Margaret Wu
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View article: Can LLMs Lie? Investigation beyond Hallucination
Can LLMs Lie? Investigation beyond Hallucination Open
Large language models (LLMs) have demonstrated impressive capabilities across a variety of tasks, but their increasing autonomy in real-world applications raises concerns about their trustworthiness. While hallucinations-unintentional fals…
View article: Plan More, Debug Less: Applying Metacognitive Theory to AI-Assisted Programming Education
Plan More, Debug Less: Applying Metacognitive Theory to AI-Assisted Programming Education Open
The growing adoption of generative AI in education highlights the need to integrate established pedagogical principles into AI-assisted learning environments. This study investigates the potential of metacognitive theory to inform AI-assis…
View article: Bridging Gaps Between Student and Expert Evaluations of AI-Generated Programming Hints
Bridging Gaps Between Student and Expert Evaluations of AI-Generated Programming Hints Open
Generative AI has the potential to enhance education by providing personalized feedback to students at scale. Recent work has proposed techniques to improve AI-generated programming hints and has evaluated their performance based on expert…
View article: Diffusion Beats Autoregressive in Data-Constrained Settings
Diffusion Beats Autoregressive in Data-Constrained Settings Open
Autoregressive (AR) models have long dominated the landscape of large language models, driving progress across a wide range of tasks. Recently, diffusion-based language models have emerged as a promising alternative, though their advantage…
View article: A Circulating MicroRNA Signature Serves as a Diagnostic and Prognostic Indicator in Sarcoidosis
A Circulating MicroRNA Signature Serves as a Diagnostic and Prognostic Indicator in Sarcoidosis Open
MicroRNAs (miRNAs) act as post-transcriptional regulators of gene expression. In sarcoidosis, aberrant miRNA expression may enhance immune responses mounted against an unknown antigenic agent. We tested whether a distinct miRNA signature f…