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20242026
most citedRevisiting The Classics: A Study on Identifying and Rectifying Gender Stereotypes in Rhymes and Poems

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework

Cong Huy Nguyen, Son Dinh Nguyen, Guanlin Li +8

Automated medical report generation for 3D PET/CT imaging is fundamentally challenged by the high-dimensional nature of volumetric data and a critical scarcity of annotated dataset…

cs.SD2026

Few-Shot Contrastive Adaptation for Audio Abuse Detection in Low-Resource Indic Languages

Aditya Narayan Sankaran, Reza Farahbakhsh, Noel Crespi

Abusive and hateful speech is increasingly spoken rather than written, surfacing in voice notes, calls, and short-form videos. Most detection systems still transcribe speech to tex…

cs.CL2025

Global Beats, Local Tongue: Studying Code Switching in K-pop Hits on Billboard Charts

Aditya Narayan Sankaran, Reza Farahbakhsh, Noel Crespi

Code switching, particularly between Korean and English, has become a defining feature of modern K-pop, reflecting both aesthetic choices and global market strategies. This paper i…

cs.CL2024

Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning

Aditya Narayan Sankaran, Reza Farahbakhsh, Noel Crespi

Online abusive content detection, particularly in low-resource settings and within the audio modality, remains underexplored. We investigate the potential of pre-trained audio repr…

cs.CL2024★ 1 cited

Revisiting The Classics: A Study on Identifying and Rectifying Gender Stereotypes in Rhymes and Poems

Aditya Narayan Sankaran, Vigneshwaran Shankaran, Sampath Lonka +1

Rhymes and poems are a powerful medium for transmitting cultural norms and societal roles. However, the pervasive existence of gender stereotypes in these works perpetuates biased…