1 citations · 1 across the 7 of their papers we have counts for
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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…
Safeguarding AI Agents: Developing and Analyzing Safety Architectures
Ishaan Domkundwar, Mukunda N S, Ishaan Bhola +1
AI agents, specifically powered by large language models, have demonstrated exceptional capabilities in various applications where precision and efficacy are necessary. However, th…
V-Zen: Efficient GUI Understanding and Precise Grounding With A Novel Multimodal LLM
Abdur Rahman, Rajat Chawla, Muskaan Kumar +4
In the rapidly evolving landscape of AI research and application, Multimodal Large Language Models (MLLMs) have emerged as a transformative force, adept at interpreting and integra…
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…
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…