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)

MATLAB code to generate the figure in S2 Appendix. by Francesco Colussi (22421582)

Summary of codes generated from MAXQDA software. by Awole Seid (3839965)

Madrasin decreases transcription of protein-coding genes. by Michael Tellier (8284752)

Madrasin decreases transcription of protein-coding genes. by Michael Tellier (8284752)

ActAs and CoT prompt strategies do not result in decreased error rate for tasks with increasing complexity. by Jacqueline A. Jansen (14894276)

Self-correction prompt strategy results in decreased error rate for all tasks with increasing complexity. by Jacqueline A. Jansen (14894276)

fileCont prompt strategy results in decreased error rate for some tasks with increasing complexity. by Jacqueline A. Jansen (14894276)

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. …”

Codebook to showcase codes, sub-categories, and categories. by Suyasha Adhikari (14498207)

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

Node coding process. by Jun Zhao (59250)

<b>Data and R Code for Reproducibility of </b><i>"Forest productivity decreases in response to recent changes in vegetation structure and climate in the latitudinal extremes of the... by Julián Tijerín-Triviño (20377161)

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

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

Correlation between each MSTM and each generative parameter. by Fabiano Baroni (234173)

“…<p>The absolute value of the Spearman correlation coefficient between each MSTM and each generative parameter is color-coded for the single-scale (A) and dual-scale (B) synthetic spike train families. …”

Next-generation sequencing analyses of parental and mutant MeV stocks documenting the stability of the introduced mutations. by Lorellin A. Durnell-Bettis (22656332)

Average number of attempts required to generate a CFP between the starting sequence and the target. by Brian J. Miller (17668302)

Flowchart for GR codes. by R. Sakthivel (2589547)

“…This work aims to increase compression ratio by further encoding the unary part of the Golomb Rice (GR) code so as to decrease the amount of bits used, it mainly focuses on optimizing the hardware for encoding side. …”

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)