Kasneci, Gjergji
- Language Models are Realistic Tabular Data Generators
2022/10/12 by Vadim Borisov, Borisov, Vadim, Kathrin Seßler +7 · 33 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- A Consistent and Efficient Evaluation Strategy for Attribution Methods
2022/02/01 by Yao Rong, Rong, Yao, Tobias Leemann +7 · 11 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Graph Neural Networks #Visual Attention and Saliency Detection
- TLOB: A Novel Transformer Model with Dual Attention for Price Trend Prediction with Limit Order Book Data
2025/02/12 by Leonardo Berti, Berti, Leonardo, Gjergji Kasneci +1 · 3 voices · 1 citation
#q-fin.ST #cs.AI #cs.LG #q-fin.TR
- Emergent Abilities in Large Language Models: A Survey
2025/02/28 by Leonardo Berti, Berti, Leonardo, Flavio Giorgi +3 · 15 citations
Computer Science · Medicine · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- GermanPartiesQA: Benchmarking Commercial Large Language Models and AI Companions for Political Alignment and Sycophancy
2024/07/25 by Batzner, Jan, Stocker, Volker, Schmid, Stefan +1 · 8 citations
#Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #K.4
- User Intent Recognition and Satisfaction with Large Language Models: A User Study with ChatGPT
2024/02/03 by Anna Bodonhelyi, Bodonhelyi, Anna, Efe Bozkir +7 · 4 citations
Computer Science · #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Topic Modeling
- Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents
2025/05/28 by Michael Kirchhof, Gjergji Kasneci, Kirchhof, Michael +3 · 1 voice · 7 citations
#cs.LG #cs.AI #cs.CL
- Gaussian Membership Inference Privacy
2023/06/12 by Tobias Leemann, Leemann, Tobias, Martin Pawelczyk +3 · 3 citations
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Criminal Justice and Corrections Analysis #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
- Training Decision Trees as Replacement for Convolution Layers
2019/05/24 by Fuhl, Wolfgang, Kasneci, Gjergji, Rosenstiel, Wolfgang +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Bias in Data-driven AI Systems -- An Introductory Survey
2020/01/14 by Ntoutsi, Eirini, Fafalios, Pavlos, Gadiraju, Ujwal +20 · 1 citation
#Computers and Society (cs.CY) #FOS: Computer and information sciences
- Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers
2025/04/29 by Abramov, Roman, Steinbauer, Felix, Kasneci, Gjergji · 4 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.3 #I.2.6 #I.2.7 #I.7 #Machine Learning (cs.LG)
- Understanding Knowledge Drift in LLMs through Misinformation
2024/09/11 by Fastowski, Alina, Kasneci, Gjergji · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- When are Post-hoc Conceptual Explanations Identifiable?
2022/06/28 by Leemann, Tobias, Kirchhof, Michael, Rong, Yao +2 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Explanation Shift: Detecting distribution shifts on tabular data via the explanation space
2022/10/22 by Mougan, Carlos, Broelemann, Klaus, Kasneci, Gjergji +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Explanation Shift: How Did the Distribution Shift Impact the Model?
2023/03/14 by Carlos Mougan, Mougan, Carlos, Klaus Broelemann +8 · 1 citation
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Time Series Analysis and Forecasting
- Introduction to Eye Tracking: A Hands-On Tutorial for Students and Practitioners
2024/04/23 by Kasneci, Enkelejda, Gao, Hong, Ozdel, Suleyman +6 · 1 citation
#FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
- Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule
2024/08/26 by Zhao, Xuan, Broelemann, Klaus, Ruggieri, Salvatore +1 · 1 citation
#Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers
2024/05/22 by Leemann, Tobias, Fastowski, Alina, Pfeiffer, Felix +1 · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers
2024/11/03 by Gjergji Kasneci, Kasneci, Gjergji, Enkelejda Kasneci +1 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Time Series Analysis and Forecasting
- Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs
2025/07/25 by Shuo Yang, Yang, Shuo, Zheyu Zhang +5 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
- On Baselines for Local Feature Attributions
2021/01/04 by Johannes Haug, Haug, Johannes, Stefan Zürn +5 · 1 citation
Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #Bayesian Modeling and Causal Inference