自然语言处理徐蔚然老师研究组
自然语言处理徐蔚然老师研究组
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吴亚楠
硕士研究生
北京邮电大学
研究方向
自然语言理解
教育经历
人工智能研究生, 2020至今
北京邮电大学
人工智能本科生, 2016-2020
北京邮电大学
最新
APP:Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation
Generalized Intent Discovery: Learning from Open World Dialogue System
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization
Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning
Novel Slot Detection:A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System
Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack
一种基于结构化用户属性描述的个性化任务型对话系统
一种知识驱动的易配置任务导向型对话管理方法与系统
学员培训模拟用户对话系统
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