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Philip Lippmann

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2020 – today

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2024
[i4]
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  - journals/corr/abs-2401-00290
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  - https://dblp.org/rec/journals/corr/abs-2401-00290
Aleksander Buszydlik, Karol Dobiczek, Michal Teodor Okon, Konrad Skublicki, Philip Lippmann, Jie Yang:
Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tasks. CoRR abs/2401.00290 (2024)
[i3]
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  - journals/corr/abs-2403-17860
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Philip Lippmann, Matthijs T. J. Spaan, Jie Yang:
Exploring LLMs as a Source of Targeted Synthetic Textual Data to Minimize High Confidence Misclassifications. CoRR abs/2403.17860 (2024)
2023
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  - conf/aies/LammertsLHC023
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Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu, Fabio Casati, Jie Yang:
How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection. AIES 2023: 834-844
[i2]
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  - journals/corr/abs-2307-11806
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Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu, Fabio Casati, Jie Yang:
How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection. CoRR abs/2307.11806 (2023)
2022
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  - journals/corr/abs-2210-08906
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Andrea Tocchetti, Lorenzo Corti, Agathe Balayn, Mireia Yurrita, Philip Lippmann, Marco Brambilla, Jie Yang:
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities. CoRR abs/2210.08906 (2022)

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