13 citations · 16 across the 4 of their papers we have counts for
4 papers
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…
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…
A Robust Deep Networks based Multi-Object MultiCamera Tracking System for City Scale Traffic
Muhammad Imran Zaman, Usama Ijaz Bajwa, Gulshan Saleem +1
Vision sensors are becoming more important in Intelligent Transportation Systems (ITS) for traffic monitoring, management, and optimization as the number of network cameras continu…
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…