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Yong Zheng-Xin (Yong)

@yongzx.bsky.social
66 followers 80 following 14 posts

ml research at Brown University // collab at Meta AI and Cohere For AI 🔗 yongzx.github.io

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Reposted by Yong Zheng-Xin (Yong)
Cohere Labs @cohereforai.bsky.social · 03/06/2025
It’s been two years since cross-lingual jailbreaks were first discovered. How far has the multilingual LLM safety research field advanced? 🤔 📏 Our comprehensive survey reveals that there is still a long way to go.
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Reposted by Yong Zheng-Xin (Yong)
Julia Kreutzer @juliakreutzer.bsky.social · 04/06/2025
🚨LLM safety research needs to be at least as multilingual as our models. What's the current stage and how to progress from here? This work led by @yongzx.bsky.social has answers! 👇
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Reposted by Yong Zheng-Xin (Yong)
faridlazuarda.bsky.social @faridlazuarda.bsky.social · 10/05/2025
Can English-finetuned LLMs reason in other languages? Short Answer: Yes, thanks to “quote-and-think” + test-time scaling. You can even force them to reason in a target language! But: 🌐 Low-resource langs & non-STEM topics still tough. New paper: arxiv.org/abs/2505.05408
arxiv.org
Crosslingual Reasoning through Test-Time Scaling
Reasoning capabilities of large language models are primarily studied for English, even when pretrained models are multilingual. In this work, we investigate to what extent English reasoning finetunin...
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Reposted by Yong Zheng-Xin (Yong)
Julia Kreutzer @juliakreutzer.bsky.social · 09/05/2025
Multilingual 🤝reasoning 🤝 test-time scaling 🔥🔥🔥 New preprint! @yongzx.bsky.social has all the details 👇
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Yong Zheng-Xin (Yong) @yongzx.bsky.social · 09/05/2025
📣 New paper! We observe that reasoning language models finetuned only on English data are capable of zero-shot cross-lingual reasoning through a "quote-and-think" pattern. However, this does not mean they reason the same way across all languages or in new domains. [1/N]
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