Yutao Mou
16 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (40) π Conference Polyglot Β· Silver π€ Dynamic Duo (14)
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Keyword Collector
(69)
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(14)
Learning Types Β· Machine Learning
(12)
Natural Language Processing
(11)
Artificial Intelligence
(9)
Applications
(9)
Core AI
(6)
Core Methods
(6)
Deep Learning
(4)
Generation
(3)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Optimization & Theory
(3)
Application Areas
(2)
Computer Science
(1)
Computer Vision
(1)
Keywords
out-of-domain detection
(7)
intent classification
(6)
intent discovery
(5)
dialogue system
(5)
out-of-distribution detection
(4)
intent detection
(4)
representation learning
(3)
large language model
(3)
contrastive learning
(3)
task-oriented dialogue
(3)
few-shot learning
(3)
open-world recognition
(2)
prototype learning
(2)
slot filling
(2)
zero-shot learning
(2)
ood detection
(2)
dialogue state tracking
(2)
knowledge distillation
(2)
knowledge transfer
(1)
attention mechanism
(1)
Papers
Can You Really Trust Code Copilot? Evaluating Large Language Models from a Code Security Perspective
ACL 2025
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection
COLING 2024
SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types
NeurIPS 2024
UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle
NAACL 2024
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
EMNLP 2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition
EMNLP 2023
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery
ACL 2023
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT
EMNLP 2023
Value type: the bridge to a better DST model
ACL 2023
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning
ACL 2022
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning
EMNLP 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation
COLING 2022
Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking
EMNLP 2022
Generalized Intent Discovery: Learning from Open World Dialogue System
COLING 2022
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
EMNLP 2022
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery
EMNLP 2022