Yuwei Zhang
18 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(14)
Artificial Intelligence
(13)
Core AI
(11)
Learning Types Β· Machine Learning
(11)
Natural Language Processing
(10)
Deep Learning
(8)
Applications
(7)
Core Methods
(6)
Generation
(6)
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(6)
Application Areas
(3)
Learning Paradigms
(3)
Techniques
(3)
Healthcare & Medicine
(2)
Clinical
(2)
Keywords
few-shot learning
(3)
transfer learning
(3)
contrastive learning
(3)
large language model
(2)
question answering
(2)
intent classification
(2)
domain adaptation
(1)
attention mechanism
(1)
representation learning
(1)
text mining
(1)
document understanding
(1)
knowledge distillation
(1)
data augmentation
(1)
temporal reasoning
(1)
visual question answering
(1)
information retrieval
(1)
text generation
(1)
sentiment analysis
(1)
information extraction
(1)
feature extraction
(1)
Papers
Aligning Cross-View Visual Geometries in LVLMs Through Human-Like Reasoning Learning
AAAI 2026
Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection
ACL 2026
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models
AAAI 2025
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory
ICLR 2025
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
ICLR 2025
Tool-Planner: Task Planning with Clusters across Multiple Tools
ICLR 2025
Toward Multi-Session Personalized Conversation: A Large-Scale Dataset and Hierarchical Tree Framework for Implicit Reasoning
EMNLP 2025
Answer is All You Need: Instruction-following Text Embedding via Answering the Question
ACL 2024
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders
ACL 2024
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation
ACL 2024
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking
NeurIPS 2024
A Composite Multi-Attention Framework for Intraoperative Hypotension Early Warning
AAAI 2023
ClusterLLM: Large Language Models as a Guide for Text Clustering
EMNLP 2023
Toward Unsupervised Realistic Visual Question Answering
ICCV 2023
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization
NAACL 2022
New Intent Discovery with Pre-training and Contrastive Learning
ACL 2022
Effectiveness of Pre-training for Few-shot Intent Classification
EMNLP 2021
Texture and Shape Biased Two-Stream Networks for Clothing Classification and Attribute Recognition
CVPR 2020