3 citations · 4 across the 5 of their papers we have counts for
5 papers
Toward Intelligent Scene Augmentation for Context-Aware Object Placement and Sponsor-Logo Integration
Unnati Saraswat, Tarun Rao, Namah Gupta +4
Intelligent image editing increasingly relies on advances in computer vision, multimodal reasoning, and generative modeling. While vision-language models (VLMs) and diffusion model…
Sakshm AI: Advancing AI-Assisted Coding Education for Engineering Students in India Through Socratic Tutoring and Comprehensive Feedback
Raj Gupta, Harshita Goyal, Dhruv Kumar +4
The advent of Large Language Models (LLMs) is reshaping education, particularly in programming, by enhancing problem-solving, enabling personalized feedback, and supporting adaptiv…
TAMIGO: Empowering Teaching Assistants using LLM-assisted viva and code assessment in an Advanced Computing Class
Anishka IIITD, Diksha Sethi, Nipun Gupta +4
Large Language Models (LLMs) have significantly transformed the educational landscape, offering new tools for students, instructors, and teaching assistants. This paper investigate…
Analyzing LLM Usage in an Advanced Computing Class in India
Anupam Garg, Aryaman Raina, Aryan Gupta +10
This study examines the use of large language models (LLMs) by undergraduate and graduate students for programming assignments in advanced computing classes. Unlike existing resear…
Comuniqa : Exploring Large Language Models for improving speaking skills
Manas Mhasakar, Shikhar Sharma, Apurv Mehra +4
In this paper, we investigate the potential of Large Language Models (LLMs) to improve English speaking skills. This is particularly relevant in countries like India, where English…