most citedAutomated Personnel Selection for Software Engineers Using LLM-Based Profile Evaluation

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

When LLM meets Fuzzy-TOPSIS for Personnel Selection through Automated Profile Analysis

Shahria Hoque, Ahmed Akib Jawad Karim, Md. Golam Rabiul Alam +1

In this highly competitive employment environment, the selection of suitable personnel is essential for organizational success. This study presents an automated personnel selection…

cs.CL2024

Enhancing Multi-Class Disease Classification: Neoplasms, Cardiovascular, Nervous System, and Digestive Disorders Using Advanced LLMs

Ahmed Akib Jawad Karim, Muhammad Zawad Mahmud, Samiha Islam +1

In this research, we explored the improvement in terms of multi-class disease classification via pre-trained language models over Medical-Abstracts-TC-Corpus that spans five medica…

cs.SE2024★ 1 cited

Automated Personnel Selection for Software Engineers Using LLM-Based Profile Evaluation

Ahmed Akib Jawad Karim, Shahria Hoque, Md. Golam Rabiul Alam +1

Organizational success in todays competitive employment market depends on choosing the right staff. This work evaluates software engineer profiles using an automated staff selectio…

cs.CL2024

Strengthening False Information Propagation Detection: Leveraging SVM and Sophisticated Text Vectorization Techniques in comparison to BERT

Ahmed Akib Jawad Karim, Kazi Hafiz Md Asad, Aznur Azam

The rapid spread of misinformation, particularly through online platforms, underscores the urgent need for reliable detection systems. This study explores the utilization of machin…

cs.CL2024

Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation

Ahmed Akib Jawad Karim, Kazi Hafiz Md. Asad, Md. Golam Rabiul Alam

This work focuses on the efficiency of the knowledge distillation approach in generating a lightweight yet powerful BERT based model for natural language processing applications. A…

cs.CV2024

Advanced Vision Transformers and Open-Set Learning for Robust Mosquito Classification: A Novel Approach to Entomological Studies

Ahmed Akib Jawad Karim, Muhammad Zawad Mahmud, Riasat Khan

Mosquito-related diseases pose a significant threat to global public health, necessitating efficient and accurate mosquito classification for effective surveillance and control. Th…