9 papers
Riazi-8B: An Urdu Large Language Model for Mathematical Reasoning
Azher Ali, Ibtsam Haider, Raja Khurram Shahzad +2
Recent LLMs demonstrate strong mathematical reasoning capabilities, but existing gains rely heavily on English-centric training resources and benchmarks. As a result, reasoning per…
ROMEVA: Geometry-Preserving Vocabulary Expansion for Roman Urdu Language Models
Mahnoor Khan, Afsheen Asif, Milhan Afzal Khan +2
Multilingual Language Models like mBERT are widely used for low-resource NLP, yet their adaptation to morphologically inconsistent languages such as Roman Urdu remains underexplore…
Not All Claims Are Equally Risky: FACTOR for Adaptive Verification in Factual Long-Form Generation
Areeba Hassan, Arooj Kausar, Syeda Kisaa Fatima +2
Large Language Models (LLMs) generate fluent long-form text, however, often add unsupported factual claims. Existing verification techniques improve factuality by grounding generat…
PRIME: Evaluating Prompt Resolution Under Incompatible Instructions in LLMs
Tehreem Javed, Shumaim Fatimah, Masooma Bakhtiari +2
Large language models (LLMs) often encounter conflicting prompts, although current instruction following benchmarks assess those meta-instructions in isolation, limiting the insigh…
From Affect Prediction to Affect Forecasting: Evidence for Distinct Information Sources in Longitudinal Text
Sadia Noor, Seemab Latif, Raja Khurram Shahzad +1
Modeling dimensional affect in longitudinal text requires distinguishing current affect estimation from future affective change forecasting. Existing approaches often treat each te…
A Multi-Domain Feature Fusion Framework for Generalizable Deepfake Detection Across Different Generators
Amna Amjid, Sana Qadir, Mehwish Fatima +1
Deepfakes are artificially generated images, audio, or videos that threaten privacy, security, and information integrity. Detecting such content is crucial for countering disinform…
Mathematical Reasoning in Large Language Models: Benchmarks, Architectures, Evaluation, and Open Challenges
Husnain Amjad, Raja Khurram Shahzad, Aamir Shahzad +1
Mathematical reasoning is essential for problem-solving in education, science, and industry, serving as a crucial benchmark for evaluating artificial intelligence systems. As Large…
Quantifying the Climate Risk of Generative AI: Region-Aware Carbon Accounting with G-TRACE and the AI Sustainability Pyramid
Zahida Kausar, Seemab Latif, Raja Khurram Shahzad +1
Generative Artificial Intelligence (GenAI) represents a rapidly expanding digital infrastructure whose energy demand and associated CO2 emissions are emerging as a new category of…
Optimizing Multi-Stuttered Speech Classification: Leveraging Whisper's Encoder for Efficient Parameter Reduction in Automated Assessment
Huma Ameer, Seemab Latif, Mehwish Fatima
The automated classification of stuttered speech has significant implications for timely assessments providing assistance to speech language pathologists. Despite notable advanceme…