most citedEnsembling Large Language Models to Characterize Affective Dynamics in Student-AI Tutor Dialogues

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2025

When One Modality Sabotages the Others: A Diagnostic Lens on Multimodal Reasoning

Chenyu Zhang, Minsol Kim, Shohreh Ghorbani +4

Despite rapid growth in multimodal large language models (MLLMs), their reasoning traces remain opaque: it is often unclear which modality drives a prediction, how conflicts are re…

cs.CL20251 cited

Ensembling Large Language Models to Characterize Affective Dynamics in Student-AI Tutor Dialogues

Chenyu Zhang, Sharifa Alghowinem, Cynthia Breazeal

While recent studies have examined the leaning impact of large language model (LLM) in educational contexts, the affective dynamics of LLM-mediated tutoring remain insufficiently u…

eess.SP2025

Spreading Depolarization Detection in Electrocorticogram Spectrogram Imaging by Deep Learning: Is It Just About Delta Band?

Jeanne Boyer-Chammard, Yinzhe Wu, Chenyu Zhang +4

Prevention of secondary brain injury is a core aim of neurocritical care, with Spreading Depolarizations (SDs) recognized as a significant independent cause. SDs are typically moni…

cs.CV2025

Relational Anatomical Supervision for Accurate 3D Multi-Chamber Cardiac Mesh Reconstruction

Chenyu Zhang, Yihao Luo, Lei Zhu +3

Accurate reconstruction of multi-chamber cardiac anatomy from medical images is a cornerstone for patient-specific modeling, physiological simulation, and interventional planning.…

cs.CV2024

Explanation for Trajectory Planning using Multi-modal Large Language Model for Autonomous Driving

Shota Yamazaki, Chenyu Zhang, Takuya Nanri +5

End-to-end style autonomous driving models have been developed recently. These models lack interpretability of decision-making process from perception to control of the ego vehicle…