Katja Filippova

1. Dissecting Recall of Factual Associations in Auto-Regressive Language Models
   2023/04/28 by Mor Geva, Jasmijn Bastings, Geva, Mor +5 · 2 voices · 124 citations
   Computer Science · Social Sciences · #Computational and Text Analysis Methods #Natural Language Processing Techniques #Topic Modeling #cs.CL
2. Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
   2024/12/09 by A. Feder Cooper, Christopher A. Choquette-Choo, Cooper, A. Feder +75 · 5 voices · 21 citations
   Computer Science · Social Sciences · #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #cs.AI #cs.CY #cs.LG
3. Theoretical and Practical Perspectives on what Influence Functions Do
   2023/05/26 by Andrea Schioppa, Katja Filippova, Schioppa, Andrea +5 · 15 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
4. "Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification
   2021/11/14 by Jasmijn Bastings, Bastings, Jasmijn, Sebastian Ebert +7 · 6 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning and Data Classification #Text and Document Classification Technologies #Topic Modeling
5. Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets
   2023/02/27 by Irina Bejan, Bejan, Irina, Artem Sokolov +3 · 7 citations
   Computer Science · Decision Sciences · #Topic Modeling #Data Quality and Management #Natural Language Processing Techniques
6. Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!
   2018/09/24 by Katharina Kann, Kann, Katharina, Sascha Rothe +3 · 1 citation
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling