Linjun Zhang @linjunz_stat
Assistant Professor of Statistics @RutgersU New Brunswick, NJ Joined March 2016-
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Linjun Zhang retweeted
🚀 One month left to submit to Agents4Science! 🤖 AI as primary author + reviewer 🤖 Human co-authors welcome. All submissions/reviews public for transparent study. 💡We expect AI will make mistakes - and it will be instructive to study these openly!
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Linjun Zhang retweeted
🤖Introducing: CoT-Self-Instruct 🤖 📝: arxiv.org/abs/2507.23751 - Builds high-quality synthetic data via reasoning CoT + quality filtering - Gains on reasoning tasks: MATH500, AMC23, AIME24 & GPQA-💎 - Outperforms existing train data s1k & OpenMathReasoning - Gains on…
Linjun Zhang retweeted
📢New conference where AI is the primary author and reviewer! agents4science.stanford.edu Current venues don't allow AI-written papers, so it's hard to assess the +/- of such works🤔 #Agents4Science solicits papers where AI is the main author w/ human advisors. 💡Initial reviews by…
Linjun Zhang retweeted
Our new #ICML2025 paper formulates #LLM hallucination as hypothesis testing to provide statistical guarantees on factuality. #FactTest is a distribution free and model agnostic approach to improve LLM accuracy. Great job @FanNie1208 Xiaotian Hou, Shuhang Lin @HuaxiuYaoML…
Our new #ICML2025 paper formulates #LLM hallucination as hypothesis testing to provide statistical guarantees on factuality. #FactTest is a distribution free and model agnostic approach to improve LLM accuracy. Great job @FanNie1208 Xiaotian Hou, Shuhang Lin @HuaxiuYaoML…
Linjun Zhang retweeted
🚨 New Paper 🚨 An Overview of Large Language Models for Statisticians 📝: arxiv.org/abs/2502.17814 - Dual perspectives on Statistics ➕ LLMs: Stat for LLM & LLM for Stat - Stat for LLM: How statistical methods can improve LLM uncertainty quantification, interpretability,…
Linjun Zhang retweeted
💀 Introducing RIP: Rejecting Instruction Preferences💀 A method to *curate* high quality data, or *create* high quality synthetic data. Large performance gains across benchmarks (AlpacaEval2, Arena-Hard, WildBench). Paper 📄: arxiv.org/abs/2501.18578
Linjun Zhang retweeted
New data selection & synthetic data creation method can dramatically improve model performance by filtering out 77% training examples!
New data selection & synthetic data creation method can dramatically improve model performance by filtering out 77% training examples!
Linjun Zhang retweeted
Very excited to give a short course on large language models at #JSM2024 in Portland! w/ Emily Getzen and @linjunz_stat AI for Stat and Stat for AI! @AmstatNews
Linjun Zhang retweeted
I am happy to share that I will be on the job market for the 2024–2025 cycle. I sincerely appreciate the support and guidance of my mentors and collaborators over the past few years. Here is my website: maxineyu.github.io/personal_web/ Please feel free to reach out to me to discuss any…
Linjun Zhang retweeted
📢Excited to share our approach called Calibrated Self-Rewarding Vision Language Models (CSR)🌟! With no need for labeled data, a VLM can get stronger by itself with visual constraints. Discover how CSR enhances VLMs through self-improvement with visual constraints:…
Linjun Zhang retweeted
🎉Excited to share our new paper:"What Should Data Science Education Do With Large Language Models?" featured in @TheHDSR hdsr.mitpress.mit.edu/pub/pqiufdew A huge shoutout to my co-authors(@linjunz_stat, @weijie444, @james_y_zou) and Editor @XiaoLiMeng1 for their invaluable contributions
Linjun Zhang retweeted
How can #DataScience incorporate #LLMs into its practice and education? We discuss this in-depth in a new paper in Harvard Data Science Review @TheHDSR hdsr.mitpress.mit.edu/pub/pqiufdew/r… We show how #ChatGPT can simplify common data-wrangling, analyses + viz. In turn, data scientists need…
Linjun Zhang retweeted
🚨New paper!🚨 Self-Rewarding LMs - LM itself provides its own rewards on own generations via LLM-as-a-Judge during Iterative DPO - Reward modeling ability improves during training rather than staying fixed ...opens the door to superhuman feedback? arxiv.org/abs/2401.10020 🧵(1/5)
Linjun Zhang retweeted
I am on the job market now. My research interests lie broadly in ML and data systems, with a recent focus on efficient and trustworthy ML-as-a-service and foundation model marketplace. I would love to hear about any opportunities that could be a good fit!
Linjun Zhang retweeted
I am at #NeurIPS2023 now. I am also on the academic job market, and humbled to be selected as a 2023 EECS Rising Star✨. I work on ML security, privacy & data transparency. Appreciate any reposts & happy to chat in person! CV+statements: tinyurl.com/yangsibo Find me at ⬇️
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