Scholar
Nabeel Seedat
Google Scholar ID: nUZG1SEAAAAJ
University of Cambridge
Machine Learning
Uncertainty Quantification
Data-Centric AI
Large Language Models
AI for health
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
732
H-index
15
i10-index
20
Publications
20
Co-authors
22
list available
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
Load more
Co-authors
16 total
Mihaela van der Schaar
University of Cambridge, The Alan Turing Institute
Fergus Imrie
University of Oxford
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
Zhaozhi Qian
Elm Company
Hao Sun
Google DeepMind
