Scholar
Paul Thomas
Google Scholar ID: B7c-WcAAAAAJ
Microsoft
Information retrieval
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Citations & Impact
All-time
Citations
2,068
H-index
26
i10-index
54
Publications
20
Co-authors
30
list available
Contact
Email
pathom@microsoft.com
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Publications
7 items
All Claims Are Equal, but Some Claims Are More Equal Than Others: Importance-Sensitive Factuality Evaluation of LLM Generations
2025
Cited
0
Demographically-Inspired Query Variants Using an LLM
2025
Cited
0
T-cell receptor specificity landscape revealed through de novo peptide design
2025
Cited
0
Judging the Judges: A Collection of LLM-Generated Relevance Judgements
2025
Cited
0
LLMs can be Fooled into Labelling a Document as Relevant (best caf'e near me; this paper is perfectly relevant)
2025
Cited
0
IoT Firmware Version Identification Using Transfer Learning with Twin Neural Networks
2025
Cited
0
SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval
arXiv.org · 2024
Cited
1
Resume (English only)
Co-authors
30 total
Nick Craswell
Microsoft
Falk Scholer
School of Computing Technologies, RMIT University
Alistair Moffat
School of Computing and Information Systems, The University of Melbourne
Peter Bailey
Canva
Co-author 5
Emine Yilmaz
University College London
Tom Gedeon
Human-Centric Advancements Chair in AI, Curtin University
Charles L. A. Clarke
Professor of Computer Science, University of Waterloo
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