activity
20232026
most citedA Comprehensive Study of Vision Transformers in Image Classification Tasks

10 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SE2026

RAG-Reflect: Agentic Retrieval-Augmented Generation with Reflections for Comment-Driven Code Maintenance on Stack Overflow

Mehedi Hasan Shanto, Muhammad Asaduzzaman, Alioune Ngom

User comments on online programming platforms such as Stack Overflow play a vital role in maintaining the correctness and relevance of shared code examples. However, the majority o…

cs.CV2025

Representation Learning with Adaptive Superpixel Coding

Mahmoud Khalil, Ahmad Khalil, Alioune Ngom

Deep learning vision models are typically tailored for specific modalities and often rely on domain-specific assumptions, such as the grid structures used by nearly all existing vi…

cs.CV2025

ResNetVLLM -- Multi-modal Vision LLM for the Video Understanding Task

Ahmad Khalil, Mahmoud Khalil, Alioune Ngom

In this paper, we introduce ResNetVLLM (ResNet Vision LLM), a novel cross-modal framework for zero-shot video understanding that integrates a ResNet-based visual encoder with a Lar…

cs.CV2025

ResNetVLLM-2: Addressing ResNetVLLM's Multi-Modal Hallucinations

Ahmad Khalil, Mahmoud Khalil, Alioune Ngom

Large Language Models (LLMs) have transformed natural language processing (NLP) tasks, but they suffer from hallucination, generating plausible yet factually incorrect content. Thi…

q-bio.BM2024★ 3 cited

Can Large Language Models Understand Molecules?

Shaghayegh Sadeghi, Alan Bui, Ali Forooghi +2

Purpose: Large Language Models (LLMs) like GPT (Generative Pre-trained Transformer) from OpenAI and LLaMA (Large Language Model Meta AI) from Meta AI are increasingly recognized fo…

cs.CV2023★ 10 cited

A Comprehensive Study of Vision Transformers in Image Classification Tasks

Mahmoud Khalil, Ahmad Khalil, Alioune Ngom

Image Classification is a fundamental task in the field of computer vision that frequently serves as a benchmark for gauging advancements in Computer Vision. Over the past few year…