLM-7B-v2](https://huggingface.co/spaces/SeaLLMs/SeaLLM-7B-v2).
-- [spaces/SeaLLMs/SeaLLM-7B](https://huggingface.co/spaces/SeaLLMs/SeaLLM-7B) -  Multimodal SeaLLM (experimental)
+## 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.
+
+## Quick Links
+- [SeaLLM-Chatbot](https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat): online demo for the latest chatbot version of SeaLLMs
+- [SeaLLMs Github Repo](https://github.com/DAMO-NLP-SG/SeaLLMs)
+- [SeaLLMs Paper](https://arxiv.org/abs/2312.00738) (ACL 2024 Demo)