3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Do LLMs Know They Are Being Tested? Evaluation Awareness and Incentive-Sensitive Failures in GPT-OSS-20B
Nisar Ahmed, Muhammad Imran Zaman, Gulshan Saleem +1
Benchmarks for large language models (LLMs) often rely on rubric-scented prompts that request visible reasoning and strict formatting, whereas real deployments demand terse, contra…
cs.CV2025
Deep Learning-Based Age Estimation and Gender Deep Learning-Based Age Estimation and Gender Classification for Targeted Advertisement
Muhammad Imran Zaman, Nisar Ahmed
This paper presents a novel deep learning-based approach for simultaneous age and gender classification from facial images, designed to enhance the effectiveness of targeted advert…
cs.CV2024★ 3 cited
Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Function
Muhammad Azeem Aslam, Wang Jun, Nisar Ahmed +5
In multi-label emotion classification, particularly for low-resource languages like Arabic, the challenges of class imbalance and label correlation hinder model performance, especi…