Scholar
Ruta Binkyte
Google Scholar ID: ujrfUKIAAAAJ
CISPA Helmholtz Center for Information Security
Fairness
Causality
LLM
Multi-Agent Fairness
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
78
H-index
5
i10-index
3
Publications
20
Co-authors
30
list available
Publications
9 items
FIGS: Evaluating Multi-Turn Sycophancy Without Penalizing Empathy
2026
Cited
0
Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution
2026
Cited
0
Inspectable AI for Science: A Research Object Approach to Generative AI Governance
2026
Cited
0
Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
2025
Cited
0
Interactional Fairness in LLM Multi-Agent Systems: An Evaluation Framework
2025
Cited
0
On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation
2025
Cited
0
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
2025
Cited
0
Safety is Essential for Responsible Open-Ended Systems
2025
Cited
0
Load more
Co-authors
16 total
Sami Zhioua
INRIA, LIX, École Polytechnique, Paris, France
Catuscia Palamidessi
Inria
Carlos Antonio Pinzón
Ph.D. in informatics and mathematics
Karima Makhlouf
Ph.D. in Artificial Intelligence
Mario Fritz
Faculty CISPA Helmholtz Center for Information Security; Professor Saarland University
Ivaxi Sheth
PhD student, CISPA-Helmholtz
Natalia Díaz-Rodríguez, PhD (ORCID: 0000-0003-3362-9326)
Professor, University of Granada, Spain, DaSCI Andalusian Institute on Data Science (RoR:04njjy449)
Paola Tubaro
Research Professor, CNRS
