Jiaoyan Chen
35 papers · 2017–2026 · 10 venues · across top CS/AI venues
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Research topics
Machine Learning
(24)
Artificial Intelligence
(18)
Natural Language Processing
(18)
Applications
(16)
Core Methods
(14)
Learning Types Β· Machine Learning
(13)
Core AI
(12)
Knowledge & Reasoning
(9)
Deep Learning
(8)
Resources & Methods
(8)
Representation
(7)
Learning Paradigms
(6)
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(5)
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(4)
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(4)
Keywords
large language model
(8)
knowledge graph
(7)
semantic embedding
(5)
retrieval-augmented generation
(4)
entity alignment
(4)
knowledge base
(4)
text classification
(4)
knowledge graph embedding
(3)
zero-shot learning
(3)
question answering
(3)
knowledge graph completion
(2)
transformer architecture
(2)
few-shot learning
(2)
domain adaptation
(2)
language model
(2)
representation learning
(2)
self-supervised learning
(2)
graph embedding
(2)
pre-trained language model
(2)
column type prediction
(2)
Papers
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Long-tail Knowledge
ACL 2026
TaxReasoning: Benchmarking Knowledge-Intensive Mathematical Reasoning with Evolving Tax Laws
AAAI 2026
What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge
EACL 2026
Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs
ACL 2025
Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees
EMNLP 2025
Graph-guided Cross-composition Feature Disentanglement for Compositional Zero-shot Learning
ACL 2025
HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding
AAAI 2025
Noise-powered Multi-modal Knowledge Graph Representation Framework
COLING 2025
TrustUQA: A Trustful Framework for Unified Structured Data Question Answering
AAAI 2025
CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering
EMNLP 2024
DET: A Dual-Encoding Transformer for Relational Graph Embedding
COLING 2024
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
NAACL 2024
Knowledge-Aware Neuron Interpretation for Scene Classification
AAAI 2024
Language Models as Hierarchy Encoders
NeurIPS 2024
MKGL: Mastery of a Three-Word Language
NeurIPS 2024
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
ICLR 2024
TacoERE: Cluster-aware Compression for Event Relation Extraction
COLING 2024
Class Lifelong Learning for Intent Detection via Structure Consolidation Networks
ACL 2023
DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning
AAAI 2023
Language Model Analysis for Ontology Subsumption Inference
ACL 2023
Low-Resource Personal Attribute Prediction from Conversations
AAAI 2023
Novel Relation Detection: Discovering Unknown Relation Types via Multi-Strategy Self-Supervised Learning
EMNLP 2023
Trigger-Argument based Explanation for Event Detection
ACL 2023
BERTMap: A BERT-Based Ontology Alignment System
AAAI 2022
UoR-NCL at SemEval-2022 Task 3: Fine-Tuning the BERT-Based Models for Validating Taxonomic Relations
SemEval 2022
Knowledge-aware Zero-Shot Learning: Survey and Perspective
IJCAI 2021
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding
ACL 2021
Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding
IJCAI 2021
An Industry Evaluation of Embedding-based Entity Alignment
COLING 2020
When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract)
AAAI 2020
Zero-shot Text Classification via Reinforced Self-training
ACL 2020
Augmenting Transfer Learning with Semantic Reasoning
IJCAI 2019
ColNet: Embedding the Semantics of Web Tables for Column Type Prediction
AAAI 2019
Learning Semantic Annotations for Tabular Data
IJCAI 2019
Learning from Ontology Streams with Semantic Concept Drift
IJCAI 2017