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- 2025
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Mark
Natural Language Response Formats for Assessing Depression and Worry With Large Language Models: A Sequential Evaluation With Model Pre-Registration
(2025) In Assessment
- Contribution to journal › Article
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Mark
Automatic Implicit Motive Codings Are at Least as Accurate as Humans’ and 99% Faster
- Contribution to journal › Article
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Mark
Case study : is there a space for TRIZ in the era of ChatGPT?
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Using a large language model (ChatGPT) to assess risk of bias in randomized controlled trials of medical interventions : protocol for a pilot study of interrater agreement with human reviewers
- Contribution to journal › Article
-
Mark
Support, not automation : towards AI-supported code review for code quality and beyond
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
A comparative analysis of ML techniques for bug report classification
- Contribution to journal › Article
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Mark
Preaching with AI : an exploration of preachers' interaction with large language models in sermon preparation
- Contribution to journal › Article
- 2024
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Mark
Beyond rating scales : With targeted evaluation, large language models are poised for psychological assessment
- Contribution to journal › Scientific review
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Mark
Learning with AI Language Models : Guidelines for the Development and Scoring of Medical Questions for Higher Education
- Contribution to journal › Debate/Note/Editorial
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Mark
Integrating large language models for improved failure mode and effects analysis (FMEA) : a framework and case study
(2024) 18th International Design Conference, DESIGN 2024 In Proceedings of the Design Society 4. p.2019-2028
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
