2 citations · 4 across the 7 of their papers we have counts for
7 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…
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…
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…
Cross-Lingual News Event Correlation for Stock Market Trend Prediction
Sahar Arshad, Nikhar Azhar, Sana Sajid +2
In the modern economic landscape, integrating financial services with Financial Technology (FinTech) has become essential, particularly in stock trend analysis. This study addresse…
A Benchmark Dataset with Larger Context for Non-Factoid Question Answering over Islamic Text
Faiza Qamar, Seemab Latif, Rabia Latif
Accessing and comprehending religious texts, particularly the Quran (the sacred scripture of Islam) and Ahadith (the corpus of the sayings or traditions of the Prophet Muhammad), i…
Enhancing Profitability and Investor Confidence through Interpretable AI Models for Investment Decisions
Sahar Arshad, Seemab Latif, Ahmad Salman +1
Financial forecasting plays an important role in making informed decisions for financial stakeholders, specifically in the stock exchange market. In a traditional setting, investor…