Scholar
Nabeel Seedat
Google Scholar ID: nUZG1SEAAAAJ
University of Cambridge
Machine Learning
Uncertainty Quantification
Data-Centric AI
Large Language Models
AI for health
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Citations & Impact
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Citations
732
H-index
15
i10-index
20
Publications
20
Co-authors
22
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Publications
14 items
FramingQA: Does the Question Shape the Answer? Measuring the Compositional Framing Effect
2026
Cited
0
Thomson: Continual Learning of Frontier Models for SovereignAI
2026
Cited
0
InsufficiencyBench: Evaluating LLM legal advice on underspecified user queries
2026
Cited
0
ContractScrub: A benchmark for final review of legal contracts
2026
Cited
0
Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces
2026
Cited
0
Influence-Guided Symbolic Regression: Scientific Discovery via LLM-Driven Equation Search with Granular Feedback
2026
Cited
0
To Whom Do Language Models Align? Measuring Principal Hierarchies Under High-Stakes Competing Demands
2026
Cited
0
Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification
2026
Cited
0
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Resume (English only)
Co-authors
22 total
Mihaela van der Schaar
University of Cambridge, The Alan Turing Institute
Fergus Imrie
University of Oxford
Co-author 3
Boris van Breugel
Senior ML Researcher, Qualcomm AI Research
Vered Aharonson
University of the Witwatersrand, Johannesburg
Tennison Liu
University of Cambridge
Nicolás Astorga
University of Cambridge
Co-author 8
