Search Results - "Salman, Muhammad Umar"

Renewable and non‐renewable energy resources of Pakistan and their applicability under the current scenario in Pakistan by Asif, Muhammad, Salman, Muhammad Umar, Anwar, Saqaina, Gul, Maryam, Aslam, Reema

“…Energy is a basic need for human development but unfortunately, every country in the world has unequal energy reserves. The energy crisis is the most…”
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Rapid switching capability and efficient magnetoelectric coupling mediated by effective interfacial interactions in Bi0·9La0·1FeO3/SrCoO3 bi-phase composites for ultra-sensitive pulsating devices by Waqas, Umer, Salman, Muhammad Umar, Khan, Muhammad Ahmed, Ramay, Shahid M., Ahmad, Farooq, Riaz, Saira, Atiq, Shahid

“…Magnetoelectric coupling and switching charge density in multiferroics have gained the attention of researchers around the world for energy storage, energy…”
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Concurrent existence of magneto-electric coupling and electro-optic Kerr effect in perovskite-based ternary composites for energy reservoirs by Salman, Muhammad Umar, Waqas, Umer, Quader, Abdul, Ramay, Shahid M., Ur Rehman, M. Okash, Atiq, Shahid

“…Multiferroics, specifically magneto-electric materials that couple the ferroelectric and ferromagnetic responses, have boosted researchers' interest in…”
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Detecting Propaganda Techniques in Code-Switched Social Media Text by Salman, Muhammad Umar, Hanif, Asif, Shehata, Shady, Nakov, Preslav

“…Propaganda is a form of communication intended to influence the opinions and the mindset of the public to promote a particular agenda. With the rise of social…”
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Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs by Christophe, Clément, Raha, Tathagata, Maslenkova, Svetlana, Salman, Muhammad Umar, Kanithi, Praveen K, Pimentel, Marco AF, Khan, Shadab

“…Large Language Models (LLMs) have demonstrated significant potential in transforming clinical applications. In this study, we investigate the efficacy of four…”
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Named Clinical Entity Recognition Benchmark by Abdul, Wadood M, Pimentel, Marco AF, Salman, Muhammad Umar, Raha, Tathagata, Christophe, Clément, Kanithi, Praveen K, Hayat, Nasir, Rajan, Ronnie, Khan, Shadab

“…This technical report introduces a Named Clinical Entity Recognition Benchmark for evaluating language models in healthcare, addressing the crucial natural…”
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Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches by Christophe, Clément, Kanithi, Praveen K, Munjal, Prateek, Raha, Tathagata, Hayat, Nasir, Rajan, Ronnie, Al-Mahrooqi, Ahmed, Gupta, Avani, Salman, Muhammad Umar, Gosal, Gurpreet, Kanakiya, Bhargav, Chen, Charles, Vassilieva, Natalia, Amor, Boulbaba Ben, Pimentel, Marco AF, Khan, Shadab

“…This study presents a comprehensive analysis and comparison of two predominant fine-tuning methodologies - full-parameter fine-tuning and parameter-efficient…”
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