Tanupriya Choudhury

dblp:122/3000 · DBLP profile ↗
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4ranked-venue papers in the field
0as first author
4since 2021 · last 2025
0000-0002-9826-2759ORCID · corroborated

Domains — venue-derived; a paper can count in several

Big Data, Cloud & Distributed Data Systems · 3Information Retrieval & Web Search · 1
YearPublicationVenuePosition
2025 Dynamic Reasoning Chains Through Depth-Specialized Mixture-of-Experts in Transformer Architectures
Sampurna Roy, Ayan Sar, Anurag Kaushish, Kanav Gupta, Tanupriya Choudhury, Abhijit Kumar
IEEE Big Data5
2025 SwasthLLM: A Unified Cross-Lingual, Multi-Task, and Meta-Learning Zero-Shot Framework for Medical Diagnosis Using Contrastive Representations
Ayan Sar, Pranav Singh Puri, Sumit Aich, Tanupriya Choudhury, Abhijit Kumar
IEEE Big Data4
2025 Hierarchical Resolution Transformers: A Wavelet-Inspired Architecture for Multi-Scale Language Understanding
Ayan Sar, Sampurna Roy, Kanav Gupta, Anurag Kaushish, Tanupriya Choudhury, Abhijit Kumar
IEEE Big Data5
2025 A royalty framework for copyright protection and accountability in AI-generated art
abstract
The emergence of generative artificial intelligence has profoundly reshaped the landscape of creative production, but it has also raised critical questions regarding authorship, copyright, and ethical accountability. This paper engages with the growing discourse on the legal status of AI-generated content, emphasizing the challenges it poses to existing copyright frameworks and the rights of human creators. Our research proposes a quantitative, multi-modal framework designed to assess the influence of artists whose works are potentially reflected in AI-generated art. Drawing from contemporary discussion in digital ethics, IP law, and AI governance, this work advocates for the development of enforceable mechanisms to ensure transparency, accountability, and attribution in creative AI systems. It also underscores the pressing need for international legal harmonization and policy intervention to safeguard the labor, legacy, and moral rights of artists. The study contributes to the broader movement toward responsible and equitable innovation, where the protection of human intellectual contribution remains central to the evolution of AI-generated cultural production.
Priyanshi Rai, Kartik Gupta, Lubna Abdelkhreim Gabralla, Tanupriya Choudhury
Discov. Comput.4