Institutional Repository

This Repository has been created and designed to collect, preserve and disseminate the scholarly intellectual output of Indraprastha Institute of Information Technology - Delhi (IIIT-Delhi). Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.

Communities in Repository

Recently Added

  • Knowledge graph distillation 
    Narotam, N; Kaif, Mohammad; Akhter, Md. Shad (Advisor); Mutharaju, Raghava (Advisor) (IIIT-Delhi, 2024-11-27)
    We combine domain-specific knowledge graphs with general knowledge graphs to enrich a language model. The objective of this semester was to implement baselines, test var- ious previous literature surveyed, and try to ...
  • Applications of NLP in recipe texts 
    Neelu; Vaikundam, Gurupriya; Upadhyay, Rituj; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2025-07-27)
    This study addresses the challenge of large-scale, multi-label recipe classification us- ing a real-world dataset of over 600,000 recipes collected from heterogeneous sources. The raw data exhibited significant noise, ...
  • Consistent vision: exploring multi-domain applications of consistency models 
    Bhagat, Amil; Jain, Milind; Subramanyam, A V (Advisor) (IIIT-Delhi, 2024-05)
    This project focuses on leveraging consistency models for downstream tasks involving the trans- lation and mapping between different modalities, such as converting visible images to their corresponding infrared representations. ...
  • Non - rigid motion transfer between non - isometric 3D bodies 
    Pandey, Daksh; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2024-11-27)
    This paper explores the problem of motion transfer between 3D non-isometric shapes. The re- search addresses the challenge of transferring motion between shapes that do not share identical geometric properties, which is ...
  • Ontology reasoning in EL++ 
    Chawla, Jessica Kaur; Mutharaju, Raghava (Advisor) (IIIT-Delhi, 2024-11-27)
    The project builds upon existing research that has investigated the reasoning capabilities of PLMs, primarily using RDFS rules. I aim to extend this work by incorporating the more expressive EL++ formalism, which potentially ...

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