Yu Lan
9 papers · 2023–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (31) π£ Hot Topic Early Bird β The Questioner (2)
π
Renaissance Researcher
(6)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Natural Language Processing
(5)
Learning Types Β· Machine Learning
(5)
Deep Learning
(4)
Core AI
(4)
Learning Types Β· Deep Learning
(4)
Learning Paradigms
(3)
Resources & Methods
(3)
Computer Vision
(2)
Robotics
(2)
Analysis
(2)
Application Areas
(2)
Applications
(2)
Capabilities
(2)
Keywords
machine-generated text detection
(3)
contrastive learning
(3)
pose estimation
(2)
prompt optimization
(2)
text classification
(2)
pre-trained language model
(2)
domain generalization
(2)
large language model
(2)
soft prompt
(2)
few-shot learning
(2)
multimodal learning
(1)
chain-of-thought reasoning
(1)
semantic segmentation
(1)
3d vision
(1)
prompt engineering
(1)
frequency domain
(1)
attention mechanism
(1)
feature fusion
(1)
view consistency
(1)
low-resource learning
(1)
Papers
Can Reasoning Path still be Effective as Input? Bridging Post-Reasoning to Chain-of-Thought Compression
ACL 2026
MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment
AAAI 2026
Completing 3D Partial Assemblies with View-Consistent 2D-3D Correspondence
ICCV 2025
Imagine: Image-Guided 3D Part Assembly with Structure Knowledge Graph
AAAI 2025
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
NeurIPS 2024
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning
AAAI 2024
Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better
ACL 2024
StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation
EMNLP 2024
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning
EMNLP 2023