Search Results - "Afzal, Osama"

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  1. 1

    Pandemic disruptions in vaccine uptake in a low-income setting: a qualitative inquiry by Malik, Fauzia Aman, Ahsan, Nazia, Jabeen, Rawshan, Afzal, Osama, Siddiqi, Alysha, Khan, Ayub, Hopkins, Kathryn L, Kazi, Abdul Momin

    Published in BMC proceedings (09-11-2023)
    “…While the COVID-19 pandemic has exposed the vulnerabilities of immunization delivery systems globally, the devastating impact of the pandemic on immunization…”
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    Journal Article
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    On Smart Gaze Based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks by Mariam, Komal, Afzal, Osama Mohammed, Hussain, Wajahat, Javed, Muhammad Umar, Kiyani, Amber, Rajpoot, Nasir, Khurram, Syed Ali, Khan, Hassan Aqeel

    “…Unavailability of large training datasets is a bottleneck that needs to be overcome to realize the true potential of deep learning in histopathology…”
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    Journal Article
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    On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks by Mariam, Komal, Afzal, Osama Mohammed, Hussain, Wajahat, Javed, Muhammad Umar, Kiyani, Amber, Rajpoot, Nasir, Khurram, Syed Ali, Khan, Hassan Aqeel

    Published 06-02-2022
    “…Unavailability of large training datasets is a bottleneck that needs to be overcome to realize the true potential of deep learning in histopathology…”
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    Journal Article
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    Accuracy of diagnosis and relationship with quality of emergency medicine training program by Shahid, Muhammad, Hameed, Kamran, Iqbal, Romaina, Afzal, Osama, Nakeer, Rooham, Razzak, Junaid

    “…An indicator for emergency room performance is the ability to establish the correct diagnosis within the emergency room over the years. The authors chose to…”
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    Journal Article
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    Exploring the Limitations of Detecting Machine-Generated Text by Doughman, Jad, Afzal, Osama Mohammed, Toyin, Hawau Olamide, Shehata, Shady, Nakov, Preslav, Talat, Zeerak

    Published 16-06-2024
    “…Recent improvements in the quality of the generations by large language models have spurred research into identifying machine-generated text. Systems proposed…”
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  8. 8

    SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection by Wang, Yuxia, Mansurov, Jonibek, Ivanov, Petar, Su, Jinyan, Shelmanov, Artem, Tsvigun, Akim, Afzal, Osama Mohammed, Mahmoud, Tarek, Puccetti, Giovanni, Arnold, Thomas, Whitehouse, Chenxi, Aji, Alham Fikri, Habash, Nizar, Gurevych, Iryna, Nakov, Preslav

    Published 22-04-2024
    “…Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024) We present the results and the main findings of SemEval-2024 Task 8:…”
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    M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection by Wang, Yuxia, Mansurov, Jonibek, Ivanov, Petar, Su, Jinyan, Shelmanov, Artem, Tsvigun, Akim, Afzal, Osama Mohanned, Mahmoud, Tarek, Puccetti, Giovanni, Arnold, Thomas, Aji, Alham Fikri, Habash, Nizar, Gurevych, Iryna, Nakov, Preslav

    Published 16-02-2024
    “…ACL 2024 main The advent of Large Language Models (LLMs) has brought an unprecedented surge in machine-generated text (MGT) across diverse channels. This…”
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    Journal Article
  10. 10

    Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers by Wang, Yuxia, Reddy, Revanth Gangi, Mujahid, Zain Muhammad, Arora, Arnav, Rubashevskii, Aleksandr, Geng, Jiahui, Afzal, Osama Mohammed, Pan, Liangming, Borenstein, Nadav, Pillai, Aditya, Augenstein, Isabelle, Gurevych, Iryna, Nakov, Preslav

    Published 15-11-2023
    “…The increased use of large language models (LLMs) across a variety of real-world applications calls for mechanisms to verify the factual accuracy of their…”
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    M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection by Wang, Yuxia, Mansurov, Jonibek, Ivanov, Petar, Su, Jinyan, Shelmanov, Artem, Tsvigun, Akim, Whitehouse, Chenxi, Afzal, Osama Mohammed, Mahmoud, Tarek, Sasaki, Toru, Arnold, Thomas, Aji, Alham Fikri, Habash, Nizar, Gurevych, Iryna, Nakov, Preslav

    Published 24-05-2023
    “…Large language models (LLMs) have demonstrated remarkable capability to generate fluent responses to a wide variety of user queries. However, this has also…”
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    Journal Article
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