57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026The Chinese University of Hong KThe Chinese University of Hong KThe Chinese University of Hong KUnified multimodal modelsMEME: Lightweight Hierarchical Mixture-of-Experts for Unified Affective ComputingYinan Zhang, Haoyu Zhang, Tianshu YuSydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet1/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 1 of 20 reviewers recommend itlenient 1/5medium 0/10strict 0/5
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026The Chinese University of Hong KThe Chinese University of Hong KDeep learning theorySpectral Degeneration of Softmax Attention under Isotropic Score GeometryMengda Li, Jianfeng YaoSydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet0/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
72%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026The Chinese University of Hong KNortheasternSoutheastThe Chinese University of Hong KThe Chinese University of Hong KDeep RLReFPO: Reflow Regularization for Flow Matching Policy GradientsReFPO adds explicit reflow regularization to flow matching policy gradients, stabilizing training and enabling high-fidelity one-step inference that matches multi-step performance across control tasks.Ge Wang, Yibo Peng, Fan Feng, Shenhao Yan and 9 moreSydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet8/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 8 of 20 reviewers recommend itlenient 3/5medium 5/10strict 0/5