3 papers
cs.SE2024
SuperCoder2.0: Technical Report on Exploring the feasibility of LLMs as Autonomous Programmer
Anmol Gautam, Kishore Kumar, Adarsh Jha +2
We present SuperCoder2.0, an advanced autonomous system designed to enhance software development through artificial intelligence. The system combines an AI-native development appro…
cs.HC2024
GUIDE: Graphical User Interface Data for Execution
Rajat Chawla, Adarsh Jha, Muskaan Kumar +2
In this paper, we introduce GUIDE, a novel dataset tailored for the advancement of Multimodal Large Language Model (MLLM) applications, particularly focusing on Robotic Process Aut…
cs.CV2024
Veagle: Advancements in Multimodal Representation Learning
Rajat Chawla, Arkajit Datta, Tushar Verma +6
Lately, researchers in artificial intelligence have been really interested in how language and vision come together, giving rise to the development of multimodal models that aim to…