Kyumin Lee
13 papers · 2020–2026 · 5 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
Jump to papers ↓+5 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (37) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Sprint
π§¬
Topic Evolution
π
Trend Setter
β
The Questioner
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(59)
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Natural Language Processing
(7)
Core AI
(7)
Learning Types Β· Machine Learning
(6)
Deep Learning
(5)
Application Areas
(5)
Applications
(4)
Learning Types Β· Deep Learning
(3)
Architectures
(2)
Core Methods
(2)
Generation
(2)
Learning Paradigms
(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Keywords
large language model
(5)
in-context learning
(2)
parameter efficiency
(2)
hierarchical attention
(2)
pre-trained language model
(2)
graph neural network
(2)
knowledge distillation
(2)
model compression
(2)
language model
(2)
self-supervised learning
(1)
entity linking
(1)
claim verification
(1)
natural language generation
(1)
prompt engineering
(1)
text classification
(1)
few-shot learning
(1)
data augmentation
(1)
hierarchical modeling
(1)
knowledge graph
(1)
adversarial training
(1)
Papers
ToxiPrompt: A Two-Stage Red-Teaming Approach for Balancing Adversarial Prompt Diversity and Response Toxicity
EACL 2026
ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations
NAACL 2025
FaithfulPersona: Balancing Faithfulness and Personalization in Code Explanations through Self-Critique
NAACL 2025
StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
EMNLP 2025
Empowering Large Language Models for Textual Data Augmentation
ACL 2024
Letβs Ask GNN: Empowering Large Language Model for Graph In-Context Learning
EMNLP 2024
MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning
ICLR 2024
GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs
EMNLP 2023
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness
EMNLP 2023
Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection
EACL 2021
HABERTOR: An Efficient and Effective Deep Hatespeech Detector
EMNLP 2020
Hierarchical Evidence Set Modeling for Automated Fact Extraction and Verification
EMNLP 2020
Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
EMNLP 2020