Yangyang Feng, Jianle Gan, Zhuoyan Feng, Chengwei Qin · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31521 · open-access PDF
个别偏好通常在部署后才会被看到,当用户接受一个决定或取消另一个决定时。Jev风格的打字界面通过识别所选择的行动,并在取消的情况下取代它所做的决定,使这种反馈变得明确。我们研究这些后果如何在决策级别从打字反馈中持续学习(Jev-DLC)等请求中持续存在。Jev-DLC将每个纠正视为关于反复行动身份的证据,以及偏好和拒绝选择之间的有针对性的关系。
Machine translation (Meta M2M100); the English original follows.
Individual preferences often become visible only after deployment, when a user accepts one decision or revokes it in favor of another. Jev-style typed interfaces make this feedback explicit by identifying the selected action and, under revocation, the decision it replaces. We study how these consequences persist across requests as Decision-Level Continual Learning from Typed Feedback (Jev-DLC). Jev-DLC treats each correction as both evidence about a recurring action identity and a directed relation between the preferred and rejected choices. It preserves these signals in complementary bounded
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