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Conor Hamill

Conor B. Hamill – Conor Brian Hamill

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2025
[c1]
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  - electronic edition @ aclanthology.org (open access)
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  dblp key:
  - conf/acl/HartleyHSBOK25
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  - https://dblp.org/rec/conf/acl/HartleyHSBOK25
John Hartley, Conor Brian Hamill, Dale Seddon, Devesh Batra, Ramin Okhrati, Raad Khraishi:
How Personality Traits Shape LLM Risk-Taking Behaviour. ACL (Findings) 2025: 21068-21092
[i4]
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  - journals/corr/abs-2503-04735
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  - https://dblp.org/rec/journals/corr/abs-2503-04735
John Hartley, Conor Hamill, Devesh Batra, Dale Seddon, Ramin Okhrati, Raad Khraishi:
How Personality Traits Shape LLM Risk-Taking Behaviour. CoRR abs/2503.04735 (2025)
2024
[i3]
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  - journals/corr/abs-2407-12618
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Mina Doosti, Petros Wallden, Conor B. Hamill, Robert Hankache, Oliver Thomson Brown, Chris Heunen:
A Brief Review of Quantum Machine Learning for Financial Services. CoRR abs/2407.12618 (2024)
2023
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  - journals/corr/abs-2311-01901
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Conor B. Hamill, Raad Khraishi, Simona Gherghel, Jerrard Lawrence, Salvatore Mercuri, Ramin Okhrati, Greig A. Cowan:
Agent-based Modelling of Credit Card Promotions. CoRR abs/2311.01901 (2023)
2022
[i1]
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  - journals/corr/abs-2209-00939
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  - https://dblp.org/rec/journals/corr/abs-2209-00939
Salvatore Mercuri, Raad Khraishi, Ramin Okhrati, Devesh Batra, Conor Hamill, Taha Ghasempour, Andrew Nowlan:
An Introduction to Machine Unlearning. CoRR abs/2209.00939 (2022)

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