Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

Interaction plot with 95% confidence intervals generated from the GAM regression model 1 in Table 2 examining initial ED SBP and management group interactions. by Randeep S. Jawa (20489181)

Subjects:

GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a) by Kerol Djoumessi (21349992)

Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

“…We found that surprisal scores decreased following structural priming treatment, especially in participants with more severe sentence production impairments. …”

Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

“…We found that surprisal scores decreased following structural priming treatment, especially in participants with more severe sentence production impairments. …”

Feature engineering. by Youli Jiang (15249070)

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…This type of monitoring often relies on the use of navigation systems such as the Automatic Identification System (AIS). …”

Decision switching before any AI feedback and after all AI feedback, reported as % difference in diagnostic accuracy of participants (i.e., difference in diagnostic accuracy before... by Clare Rainey (11677747)

Trust perception of student radiographers and radiographers at the beginning of the study, before accessing any of the AI feedback, following exposure to the AI and at the end of t... by Clare Rainey (11677747)

Inherently interpretable deep learning framework highlights clinically relevant image regions. by Kerol Djoumessi (21349992)

Impact of AI feedback on <i>all</i> participants’ diagnostic accuracy, when the AI feedback is <i>correct</i> and <i>INcorrect.</i> by Clare Rainey (11677747)

Impact of AI feedback on <i>student</i> participants’ diagnostic accuracy, when the AI feedback is <i>correct</i> and <i>INcorrect.</i> by Clare Rainey (11677747)

Impact of AI feedback on <i>radiographer</i> participants’ diagnostic accuracy, when the AI feedback is <i>correct</i> and <i>INcorrect.</i> by Clare Rainey (11677747)

Development of Potent and Selective Dual PPARδ/sEH Modulators from an AI-Designed Scaffold by Xiu Ge (13802019)

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

Students’ and radiographers’ trust perception before, during and after AI feedback. by Clare Rainey (11677747)

Patient 11 – Pathological examination: AI correct (83.6% confidence). by Clare Rainey (11677747)

Impact of AI feedback on <i>all</i> participants’ diagnostic accuracy. by Clare Rainey (11677747)

Impact of AI feedback on <i>radiographer</i> participants’ diagnostic accuracy. by Clare Rainey (11677747)