Xiaomeng Jin
13 papers · 2019–2025 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(13)
Artificial Intelligence
(11)
Core AI
(10)
Deep Learning
(5)
Natural Language Processing
(5)
Application Areas
(5)
Learning Types
(5)
Applications
(3)
Core Methods
(3)
Understanding
(3)
Knowledge & Reasoning
(2)
Architectures
(2)
Models
(2)
Optimization & Theory
(2)
Representation
(2)
Keywords
machine unlearning
(3)
model editing
(2)
graph neural network
(2)
event graph
(2)
data augmentation
(2)
adversarial robustness
(2)
large language model
(2)
synthetic data
(2)
event extraction
(2)
adversarial training
(2)
knowledge base
(1)
semantic consistency
(1)
curriculum learning
(1)
semantic analysis
(1)
variational inference
(1)
language model
(1)
multimodal learning
(1)
data privacy
(1)
large multimodal model
(1)
reaction prediction
(1)
Papers
Contrastive Visual Data Augmentation
ICML 2025
LUME: LLM Unlearning with Multitask Evaluations
EMNLP 2025
SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models
SemEval 2025
SYNTHIA: Novel Concept Design with Affordance Composition
ACL 2025
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate
NAACL 2025
ARMADA: Attribute-Based Multimodal Data Augmentation
EMNLP 2024
Schema-based Data Augmentation for Event Extraction
COLING 2024
Adversarial Robustness for Large Language NER models using Disentanglement and Word Attributions
EMNLP 2023
Toward Consistent and Informative Event-Event Temporal Relation Extraction
ACL 2023
Chemical-Reaction-Aware Molecule Representation Learning
ICLR 2022
Event Schema Induction with Double Graph Autoencoders
NAACL 2022
RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios
NAACL 2022
On the Sensitivity of Adversarial Robustness to Input Data Distributions
ICLR 2019