📄 八十小时练一人，十分钟认新人：词分类竞赛把跨被试泛化变成硬指标 英文题目：The 2026 PNPL Competition: Word Classification and Efficient Cross-Subject Generalisation in LibriBrain100
一句话：论文以 LibriBrain100 的约 80 小时单被试深度与 32 人广度为底，用固定 50 词加 Moses 50 加 OVMI 三重评估组织深广双赛道，深度基线 BAcc@10 达 73.23% 而广度仅 42.96% 且 OVMI 低至 0.014，证明分钟级跨被试仍是最大鸿沟。
标签：#语音识别 | #自监督学习 | #低资源 | #基准测试
评分：7.5/10 | 创新 1.3/2 | 技术严谨 1/1.5 | 实验充分 1/1.5 | 清晰度 0.7/1 | 影响力 1.2/1.5 | 开源 1.2/1.5 | 可复现 0.1/0.5 | 工程/实践 1/1.5
👥 作者与机构 Francesco Mantegna：PNPL, Department of Engineering Science, University of Oxford, UK Gereon Elvers：PNPL, Department of Engineering Science, University of Oxford, UK Dulhan Jayalath：PNPL, Department of Engineering Science, University of Oxford, UK Gilad Landau：PNPL, Department of Engineering Science, University of Oxford, UK Tasha Kim：PNPL, Department of Engineering Science, University of Oxford, UK Miran Özdogan：PNPL, Department of Engineering Science, University of Oxford, UK Luisa Kurth：PNPL, Department of Engineering Science, University of Oxford, UK Teyun Kwon：PNPL, Department of Engineering Science, University of Oxford, UK SungJun Cho：PNPL, Department of Engineering Science, University of Oxford, UK；OHBA, Oxford Centre for Integrative Neuroimaging, University of Oxford, UK Benjamin Ballyk：PNPL, Department of Engineering Science, University of Oxford, UK Alex Fung：PNPL, Department of Engineering Science, University of Oxford, UK；FMRIB, Oxford Centre for Integrative Neuroimaging, University of Oxford, UK Anna Greer：PNPL, Department of Engineering Science, University of Oxford, UK Pratik Somaiya：PNPL, Department of Engineering Science, University of Oxford, UK Christian Herff：Maastricht University, The Netherlands Yorguin Mantilla Ramos：UNIQUE, Université de Montréal, Canada Hamza Abdelhedi：UNIQUE, Université de Montréal, Canada Karim Jerbi：UNIQUE, Université de Montréal, Canada；Mila–Quebec AI Institute, Canada Greg Farquhar：Google DeepMind, UKJoint first authors Brendan Shillingford：Google DeepMind, UKJoint first authors Mark Woolrich：OHBA, Oxford Centre for Integrative Neuroimaging, University of Oxford, UK Oiwi Parker Jones：PNPL, Department of Engineering Science, University of Oxford, UK 💬 毒舌点评 把非侵入语音解码从单被试刷分拉向临床最痛的跨被试少样本与零样本，课程设计与双轨评估颇有野心。短板是全篇零新模型，两个参考模型均为旧工作复用，宽松的 Top-10 指标叠加功能词为主的词表让绝对分数虚胖，OVMI 揭开后通信价值几乎归零。
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