Wenjun Ke
26 papers · 2023–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (61) π Conference Polyglot Β· Silver π€ Dynamic Duo (24) ποΈ Keyword Collector (119)
β‘
Prolific Year Β· Prolific
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(19)
Natural Language Processing
(18)
Artificial Intelligence
(13)
Learning Types Β· Machine Learning
(12)
Core AI
(11)
Applications
(10)
Deep Learning
(9)
Resources & Methods
(9)
Application Areas
(6)
Learning Types Β· Deep Learning
(6)
Knowledge & Reasoning
(5)
Understanding
(5)
Representation
(4)
Architectures
(3)
Core Methods
(2)
Keywords
large language model
(10)
named entity recognition
(4)
relation extraction
(4)
parameter-efficient fine-tuning
(3)
in-context learning
(3)
continual learning
(3)
low-rank adaptation
(3)
catastrophic forgetting
(3)
knowledge graph
(3)
language model
(2)
reinforcement learning
(2)
low-resource learning
(2)
online learning
(2)
knowledge graph embedding
(2)
data augmentation
(2)
few-shot learning
(2)
semi-supervised learning
(2)
prompt engineering
(2)
contrastive learning
(2)
topic modeling
(2)
Papers
Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts
AAAI 2026
Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models
AAAI 2026
Capability Decomposition for Unified Information Extraction via Hierarchical Mixture-of-Experts
ACL 2026
Exploring Layer Activation Dynamic of CoT via Knowledge Probe
ACL 2026
Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation
AAAI 2026
Acquisition and Application of Novel Knowledge in Large Language Models
ACL 2025
LLM-Guided Semantic-Aware Clustering for Topic Modeling
ACL 2025
On the Consistency of Commonsense in Large Language Models
ACL 2025
Boosting Textural NER with Synthetic Image and Instructive Alignment
ACL 2024
CMNEE:A Large-Scale Document-Level Event Extraction Dataset Based on Open-Source Chinese Military News
COLING 2024
ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context
AAAI 2024
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification
IJCAI 2024
Fast and Continual Knowledge Graph Embedding via Incremental LoRA
IJCAI 2024
Incorporating Schema-Aware Description into Document-Level Event Extraction
IJCAI 2024
Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning
IJCAI 2024
Making LLMs as Fine-Grained Relation Extraction Data Augmentor
IJCAI 2024
OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning
AAAI 2024
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction
IJCAI 2024
Towards Continual Knowledge Graph Embedding via Incremental Distillation
AAAI 2024
Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype
AAAI 2024
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction
COLING 2024
Unveiling LoRA Intrinsic Ranks via Salience Analysis
NeurIPS 2024
fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation
AAAI 2023
Online Noisy Continual Relation Learning
AAAI 2023
Revisiting Large Language Models as Zero-shot Relation Extractors
EMNLP 2023
Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer
IJCAI 2023