Scholar
Ivaxi Sheth
Google Scholar ID: Isz5M1UAAAAJ
PhD student, CISPA-Helmholtz
Machine Learning
Causality
LLMs
Explainability
Safety
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Citations & Impact
All-time
Citations
136
H-index
6
i10-index
4
Publications
20
Co-authors
14
list available
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No contact links provided.
Publications
11 items
Cross-Lingual LLM-Judge Transfer via Evaluation Decomposition
2026
Cited
0
IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery
2026
Cited
0
PersistBench: When Should Long-Term Memories Be Forgotten by LLMs?
2026
Cited
0
Funny or Persuasive, but Not Both: Evaluating Fine-Grained Multi-Concept Control in LLMs
2026
Cited
0
Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
2025
Cited
0
ProtocolLLM: RTL Benchmark for SystemVerilog Generation of Communication Protocols
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
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Resume (English only)
Co-authors
14 total
Samira Ebrahimi Kahou
Associate Professor, University of Calgary/Mila/Canada CIFAR AI Chair
Mohammad Havaei
Google
Mario Fritz
Faculty CISPA Helmholtz Center for Information Security; Professor Saarland University
Ruta Binkyte
CISPA Helmholtz Center for Information Security
Sahar Abdelnabi
AI Security Researcher, Microsoft
Co-author 6
Mark Gales
Cambridge University
Vyas Raina
University of Cambridge
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