1st Workshop on Democratizing GenAI and Scalable NLP with HiPC for Societal Impact (GSNLP-HiPC)

32nd IEEE International Conference on High Performance Computing, Data, & Analytics

Workshop Date: December 17, 2025

In conjunction with: 32nd IEEE International Conference on High Performance Computing, Data, & Analytics (HiPC 2025)

About Workshop

The workshop will provide a platform to share cutting-edge research, practical deployments, and collaborative initiatives that democratize access to advanced language technologies for communities across India and other linguistically diverse regions. By connecting NLP, GenAI, and HPC experts with domain stakeholders, the workshop will identify research gaps, foster collaborations, and advance the mission of using AI responsibly and equitably for societal good. We welcome contributions covering novel algorithms, system architectures, datasets, and case studies demonstrating scalable and impactful applications of GenAI and NLP.

Goals of the Workshop:

  • Bring together experts from HPC, NLP, and GenAI to address computational and linguistic challenges
  • Promote efficient GenAI and NLP for the multilingual ecosystem
  • Showcase GenAI/NLP applications in agriculture, education, healthcare, governance, and sustainability

This workshop seeks to foster scalable, efficient, and inclusive GenAI/NLP solutions using HPC infrastructure across linguistically diverse and low-resource regions. It aims to build a collaborative ecosystem that advances responsible AI practices while broadening societal access to cutting-edge AI technologies.

Call for Papers

The workshop invites original, high quality research papers as well as case studies and practical experiences, but not limited to the following:

  • HPC Architectures and Frameworks for NLP and GenAI
  • HPC-enabled GenAI in low-resource settings
  • Generative AI Applications for Societal Domains
  • Data-centric and Resource-efficient AI
  • Scalable NLP Pipelines and Tooling
  • Responsible and Inclusive GenAI
  • Low-resource and Multilingual NLP
  • HPC-driven Question Answering Systems and Applications
  • Scalable and Low-resource Question Answering in NLP and GenAI
  • Case Studies and Field Deployments

Submission Guidelines

Workshop paper submissions should follow the IEEE conference template (double-column format, 10-pt font on 8.5"×11" pages).

  • Extended poster abstract: 2 pages (including references, figures, tables)
  • Short paper: 4 pages (including references, figures, tables)
  • Full paper: Minimum 6 and up to 10 pages (including references, figures, tables)
  • Submission link: https://easychair.org/gsnlp2025
  • Accepted papers presented in the workshop will be published in the Workshops volume of the conference proceedings, identified by a separate ISBN (HiPCW 2025). After the conference, eligible papers will be submitted for inclusion in the IEEE Xplore Digital Library. The presentations must be done in person.

Keynote Speakers

  • Dr. Rajiv Ratn Shah – IIIT Delhi
    Talk: "Scalable Computing for Generative AI: Architectures, Challenges, and Opportunities"
  • Dr. Parameswari Krishnamurthy – IIIT Hyderabad
    Talk: "Computational Linguistics for Scalable Multilingual Corpus"

Important Dates

  • Submission Site Opens:September 1 2025
  • Submission Deadline:October 10, 2025
  • Author Notification:November 6, 2025
  • Camera Ready Due:November 14, 2025
  • Workshop Date:December 17, 2025

Program Structure

8:30 amRegistration
9:00 – 9:15 amWelcome and Opening Remarks
9:15 – 9:45 amKeynote 1 – Dr. Rajiv Ratn Shah
9:45 – 11:00 amPaper Presentations
11:00 – 11:30 amNetworking & Tea Break
11:30 – 12:00 pmKeynote 2 – Dr. Parameswari Krishnamurthy
12:00 – 12:40 pmPosters & Interactive Discussions
12:45 – 1:00 pmCertificate Distribution & Closing

Organizers

  • Dr. A.M. Abirami, Thiagarajar College of Engineering, Madurai
  • Dr. D. Anitha, Thiagarajar College of Engineering, Madurai
  • Dr. Rajiv Ratn Shah, IIIT Delhi
  • Dr. K. Sarveswaran, University of Jaffna, Sri Lanka

Program Committee

  • Dr. S Mercy Shalinie, Thiagarajar College of Engineering, Madurai
  • Dr. C. Deisy, Thiagarajar College of Engineering, Madurai
  • Dr. S. Parthasarathy, Thiagarajar College of Engineering, Madurai
  • Dr. K. Sundarakantham, Thiagarajar College of Engineering, Madurai
  • Dr. J. Felicia Lilan, Thiagarajar College of Engineering, Madurai
  • Dr. Parameswari Krishnamurthy, IIIT Hyderabad
  • Dr. M. Anandkumar, NITK Surathkal
  • Dr. R. Suganya, VIT Chennai
  • Dr. R. Rajalakshmi, VIT Chennai
  • Dr. C N Subalalitha, SRM IST, Chennai
  • Dr. V. Dhanalakshmi, Pondicherry University
  • Mr. Himanshu Singh, Microsoft Hyderabad

For More Details : HiPC Workshop FAQ

Contact : gsnlp2025@gmail.com

IEEE Conduct and Safety Statement

IEEE believes that science, technology, and engineering are fundamental human activities, for which openness, international collaboration, and the free flow of talent and ideas are essential. Its meetings, conferences, and other events seek to enable engaging, thought provoking conversations that support IEEE’s core mission of advancing technology for humanity. Accordingly, IEEE is committed to providing a safe, productive, and welcoming environment to all participants, including staff and vendors, at IEEE-related events.

IEEE has no tolerance for discrimination, harassment, or bullying in any form at IEEE-related events. All participants have the right to pursue shared interests without harassment or discrimination in an environment that supports diversity and inclusion.

Participants are expected to adhere to these principles and respect the rights of others. IEEE seeks to provide a secure environment at its events. Participants should report any behavior inconsistent with the principles outlined here, to on site staff, security or venue personnel, or to [email protected].

Diversity and Inclusion

HiPC is committed to the promotion of diversity and inclusion in all professional activities. We encourage the diversity and welcome everyone regardless of age, gender identity, race, ethnicity, socioeconomic background, country of origin, religion, sexual orientation, physical ability, political views, education, and work experience.