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
-
Paper Submission Deadline:10th July 2025
-
Conference Date: 17th Aug 2025
-
Eligibility: Open to students, faculty, and professionals worldwide
-
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?