Zhiyong Wang
@Zhiyong16403503
Postdoc at Edinburgh, Ph.D. at CUHK. Former Visiting Scholar at Cornell. Working on reinforcement learning and multi-armed bandits.
Excited to announce our NeurIPS ’25 tutorial: Foundations of Imitation Learning: From Language Modeling to Continuous Control With Adam Block & Max Simchowitz (@max_simchowitz)
MSR NYC is hiring spring and summer interns in AI/ML/RL!
New in the #DeeperLearningBlog: @GaoZhaolin and collaborators including the #KempnerInstitute's Kianté Brantley presents a powerful new #RL algorithm tailored for reasoning tasks with #LLMs that updates using only one generation per prompt. bit.ly/44US1Mt @xkianteb #AI
![KempnerInst's tweet card. Recent LLM advances show the effectiveness of RL with rule-based rewards, but methods like GRPO and PPO are costly due to critics or multiple generations per prompt. We propose a […]](https://pbs.twimg.com/card_img/1976305026630025219/tPFo4QA-?format=png&name=orig)
Delighted to announce that the 2nd edition of our workshop has been accepted to #NeurIPS2025! We have an amazing lineup of speakers: @WenSun1, @ajwagenmaker, @yayitsamyzhang, @MengdiWang10, @nanjiang_cs, Alessandro Lazaric, and a special guest!
How can small LLMs match or even surpass frontier models like DeepSeek R1 and o3 Mini in math competition (AIME & HMMT) reasoning? Prior work seems to suggest that ideas like PRMs do not really work or scale well for long context reasoning. @kaiwenw_ai will reveal how a novel…
I’m presenting two papers on value-based RL for post-training & reasoning on Friday at @ai4mathworkshop at #ICML2025! 1️⃣ Q#: lays theoretical foundations for value-based RL for post-training LMs; 2️⃣ VGS: practical value-guided search scaled up for long CoT reasoning. 🧵👇
Happy to share our work "Provable Zero-Shot Generalization in Offline Reinforcement Learning" at ICML 2025! 📍 Poster | 🗓️July 16, 11:00 AM – 1:30 PM 📌 West Exhibition Hall B2-B3 #W-1012 🤖 How can offline RL agents generalize zero-shot to unseen environments? We introduce…
Does RL actually learn positively under random rewards when optimizing Qwen on MATH? Is Qwen really that magical such that even RLing on random rewards can make it reason better? Following prior work on spurious rewards on RL, we ablated algorithms. It turns out that if you…
Recent work has seemed somewhat magical: how can RL with *random* rewards make LLMs reason? We pull back the curtain on these claims and find out this unexpected behavior hinges on the inclusion of certain *heuristics* in the RL algorithm. Our blog post: tinyurl.com/heuristics-con…
Curious how to combine federated learning and in-context learning for QA tasks — with privacy preservation, efficiency, and boosting performance round by round? 🚀 Meet Fed-ICL — our framework collaboratively refines answers without transmitting model weights or sharing raw…
Tired of over-optimized generations that stray too far from the base distribution? We present SLCD: Supervised Learning based Controllable Diffusion, which (provably) solves the KL constrained reward maximization problem for diffusion through supervised learning! (1/n)
by incorporating self-consistency during offline RL training, we unlock three orthogonal directions of scaling: 1. efficient training (i.e. limit backprop through time) 2. expressive model classes (e.g. flow matching) 3. inference-time scaling (sequential and parallel) which,…
I won't be at #ICLR2025 myself this time around but please go talk to lead authors @nico_espinosa_d, @GaoZhaolin, and @runzhe_wu about their bleeding-edge algorithms for imitation learning and RLHF!
Heading to #ICLR2025 🇸🇬! Excited to connect with friends and chat about RL: theory, LLM reasoning and robotics! I will present our Oral paper on LLM self-improvement📍4:18pm Sat. Join me if you want to learn about its scaling laws, iterative training and test-time improvement.
What is the place of exploration in today's AI landscape and in which settings can exploration algorithms address current open challenges? Join us to discuss this at our exciting workshop at @icmlconf 2025: EXAIT! exait-workshop.github.io #ICML2025
I think of misspecification (embodiment / sensory gaps) as the fundamental reason behavioral cloning isn't "all you need" for imitation as matching actions != matching outcomes. Introducing @nico_espinosa_d's #ICLR2025 paper proving that "local search" *is* all you need! [1/n]
![g_k_swamy's tweet image. I think of misspecification (embodiment / sensory gaps) as the fundamental reason behavioral cloning isn't "all you need" for imitation as matching actions != matching outcomes. Introducing @nico_espinosa_d's #ICLR2025 paper proving that "local search" *is* all you need! [1/n]](https://pbs.twimg.com/media/Gn8bN0iWcAEQmJZ.jpg)
Meet the recipients of the 2024 ACM A.M. Turing Award, Andrew G. Barto and Richard S. Sutton! They are recognized for developing the conceptual and algorithmic foundations of reinforcement learning. Please join us in congratulating the two recipients! bit.ly/4hpdsbD
🚀 Rising Star Workshops for Junior/Senior PhDs, and Postdocs! 🌟 Don't miss these career-boosting opportunities! notion.so/List-of-Rising… Please share with your peers, students, and anyone who might benefit! #PhD #Postdoc #Academia #RisingStars
There are multiple postdoc positions available as part of an exciting new AI-agent initiative at Columbia that tackles challenges at the frontier of agentic systems and sequential decision-making. I am not very active here so please help me spread the word!
Extremely honored to receive this award. Credit goes to my collaborators, mentors, and especially my amazing students! #SloanFellow
🎉Congrats to the 126 early-career scientists who have been awarded a Sloan Research Fellowship this year! These exceptional scholars are drawn from 51 institutions across the US and Canada, and represent the next generation of groundbreaking researchers. sloan.org/fellowships/20…
List of accepted papers for AISTATS 2025 is now available. aistats.org/aistats2025/ Congratulations to the authors and thanks to the reviewers, AC, and SACs for their help. Thanks to my co-chair @ashipra & workflow chairs: Christopher Anders (RIKEN) & Tingting Ou (Columbia).
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