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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牟宇滔
硕士研究生
北京邮电大学
研究方向
任务型对话系统
自然语言理解
教育经历
硕士研究生, 2021至今
北京邮电大学人工智能学院
电信工程及管理学士学位, 2021
北京邮电大学国际学院
最新
DolphCoder:Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning
Knowledge Editing on Black-box Large Language Models
APP:Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery
Value type-the bridge to a better DST model
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning
Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking
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
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning
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