Author: Adeeba Alam Ansari

Adeeba Alam Ansari
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Adeeba Alam Ansari is currently pursuing her Dual Degree at the Indian Institute of Technology (IIT) Kharagpur, earning a B.Tech in Industrial Engineering and an M.Tech in Financial Engineering. With a keen interest in machine learning and artificial intelligence, she is an avid reader and an inquisitive individual. Adeeba firmly believes in the power of technology to empower society and promote welfare through innovative solutions driven by empathy and a deep understanding of real-world challenges.

Agent Prune: A Robust and Economic Multi-Agent Communication Framework for LLMs that Saves Cost and Removes Redundant and Malicious Contents

AI Paper Summary
"If you want to go fast, go alone. If you want to go far, go together": This African proverb aptly describes how multi-agent systems...

Vinoground: A Temporal Counterfactual Large Multimodal Models LMM Evaluation Benchmark Encompassing 1000 Short and Natural Video-Caption Pairs

AI Paper Summary
Generative Intelligence has remained a hot topic for some time, with the current world witnessing an unprecedented boom in AI-related innovations and research, especially...

XR-Objects: A New Open-Source Augmented Reality Prototype that Transforms Physical Objects into Interactive Digital Portals Using Real-Time Object Segmentation and Multimodal Large Language Models

AI Shorts
Advancements in Extended Reality (XR) have allowed for the fusion of real-world entities within the virtual world. However, despite the innumerable sensors, plethora of...

Researchers from UC Berkeley Present UnSAM in Computer Vision: A New Paradigm for Segmentation with Minimal Data, Achieving State-of-the-Art Results Without Human Annotation

AI Paper Summary
Transformer-based Models in Segmentation tasks have initiated a new transformation in the Computer Vision realm. Meta's Segment Anything Model has proven to be a...
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