Gjergji Kasneci
27 papers · 2014–2026 · 9 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(18)
Core AI
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Machine Learning
(16)
Deep Learning
(11)
Application Areas
(10)
Natural Language Processing
(6)
Core Methods
(6)
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(5)
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Computer Vision
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Keywords
large language model
(6)
tabular data generation
(4)
decision tree
(3)
synthetic data
(3)
moral reasoning
(2)
dependency graph
(2)
shortcut learning
(2)
tabular data augmentation
(2)
algorithmic recourse
(2)
tree-based model
(2)
bias mitigation
(2)
data augmentation
(2)
feature attribution
(2)
proximal policy optimization
(2)
generative adversarial network
(2)
explainable ai
(2)
style transfer
(1)
decision making
(1)
reinforcement learning
(1)
text classification
(1)
Papers
SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation
ACL 2026
Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language Models
ACL 2026
CURE: Controlled Unlearning for Robust Embeddings β Mitigating Conceptual Shortcuts in Pre-Trained Language Models
EMNLP 2025
Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs
EMNLP 2025
From Confidence to Collapse in LLM Factual Robustness
EMNLP 2025
From Regulation to Interaction: Expert Views on Aligning Explainable AI with the EU AI Act
EMNLP 2025
Graph Inverse Style Transfer for Counterfactual Explainability
ICML 2025
Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers
ICML 2025
Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models
EMNLP 2025
Position: Uncertainty Quantification Needs Reassessment for Large Language Model Agents
ICML 2025
Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models
ACL 2025
RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting
AAAI 2025
SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification
ICML 2025
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data
AAAI 2024
Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization
COLING 2024
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models
ACL 2024
The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI
EMNLP 2024
Gaussian Membership Inference Privacy
NeurIPS 2023
Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees
AAAI 2023
Language Models are Realistic Tabular Data Generators
ICLR 2023
On the Trade-Off between Actionable Explanations and the Right to be Forgotten
ICLR 2023
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
ICLR 2023
When are post-hoc conceptual explanations identifiable?
UAI 2023
A Consistent and Efficient Evaluation Strategy for Attribution Methods
ICML 2022
Training Decision Trees as Replacement for Convolution Layers
AAAI 2020
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees
IJCAI 2019
BEL: Bagging for Entity Linking
COLING 2014