Anji Liu @anjiliu.bsky.social · 02/05/2026🚀 Excited to present our paper "Rethinking Probabilistic Circuit Parameter Learning" at AISTATS tomorrow! What are the key bottlenecks in optimizing 𝒕𝒓𝒂𝒄𝒕𝒂𝒃𝒍𝒆 probabilistic models like Probabilistic Circuits? Can we design "Adam-equivalent" optimizers for these structures? 192
Anji Liu @anjiliu.bsky.social · 04/03/2026Check out our recent work offering a principled way to perform parallel prediction (few-step generation) in Diffusion LLMs with minimal performance degradation! 020
Anji Liu @anjiliu.bsky.social · 17/05/2025🎓 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, 2025liuanji.github.ioAnji LiuIncoming Assistant Professor at NUS working on tractable deep generative models. 0209
Reposted by Anji LiuZilei Shao @zoeshao.bsky.social · 11/03/2025What 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 64815
Anji Liu @anjiliu.bsky.social · 13/02/2025Want 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 👇 0154
Reposted by Anji LiuEleonora Giunchiglia @e-giunchiglia.bsky.social · 05/02/2025🚀 Fully funded PhD in Neurosymbolic AI for Finance 💰🤖 🔍 Work at Imperial College London on cutting-edge AI for financial applications! [1/3] 1105