Philip Yu
38 papers · 2014–2024 · 8 venues · across top CS/AI venues
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Achievements
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Dynamic Duo
(11)
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Research topics
Natural Language Processing
(23)
Artificial Intelligence
(21)
Machine Learning
(20)
Deep Learning
(16)
Applications
(16)
Learning Types Β· Machine Learning
(13)
Core AI
(12)
Core Methods
(11)
Learning Paradigms
(11)
Architectures
(9)
Learning Types Β· Deep Learning
(8)
Application Areas
(6)
Generation
(5)
Resources & Methods
(5)
Understanding
(4)
Keywords
few-shot learning
(6)
transfer learning
(5)
pre-trained language model
(4)
intent detection
(4)
domain adaptation
(4)
intent classification
(4)
contrastive learning
(3)
natural language inference
(3)
large language model
(3)
knowledge transfer
(3)
zero-shot learning
(3)
natural language understanding
(2)
named entity recognition
(2)
cross-lingual transfer
(2)
attention mechanism
(2)
self-supervised learning
(2)
text classification
(2)
representation learning
(2)
knowledge distillation
(2)
question answering
(2)
Papers
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text
NAACL 2024
Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions
ACL 2024
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning
NAACL 2024
Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products
ACL 2024
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm
IJCNLP 2023
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks
EMNLP 2023
Enhancing Cross-lingual Transfer via Phonemic Transcription Integration
ACL 2023
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach
IJCNLP 2023
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection
ACL 2022
Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes?
EMNLP 2022
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking
NAACL 2022
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
NAACL 2022
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction
NAACL 2022
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots
EMNLP 2021
Dense Hierarchical Retrieval for Open-domain Question Answering
EMNLP 2021
Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation
EACL 2021
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
EMNLP 2021
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization
EMNLP 2021
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization
NAACL 2021
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
NAACL 2021
Composed Variational Natural Language Generation for Few-shot Intents
EMNLP 2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference
EMNLP 2020
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis
EMNLP 2020
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
EMNLP 2020
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking
COLING 2020
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation
COLING 2020
Improving Medical NLI Using Context-Aware Domain Knowledge
COLING 2020
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks
COLING 2020
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing
COLING 2020
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction
EMNLP 2020
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis
COLING 2020
User Memory Reasoning for Conversational Recommendation
COLING 2020
Adversarial Learning for Weakly-Supervised Social Network Alignment
AAAI 2019
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
NAACL 2019
Joint Slot Filling and Intent Detection via Capsule Neural Networks
ACL 2019
Multi-grained Named Entity Recognition
ACL 2019
Zero-shot User Intent Detection via Capsule Neural Networks
EMNLP 2018
Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks
ICML 2014