1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2025★ 1 cited
Can LLMs Lie? Investigation beyond Hallucination
Haoran Huan, Mihir Prabhudesai, Mengning Wu +2
Large language models (LLMs) have demonstrated impressive capabilities across a variety of tasks, but their increasing autonomy in real-world applications raises concerns about the…
cs.CY2025
Bridging Gaps Between Student and Expert Evaluations of AI-Generated Programming Hints
Tung Phung, Mengyan Wu, Heeryung Choi +4
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 programmin…
cs.CY2025★ 1 cited
Plan More, Debug Less: Applying Metacognitive Theory to AI-Assisted Programming Education
Tung Phung, Heeryung Choi, Mengyan Wu +2
The growing adoption of generative AI in education highlights the need to integrate established pedagogical principles into AI-assisted learning environments. This study investigat…