Jiarui Yao @ExplainMiracles
UIUC CS PhD, 24 Joined May 2023-
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Glad that our paper has been accepted to Neurips 2025! By gradient variance minimization (GVM), we balance the training data by difficulties and their contribution to the model. We achieve improvement on math reasoning. Please check the original post for more details.
Glad that our paper has been accepted to Neurips 2025! By gradient variance minimization (GVM), we balance the training data by difficulties and their contribution to the model. We achieve improvement on math reasoning. Please check the original post for more details.
(1/5) Super excited to release our new paper on Reinforcement Learning: "Self-Aligned Reward: Towards Effective and Efficient Reasoners"! Preprint: arxiv.org/pdf/2509.05489
🤝 Can LLM agents really understand us? We introduce UserBench: a user-centric gym environment for benchmarking how well agents align with nuanced human intent, not just follow commands. 📄 arxiv.org/pdf/2507.22034 💻 github.com/SalesforceAIRe…
(1/4)🚨 Introducing Goedel-Prover V2 🚨 🔥🔥🔥 The strongest open-source theorem prover to date. 🥇 #1 on PutnamBench: Solves 64 problems—with far less compute. 🧠 New SOTA on MiniF2F: * 32B model hits 90.4% at Pass@32, beating DeepSeek-Prover-V2-671B’s 82.4%. * 8B > 671B: Our 8B…
Reward models (RMs) are key to language model post-training and inference pipelines. But, little is known about the relative pros and cons of different RM types. 📰 We investigate why RMs implicitly defined by language models (LMs) often generalize worse than explicit RMs 🧵 1/6
🎥 Video is already a tough modality for reasoning. Egocentric video? Even tougher! It is longer, messier, and harder. 💡 How do we tackle these extremely long, information-dense sequences without exhausting GPU memory or hitting API limits? We introduce 👓Ego-R1: A framework…
Can LLMs make rational decisions like human experts? 📖Introducing DecisionFlow: Advancing Large Language Model as Principled Decision Maker We introduce a novel framework that constructs a semantically grounded decision space to evaluate trade-offs in hard decision-making…
(1/5) Want to make your LLM a skilled persuader? Check out our latest paper: "ToMAP: Training Opponent-Aware LLM Persuaders with Theory of Mind"! For details: 📄Arxiv: arxiv.org/pdf/2505.22961 🛠️GitHub: github.com/ulab-uiuc/ToMAP
📢 New Paper Drop: From Solving to Modeling! LLMs can solve math problems — but can they model the real world? 🌍 📄 arXiv: arxiv.org/pdf/2505.15068 💻 Code: github.com/qiancheng0/Mod… Introducing ModelingAgent, a breakthrough system for real-world mathematical modeling with LLMs.
How to improve the test-time scalability? - Separate thinking & solution phases to control performance under budget constraint - Budget-Constrained Rollout + GRPO - Outperforms baselines on math/code. - Cuts token 30% usage without hurting performance huggingface.co/papers/2505.05…
🚀 Can we cast reward modeling as a reasoning task? 📖 Introducing our new paper: RM-R1: Reward Modeling as Reasoning 📑 Paper: arxiv.org/pdf/2505.02387 💻 Code: github.com/RM-R1-UIUC/RM-… Inspired by recent advances of long chain-of-thought (CoT) on reasoning-intensive tasks, we…
We introduce Gradient Variance Minimization (GVM)-RAFT, a principled dynamic sampling strategy that minimizes gradient variance to improve the efficiency of chain-of-thought (CoT) training in LLMs. – Achieves 2–4× faster convergence than RAFT – Improves accuracy on math…
Thrilled to announce that our paper Sparse VideoGen got into #ICML2025! 🎉 Our new approach to speedup Video Generation by 2×. Details in the thread/paper. Huge thanks to my collaborators! Blog: svg-project.github.io Paper: arxiv.org/abs/2502.01776 Code:…
Thrilled to announce that our paper Sparse VideoGen got into #ICML2025! 🎉 Our new approach to speedup Video Generation by 2×. Details in the thread/paper. Huge thanks to my collaborators! Blog: svg-project.github.io Paper: arxiv.org/abs/2502.01776 Code:…
Welcome to join our Tutorial on Foundation Models Meet Embodied Agents, with @YunzhuLiYZ @maojiayuan @wenlong_huang ! Website: …models-meet-embodied-agents.github.io
Thrilled to share my first project at NVIDIA! ✨ Today’s language models are pre-trained on vast and chaotic Internet texts, but these texts are unstructured and poorly understood. We propose CLIMB — Clustering-based Iterative Data Mixture Bootstrapping — a fully automated…
Negative samples are "not that important", while removing samples with all negative outputs is "important". 🤣
Negative samples are "not that important", while removing samples with all negative outputs is "important". 🤣
🚀Can your language model think strategically? 🧠 SMART: Boosting LM self-awareness to reduce Tool Overuse & optimize reasoning! 🌐 arxiv.org/pdf/2502.11435 📊 github.com/qiancheng0/Ope… Smaller models, bigger brains. Smarter tool use, better results! 🔥 #AI #LLM
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Xingyuan Pan @XP_research
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Johan Obando-Ceron �... @johanobandoc
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Young @younqchan
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Zhanpeng Zhou @zhanpeng_zhou
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B @bbbb_bb_b
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Xuheng Li @xuhengli_
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MASSIL @Massilabatna
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Quanquan Gu @QuanquanGu
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558 Followers 1K Following CS PhD @Harvard @KempnerInst Automated Reasoning @AmazonScience Prev @mldcmu @ntusg
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377 Followers 737 Following guess how long ill stay jobless until my phd application gets accepted
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Gracelyn @coderlin3
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Runxin Xu @pigjunebaba
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Tim @Glorious_Tim
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Simon Shaolei Du @SimonShaoleiDu
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Xiusi Chen @xiusi_chen
622 Followers 456 Following Postdoc @UofIllinois @uiuc_nlp, Ph.D. @UCLA, BS @PKU1898. RM-R1. Ex-Intern @AmazonScience (x2),@NECLabsAmerica. LLM, Neuro-Symbolic AI.
Peixuan Han @peixuanhakhan
93 Followers 83 Following 2nd year Ph.D. student at UIUC @IllinoisCS LLM Researcher Prev: Tsinghua @Tsinghua_Uni CS Undergrad Amazon @awscloud 25Summer Intern
Dustin Tran @dustinvtran
54K Followers 695 Following I work on reasoning & posttraining at xAI. ex-google
Wenyan Li @Wenyan62
270 Followers 196 Following PhD student at the CoAStaL NLP Group, University of Copenhagen. Former researcher at Comcast AI and SenseTime.
Crystal @crystalsssup
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Tianyi Xiong @tianyixiong23
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Zixian Ma @zixianma02
714 Followers 255 Following PhD student @UWcse | research intern at @allen_ai | prev @StanfordSVL & @StanfordHCI & @SFResearch
Tairan He @TairanHe99
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Jie Wang @JieWang_ZJUI
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Edward Hughes @edwardfhughes
2K Followers 463 Following #OpenEndedness. Staff Research Engineer @GoogleDeepMind, Visiting Fellow @LSEnews, Advisor @coop_ai, Choral Director @GodwineChoir. Views my own.
Wenting Zhao @wzhao_nlp
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Yuhao Dong @dyhTHU
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Quant Science @quantscience_
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Lifan Yuan @lifan__yuan
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Jure Leskovec @jure
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Zhi Su@CoRL @ZhiSu22
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Princeton NLP Group @princeton_nlp
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