Author: Afeerah Naseem

Afeerah Naseem
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Afeerah Naseem is a consulting intern at Marktechpost. She is pursuing her B.tech from the Indian Institute of Technology(IIT), Kharagpur. She is passionate about Data Science and fascinated by the role of artificial intelligence in solving real-world problems. She loves discovering new technologies and exploring how they can make everyday tasks easier and more efficient.

Revolutionizing Heuristic Design: Monte Carlo Tree Search Meets Large Language Models

AI Paper Summary
Heuristic designing is a practical and indispensable tool leveraged in standard fields like artificial intelligence and operations research to find satisfactory solutions to complex...

Introducing GS-LoRA++: A Novel Approach to Machine Unlearning for Vision Tasks

AI Paper Summary
Pre-trained vision models have been foundational to modern-day computer vision advances across various domains, such as image classification, object detection, and image segmentation. There...

CHASE: A Query Engine that is Natively Designed to Support Efficient Hybrid Queries on Structured and Unstructured Data

AI Paper Summary
Domains like social media analysis, e-commerce, and healthcare data management require querying through large chunks of structured and unstructured databases. In this modern world,...

This AI Research Developed a Question-Answering System based on Retrieval-Augmented Generation (RAG) Using Chinese Wikipedia and Lawbank as Retrieval Sources

AI Paper Summary
Knowledge Retrieval systems have been prevalent for decades in many industries, such as healthcare, education, research, finance, etc. Their modern-day usage has integrated large...

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation

AI Paper Summary
Owing to the advent of Artificial Intelligence (AI), the software industry has been leveraging Large Language Models (LLMs) for code completion, debugging, and generating...

PyG-SSL: An Open-Source Library for Graph Self-Supervised Learning and Compatible with Various Deep Learning and Scientific Computing Backends

AI Paper Summary
Complex domains like social media, molecular biology, and recommendation systems have graph-structured data that consists of nodes, edges, and their respective features. These nodes...

AutoGraph: An Automatic Graph Construction Framework based on LLMs for Recommendation

AI Paper Summary
Enhancing user experiences and boosting retention using recommendation systems is an effective and ever-evolving strategy used by many industries, such as e-commerce, streaming services,...

DiTCtrl: A Training-Free Multi-Prompt Video Generation Method Under MM-DiT Architectures

AI Paper Summary
Generative AI has revolutionized video synthesis, producing high-quality content with minimal human intervention. Multimodal frameworks combine the strengths of generative adversarial networks (GANs), autoregressive...

Meet AIArena: A Blockchain-Based Decentralized AI Training Platform

AI Paper Summary
The monopolization of any industry into the hands of a few giant companies has always been a matter of concern. Now, even artificial intelligence...

Frenzy: A Memory-Aware Serverless Computing Method for Heterogeneous GPU Clusters

AI Paper Summary
Artificial Intelligence (AI) has been making significant advances with an exponentially growing trajectory, incorporating vast amounts of data and building more complex Large Language...

This AI Paper from Microsoft and Oxford Introduce Olympus: A Universal Task Router for Computer Vision Tasks

AI Paper Summary
Computer vision models have made significant strides in solving individual tasks such as object detection, segmentation, and classification. Complex real-world applications such as autonomous...

How AI Models Learn to Solve Problems That Humans Can’t

AI Paper Summary
Natural Language processing uses large language models (LLMs) to enable applications such as language translation, sentiment analysis, speech recognition, and text summarization. These models...
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