Our paper on multilingual reasoning is accepted to Findings of #EMNLP2025! 🎉 (OA: 3/3/3.5/4)
We show SOTA LMs struggle with reasoning in non-English languages; prompt-hack & post-training improve alignment but trade off accuracy.
📄 arxiv.org/abs/2505.22888
See you in Suzhou!
Our paper on multilingual reasoning is accepted to Findings of #EMNLP2025! 🎉 (OA: 3/3/3.5/4)
We show SOTA LMs struggle with reasoning in non-English languages; prompt-hack & post-training improve alignment but trade off accuracy.
📄 arxiv.org/abs/2505.22888
See you in Suzhou!
What precision should we use to train large AI models effectively? Our latest research probes the subtle nature of training instabilities under low precision formats like MXFP8 and ways to mitigate them. Thread 🧵👇
‼️ 1/n
Ask your reasoning model to think in lower resource language does degrade models’ performance at the moment.
My awesome Co-author already communicated the main points in the thread, I will just communicate some random things we learned in my 🧵
‼️ 1/n
Ask your reasoning model to think in lower resource language does degrade models’ performance at the moment.
My awesome Co-author already communicated the main points in the thread, I will just communicate some random things we learned in my 🧵
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10K Followers 2K Followingpostdoc @Oxford_VGG 🇬🇧 | 3D Gen AI | PhD alum @KaustVision 🇸🇦@TU_Muenchen 🇩🇪 | @fihmai founder | my @tedX talk about AI inequality: https://t.co/Y24DtOsASJ
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to love math is to see the face of God
Morgan Prize, Rhodes Scholar
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