YS
Youbang Sun
cs.LGmath.OCcs.AIcs.CLcs.SYeess.SYstat.MLcs.IRcs.MA
On Valency
published · living versionsW_a9r7rqp5·v1 · currentpublished
Does Your Generalist Skill Optimizer Really Incentivize Agentic Tasks? Rethinking Skill Optimization via Bipartite Attribution
with Jiawei Zhou, Bo Peng, Yuxuan Huang, Ming Zhang +2
1 version
Preprints & journals
21 papers in the corpus · 2018–2026JustQuant: You Don't Need Smoothing, SVD, or Rotation for 4-Bit Activation Quantization2609.33601v1 · Kaicheng Yang, Kaisen Yang, Chunyu Liu et al.2026 · 0 citationsarXiv
Diffusion Reward Models2609.33803v2 · Xiangyang Wang, Bingxiang He, Zeyuan Liu et al.2026 · 0 citationsarXiv
Safin-1: Safety from Within through Memory-Native State Evolution2609.00092v1 · Ming Zhang, Kaisen Yang, Shu Yu et al.2026 · 0 citationsarXiv
Intern-S2-Mobius: Foundation Model with Decoupled Knowledge and Reasoning2608.14290v1 · Kai Chen, Jifeng Ding, Ning Ding et al.2026 · 0 citationsarXiv
Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering2607.28568v1 · Junlin Yang, Che Jiang, Yu Fu et al.2026 · 0 citationsarXiv
Post-Trained MoE Can Skip Half Experts via Self-Distillation2605.18643v2 · Xingtai Lv, Li Sheng, Kaiyan Zhang et al.2026 · 0 citationsarXiv
How Far Can Unsupervised RLVR Scale LLM Training?2603.08660v1 · Bingxiang He, Yuxin Zuo, Zeyuan Liu et al.2026 · 0 citationsarXiv
ADARL: Adaptive Low-Rank Structures for Robust Policy Learning under Uncertainty2510.11899v1 · Chenliang Li, Junyu Leng, Jiaxiang Li et al.2025 · 0 citationsarXiv
FlowRL: Matching Reward Distributions for LLM Reasoning2509.15207v3 · Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang et al.2025 · 1 citationarXiv
A Survey of Reinforcement Learning for Large Reasoning Models2509.08827v3 · Kaiyan Zhang, Yuxin Zuo, Bingxiang He et al.2025 · 3 citationsarXiv
OPERA: A Reinforcement Learning--Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval2508.16438v4 · Yu Liu, Yanbing Liu, Fangfang Yuan et al.2025 · 1 citationarXiv
TTRL: Test-Time Reinforcement Learning2504.16084v3 · Yuxin Zuo, Kaiyan Zhang, Li Sheng et al.2025 · 7 citationsarXiv
Local Linear Convergence of Infeasible Optimization with Orthogonal Constraints2412.05689v1 · Youbang Sun, Shixiang Chen, Alfredo Garcia et al.2024 · 0 citationsarXiv
Retraction-Free Decentralized Non-convex Optimization with Orthogonal Constraints2405.11590v2 · Youbang Sun, Shixiang Chen, Alfredo Garcia et al.2024 · 0 citationsarXiv
Linear Convergence of Independent Natural Policy Gradient in Games with Entropy Regularization2405.02769v1 · Youbang Sun, Tao Liu, P. R. Kumar et al.2024 · 2 citationsarXiv
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games2310.09727v2 · Youbang Sun, Tao Liu, Ruida Zhou et al.2023 · 8 citationsarXiv
On the Stability Analysis of Open Federated Learning Systems2209.12307v2 · Youbang Sun, Heshan Fernando, Tianyi Chen et al.2022 · 6 citationsarXiv
On Centralized and Distributed Mirror Descent: Convergence Analysis Using Quadratic Constraints2105.14385v2 · Youbang Sun, Mahyar Fazlyab, Shahin Shahrampour2021 · 12 citationsarXiv
Linear Convergence of Distributed Mirror Descent with Integral Feedback for Strongly Convex Problems2011.12233v1 · Youbang Sun, Shahin Shahrampour2020 · 2 citationsarXiv
Distributed Mirror Descent with Integral Feedback: Asymptotic Convergence Analysis of Continuous-time Dynamics2009.06747v1 · Youbang Sun, Shahin Shahrampour2020 · 8 citationsarXiv
Can I trust you more? Model-Agnostic Hierarchical Explanations1812.04801v1 · Michael Tsang, Youbang Sun, Dongxu Ren et al.2018 · 13 citationsarXiv
Career total: 29 works. 21 are in this corpus.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.