Greetings! I am Nikhil Sharma, a computer science PhD at Johns Hopkins University.

• Invited for a CLSP talk (Feb 2025) -- "Information Foraging with AI: Human Behavior, Systemic Auditing and Redesigning Knowledge Access"

• 🎓Started my Phd since August 2024!

• Accepted in NAACL main 2025 -- Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models is out!

• Interned @ Genentech in San Fransico during the summer of 2024 as an NLP Researcher working on embedding models.

• 🏆 Our paper on Generative Echo Chambers won the best paper award at CHI 2024. Watch video here.

• 📹Presented my work at City of Long Beach to the entire public interest tech community

• Our paper on Generative Echo Chamber was accepted in CHI 2024.

• Presented upcoming work on Vision Language Models at Wilmer Research Meeting 2024.

• Poster presentation @ AI-X Symposium: Presented a poster about Generative Echo Chambers @ AI-X

Once again, Hi! I’m Nikhil Sharma, a PhD student in computer science at Johns Hopkins University. I’m passionate about artificial intelligence, natural language processing, and human-computer interaction. I have extensive experience in developing data-driven AI applications using various methods and frameworks. I have worked on topics such as multimodal language models, human-AI collaboration, and cross-lingual understanding. On this website, you can find more information about my education, skills, projects, and publications. Feel free to contact me here if you have any questions or opportunities. Thank you for visiting!

Information is power and it shapes how society and policies are operated on. Today access to information, although diverse, is present in information silos which polarizes society and creates political and social divides. Now with the coming of multilingual Large Language Models and Retrieval Augmented Generation, we are herald into a new era with new possibilities to breakdown barriers due to language, voluminous nature of information, cost to diverse information, etc., and address some of the most critical societal problems such as Echo Chambers and Information Parity.