Ke Ji
19 papers · 2023–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (47) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (80) 🌈 Renaissance Researcher (6)
⚡
Prolific Year · Prolific
💎
Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(13)
Machine Learning
(13)
Learning Types · Machine Learning
(13)
Natural Language Processing
(10)
Core AI
(10)
Applications
(8)
Deep Learning
(5)
Learning Paradigms
(4)
Learning Types · Deep Learning
(4)
Application Areas
(3)
Understanding
(3)
Knowledge & Reasoning
(2)
Reinforcement Learning
(2)
Generation
(2)
Methods
(2)
Keywords
large language model
(8)
few-shot learning
(6)
reinforcement learning
(4)
retrieval-augmented generation
(3)
relation extraction
(3)
continual learning
(3)
in-context learning
(3)
domain adaptation
(3)
contrastive learning
(2)
zero-shot learning
(2)
knowledge graph embedding
(2)
multimodal learning
(2)
catastrophic forgetting
(2)
hierarchical text classification
(2)
medical imaging
(1)
self-supervised learning
(1)
visual question answering
(1)
hierarchical learning
(1)
benchmark evaluation
(1)
argument extraction
(1)
Papers
CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis
ACL 2025
Enhancing Persona Consistency for LLMs’ Role-Playing using Persona-Aware Contrastive Learning
ACL 2025
RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
EMNLP 2025
SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback
ICLR 2025
Towards Medical Complex Reasoning with LLMs through Medical Verifiable Problems
ACL 2025
Unlocking LLMs’ Self-Improvement Capacity with Autonomous Learning for Domain Adaptation
ACL 2025
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification
IJCAI 2024
Empirical Analysis of Dialogue Relation Extraction with Large Language Models
IJCAI 2024
Fast and Continual Knowledge Graph Embedding via Incremental LoRA
IJCAI 2024
Incorporating Schema-Aware Description into Document-Level Event Extraction
IJCAI 2024
LAMM: Label Alignment for Multi-Modal Prompt Learning
AAAI 2024
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
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
Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
EMNLP 2024
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction
COLING 2024
fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation
AAAI 2023
Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification
ACL 2023