Dou, L., Liu, Q., Zhou, F., Chen, C., Wang, Z., Jin, Z., Liu, Z., Zhu, T., Du, C., Yang, P., Wang, H., Liu, J., Zhao, Y., Feng, X., Mao, X., Yeung, M. T., Pipatanakul, K., Koto, F., Thu, M. S., … Lin, M. (2025). Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLM. arXiv:2502.12982. https://arxiv.org/abs/2502.12982
@unpublished{sailor2report,
title = {{Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLM}},
author = {Dou, Longxu and Liu, Qian and Zhou, Fan and Chen, Changyu and Wang, Zili and Jin, Ziqi and Liu, Zichen and Zhu, Tongyao and Du, Cunxiao and Yang, Penghui and Wang, Haonan and Liu, Jiaheng and Zhao, Yongchi and Feng, Xiachong and Mao, Xin and Yeung, Man Tsung and Pipatanakul, Kunat and Koto, Fajri and Thu, Min Si and Kydl{\'\i}{\v{c}}ek, Hynek and Liu, Zeyi and Lin, Qunshu and Sripaisarnmongkol, Sittipong and Sae-Khow, Kridtaphad and Thongchim, Nirattisai and Konkaew, Taechawat and Borijindargoon, Narong and Dao, Anh and Maneegard, Matichon and Artkaew, Phakphum and Yong, Zheng-Xin and Nguyen, Quan and Phatthiyaphaibun, Wannaphong and Tran, Hoang H. and Zhang, Mike and Chen, Shiqi and Pang, Tianyu and Du, Chao and Wan, Xinyi and Lu, Wei and Lin, Min},
year = {2025},
eprint = {2502.12982},
archiveprefix = {arXiv},
primaryclass = {cs.CL},
url = {https://arxiv.org/abs/2502.12982},
note = {arXiv:2502.12982},
arxiv = {2502.12982}
}
Sailor2 is a family of cutting-edge multilingual language models for South-East Asian (SEA) languages, available in 1B, 8B, and 20B sizes to suit diverse applications. Building on Qwen2.5, Sailor2 undergoes continuous pre-training on 500B tokens (400B SEA-specific and 100B replay tokens) to support 13 SEA languages while retaining proficiency in Chinese and English. Sailor2-20B model achieves a 50-50 win rate against GPT-4o across SEA languages. We also deliver a comprehensive cookbook on how to develop the multilingual model in an efficient manner, including five key aspects: data curation, pre-training, post-training, model customization and evaluation. We hope that Sailor2 model (Apache 2.0 license) will drive language development in the SEA region, and Sailor2 cookbook will inspire researchers to build more inclusive LLMs for other under-served languages.
Wang, X., Li, B., Song, Y., Xu, F. F., Tang, X., Zhuge, M., Pan, J., Song, Y., Li, B., Singh, J., Tran, H. H., Li, F., Ma, R., Zheng, M., Qian, B., Shao, Y., Muennighoff, N., Zhang, Y., Hui, B., … Neubig, G. (2024). OpenHands: An Open Platform for AI Software Developers as Generalist Agents. arXiv:2407.16741. https://arxiv.org/abs/2407.16741
@unpublished{openhands,
title = {{OpenHands: An Open Platform for AI Software Developers as Generalist Agents}},
author = {Wang, Xingyao and Li, Boxuan and Song, Yufan and Xu, Frank F. and Tang, Xiangru and Zhuge, Mingchen and Pan, Jiayi and Song, Yueqi and Li, Bowen and Singh, Jaskirat and Tran, Hoang H. and Li, Fuqiang and Ma, Ren and Zheng, Mingzhang and Qian, Bill and Shao, Yanjun and Muennighoff, Niklas and Zhang, Yizhe and Hui, Binyuan and Lin, Junyang and Brennan, Robert and Peng, Hao and Ji, Heng and Neubig, Graham},
year = {2024},
eprint = {2407.16741},
archiveprefix = {arXiv},
primaryclass = {cs.SE},
url = {https://arxiv.org/abs/2407.16741},
note = {arXiv:2407.16741},
arxiv = {2407.16741}
}
Software is one of the most powerful tools that we humans have at our disposal; it
allows a skilled programmer to interact with the world in complex and profound ways. At the
same time, thanks to improvements in large language models (LLMs), there has also been a rapid
development in AI agents that interact with and affect change in their surrounding
environments. In this paper, we introduce OpenHands (f.k.a. OpenDevin), a platform for the
development of powerful and flexible AI agents that interact with the world in similar ways to
those of a human developer: by writing code, interacting with a command line, and browsing the
web. We describe how the platform allows for the implementation of new agents, safe
interaction with sandboxed environments for code execution, coordination between multiple
agents, and incorporation of evaluation benchmarks. Based on our currently incorporated
benchmarks, we perform an evaluation of agents over 15 challenging tasks, including software
engineering (e.g., SWE-BENCH) and web browsing (e.g., WEBARENA), among others. Released under
the permissive MIT license, OpenHands is a community project spanning academia and industry
with more than 2.1K contributions from over 188 contributors.