
Cong (Clarence) Jiang
249 posts

Cong (Clarence) Jiang
@statsCong
Postdoctoral researcher at HSPH 🎓 | PhD in Statistics & Actuarial Science from @UWaterloo | Connect with me on my website ⬇️ https://t.co/TWEi3p0e4e




Prediction-Powered Inference with Inverse Probability Weighting ift.tt/7wfu4qJ


Introducing 💡On-Policy Self-Distillation💡, a simple method that enables LLM to teach itself with dense per-token feedback on its own on-policy generations—achieving 4-8x more token efficiency vs. GRPO and outperforming both GRPO and SFT/Off-Policy Distillation. Key insight: like a student reviewing solutions, rationalizing them, and correcting prior mistakes, an LLM can be conditioned on privileged info (e.g., correct solution or a reasoning trace) and supervise its weaker self—the version without such access—by matching the privileged-info-induced distribution from itself. 🌐Blog: siyan-zhao.github.io/blog/2026/opsd/ 🧵👇

Canada is investing over $130 million to recruit top researchers from abroad, with up to 1 million/year in research funding.🚀 📢Also: 600 doctoral scholarships and 400 postdoctoral research awards! Join us at UToronto: jobs.utoronto.ca/job/Toronto-Ca… @UofT @VectorInst @TorontoSRI


#J_Epidemi Advanced Publication: The Claims data Learning & Enhancing for Algorithm Refinement (CLEAR) Study: Overview of the Study Design and Baseline Profile Haruhisa Fukuda et al. doi.org/10.2188/jea.JE… @J_Epidemi @LIFE_STUDY_PR
















