Anji Liu
@anjiliu.bsky.social
Assistant Professor (Presidential Young Professor, PYP) at the National University of Singapore (NUS).
https://liuanji.github.io/
https://liuanji.github.io/
🎓 Looking for PhD students, postdocs & interns!
I’m recruiting for my new lab at NUS School of Computing, focusing on generative modeling, reasoning, and tractable inference.
💡 Interested? Learn more here: liuanji.github.io
🗓️ PhD application deadline: June 15, 2025
I’m recruiting for my new lab at NUS School of Computing, focusing on generative modeling, reasoning, and tractable inference.
💡 Interested? Learn more here: liuanji.github.io
🗓️ PhD application deadline: June 15, 2025
Anji Liu
Incoming Assistant Professor at NUS working on tractable deep generative models.
liuanji.github.io
May 17, 2025 at 5:26 PM
🎓 Looking for PhD students, postdocs & interns!
I’m recruiting for my new lab at NUS School of Computing, focusing on generative modeling, reasoning, and tractable inference.
💡 Interested? Learn more here: liuanji.github.io
🗓️ PhD application deadline: June 15, 2025
I’m recruiting for my new lab at NUS School of Computing, focusing on generative modeling, reasoning, and tractable inference.
💡 Interested? Learn more here: liuanji.github.io
🗓️ PhD application deadline: June 15, 2025
Reposted by Anji Liu
What happens if we tokenize cat as [ca, t] rather than [cat]?
LLMs are trained on just one tokenization per word, but they still understand alternative tokenizations. We show that this can be exploited to bypass safety filters without changing the text itself.
#AI #LLMs #tokenization #alignment
LLMs are trained on just one tokenization per word, but they still understand alternative tokenizations. We show that this can be exploited to bypass safety filters without changing the text itself.
#AI #LLMs #tokenization #alignment
March 11, 2025 at 11:13 PM
What happens if we tokenize cat as [ca, t] rather than [cat]?
LLMs are trained on just one tokenization per word, but they still understand alternative tokenizations. We show that this can be exploited to bypass safety filters without changing the text itself.
#AI #LLMs #tokenization #alignment
LLMs are trained on just one tokenization per word, but they still understand alternative tokenizations. We show that this can be exploited to bypass safety filters without changing the text itself.
#AI #LLMs #tokenization #alignment
Want to turn your state-of-the-art diffusion models into ultra-fast few-step generators? 🚀
Learn how to optimize your time discretization strategy—in just ~10 minutes! ⏳✨
Check out how it's done in our Oral paper at ICLR 2025 👇
Learn how to optimize your time discretization strategy—in just ~10 minutes! ⏳✨
Check out how it's done in our Oral paper at ICLR 2025 👇
🚀 Exciting news! Our paper "Learning to Discretize Diffusion ODEs" has been accepted as an Oral at #ICLR2025! 🎉
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We propose LD3, a lightweight framework that learns the optimal time discretization for sampling from pre-trained Diffusion Probabilistic Models (DPMs).
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We propose LD3, a lightweight framework that learns the optimal time discretization for sampling from pre-trained Diffusion Probabilistic Models (DPMs).
February 13, 2025 at 8:44 AM
Want to turn your state-of-the-art diffusion models into ultra-fast few-step generators? 🚀
Learn how to optimize your time discretization strategy—in just ~10 minutes! ⏳✨
Check out how it's done in our Oral paper at ICLR 2025 👇
Learn how to optimize your time discretization strategy—in just ~10 minutes! ⏳✨
Check out how it's done in our Oral paper at ICLR 2025 👇
Reposted by Anji Liu
🚀 Fully funded PhD in Neurosymbolic AI for Finance 💰🤖
🔍 Work at Imperial College London on cutting-edge AI for financial applications!
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🔍 Work at Imperial College London on cutting-edge AI for financial applications!
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February 5, 2025 at 1:53 PM
🚀 Fully funded PhD in Neurosymbolic AI for Finance 💰🤖
🔍 Work at Imperial College London on cutting-edge AI for financial applications!
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🔍 Work at Imperial College London on cutting-edge AI for financial applications!
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