Artificial Intelligence is evolving at an extraordinary pace—driven especially by the growth of Large Language Models (LLMs). These models are reshaping how we interact with both language and technology.
To advance research and innovation in this field, LLM Nexus 2025 calls on students, professionals, and researchers to submit original domain-specific papers. This initiative not only provides a platform to showcase your ideas but also allows you to contribute meaningfully to the global AI research ecosystem. Additionally, it offers visibility, collaboration, and the opportunity to influence the next wave of LLM developments.
Unlike conventional events, this conference functions as a collaborative space to share insights, identify emerging trends, and promote ethical AI innovation. Whether you’re focused on architecture, deployment, or real-world applications, this is your opportunity to create real impact.
📌 Event Details
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Paper Submission Deadline:20 th July 2025 (Extended)
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Conference Date: 17th Aug 2025
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Eligibility: Open to students, faculty, and professionals worldwide
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Format: 3–4 page paper in .docx format (double-column layout)
🧠 Themes
Architecture of LLMs
Explore model design breakthroughs, innovative scaling strategies, and performance enhancements.
LLMs in Real-World Applications
Demonstrate how LLMs are making a difference in healthcare, education, business, and content creation.
Ethics and Bias in LLMs
Confront challenges such as fairness, transparency, and responsible AI behavior.
Fine-Tuning and Domain Adaptation
Present adaptive strategies like prompt engineering, fine-tuning, and few-shot learning.
Efficient Deployment
Offer creative solutions for deploying LLMs in low-resource or high-latency environments.
Multimodal and Cross-Functional LLMs
Investigate how LLMs integrate with images, audio, or sensors to enrich user experiences.
🧑💻 What Participants Will Do
Participants will submit well-structured and original papers that align with LLM-related themes. Along with technical rigor, submissions must demonstrate creativity and clear relevance to current AI trends.
To ensure academic integrity, organizers will disqualify plagiarized or previously published work. Furthermore, papers should include clear real-world applications that justify their significance.
🎓 Learning Opportunities
During the event, participants will receive feedback from expert reviewers and AI professionals. Moreover, this interaction fosters collaboration and networking among global researchers.
Top papers will be selected for publication and rewarded with digital certificates. As a result, participants enhance both their academic profile and research credibility.
🏆 Judging Criteria
✅ Innovation & Impact – Does the idea introduce something fresh and valuable?
✅ Technical Clarity – Is the paper organized, detailed, and easy to understand?
✅ Relevance – Does the research align with the track and the broader field of LLMs?
✅ Ethical Consideration – Are bias, fairness, and social responsibility thoroughly addressed?
🔍 About the Conference
LLM Nexus 2025 brings together the brightest minds working on Large Language Models (LLMs) from across the world. The conference serves as a global platform to explore innovations, breakthroughs, applications, and ethical implications surrounding LLMs across various sectors.
Theme:
“Bridging Innovation and Responsibility in the Age of Language Intelligence”
🎯 Objectives
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Promote research and innovation in the architecture and deployment of LLMs
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Foster global collaboration between academia, industry, and policymakers
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Address issues related to safety, fairness, bias, and explainability in LLMs
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Empower developers and researchers through hands-on workshops and tutorials
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Explore real-world applications in healthcare, law, education, finance, and beyond
🧠 Who Should Attend
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AI/ML Researchers and Academicians
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NLP Engineers and Software Developers
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Data Scientists and Cloud Practitioners
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Government Policy Experts and Social Scientists
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Entrepreneurs, Startups, and Industry Leaders
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Graduate Students and LLM Enthusiasts
📌 Key Features
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Keynote Speeches by renowned global AI leaders
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Technical Paper Presentations across multiple LLM tracks
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Industry Demos & Showcases
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Ethics & Policy Roundtables
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Poster Sessions and Best Paper Awards
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Hands-on Workshops and Tutorials
🏆 Call for Submissions
Submit your original research, case studies, or visionary perspectives. Selected papers will be published in the official conference proceedings.
Tracks Include:
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Advances in LLM Design & Training
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Multimodal LLMs & Cross-Lingual Models
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Prompt Engineering & Few-shot Learning
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Privacy, Fairness, and Responsible AI
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LLM Applications in Vertical Domains
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Scaling, Optimization & Real-world Deployment
👨🏫 Conference Leadership
Conference Chairs:
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Dr. Pawan Whig (Senior IEEE Member), India — pawanwhig@gmail.com
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Dr. Nuno Silva, Chief Scientific and Technology Officer, London, UK
- Dr. Ahmad A. Elngar, Head of Computers and AI, Beni-Suef University, Egypt
- Dr. Anupriya Jain, Professor, School of Computer Applications, MRIIRS, India
Co-Conference Chairs:
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Dr. Pavika Sharma (India)
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Anusha Nerella (USA)
- Dr. Ashima Bhatnagar Bhatia (India)
- Dr. Kavita Mittal, Professor, CSE, JIMS University, India
👥 Technical Program Committee Members
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Ashok Kumar Reddy Nadikattu, Senior Software Engineer, Arissoft Technologies, USA
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Niharikareddy Meenigea, Data Analyst, Ablabs, USA
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Samrajyam Singu, Software Engineer, Vanguard, USA
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Mahesh Tunguturi, Senior DevOps Engineer, DXC, USA
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Venkata Ravi Kiran Kolla, Senior Data Engineer, DTE Energy, USA
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Rahul Reddy Naddikattu, University of the Cumberlands, USA
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Prof. (Dr.) Sandeep Kautish, Director-Academics, LBEF Campus, Kathmandu, Nepal
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Dr. Sudeep Tanwar, Professor, Nirma University, India & Visiting Professor, Poland and Romania
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Dr. Surendra Kumar, Former Senior Scientist, BARC
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Dr. Mirza Tariq Beg, Professor, Jamia Millia Islamia, India
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Dr. S. Naseem Ahmad, Retired Professor, JMI, India
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Dr. Imran Ahmed Khan, Professor, JMI, India
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Dr. Ravi Panwar, IIITDM Jabalpur, India
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Dr. Tajinder Singh Arora, Assistant Professor, NIT Uttarakhand
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Dr. Md Rashid Mahmood, Professor, GNITC, Hyderabad
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Monica Malik, Security Engineer, NetApp, Bangalore
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Dr. Manu Gupta, Associate Dean & Assistant Professor, Sreenidhi Institute, Hyderabad
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Dr. Vijay Singh, Himachal Pradesh University, India
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Dr. Umesh Pathak, Group Financial Controller, Nesuto, Australia
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Dr. Astha, Pharmacist In-charge, NSW, Australia
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Ms. Suman, Transport Officer, Sydney Metro, Australia
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Ms. Nishtha Rajput, Project Manager, VAMED, Germany
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Abhay Dutt Paroha, SLB, Houston, Texas, USA
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Dr. Megha, Associate Professor & Assistant Dean, DIT University, Dehradun, India
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Dr. Seema Sharma, MRIIRS, India
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Shirish Mane, Independent Researcher, USA
🤝 Participate & Connect
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Submit Your Research: Share your ideas and innovations
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Sponsor or Exhibit: Reach a global AI audience
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Volunteer or Review: Help shape the technical program
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Register Early: Limited seats for in-person participation