يعرض 1 - 10 نتائج من 22 نتيجة بحث عن '"Fathullah, Yassir"', وقت الاستعلام: 0.97s تنقيح النتائج
  1. 1
    مؤتمر
    Prompting Large Language Models with Speech Recognition Abilities

    المؤلفون: Fathullah, Yassir, Wu, Chunyang, Lakomkin, Egor, Jia, Junteng, Shangguan, Yuan, Li, Ke, Guo, Jinxi, Xiong, Wenhan, Mahadeokar, Jay, Kalinli, Ozlem, Fuegen, Christian, Seltzer, Mike

    المصدر: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2024 - 2024 IEEE International Conference on. :13351-13355 Apr, 2024

    Relation: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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  2. 2
    مؤتمر
    TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models

    المؤلفون: Shangguan, Yuan, Yang, Haichuan, Li, Danni, Wu, Chunyang, Fathullah, Yassir, Wang, Dilin, Dalmia, Ayushi, Krishnamoorthi, Raghuraman, Kalinli, Ozlem, Jia, Junteng, Mahadeokar, Jay, Lei, Xin, Seltzer, Mike, Chandra, Vikas

    المصدر: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2024 - 2024 IEEE International Conference on. :10216-10220 Apr, 2024

    Relation: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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  3. 3
    مؤتمر
    End-to-End Speech Recognition Contextualization with Large Language Models

    المؤلفون: Lakomkin, Egor, Wu, Chunyang, Fathullah, Yassir, Kalinli, Ozlem, Seltzer, Michael L., Fuegen, Christian

    المصدر: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2024 - 2024 IEEE International Conference on. :12406-12410 Apr, 2024

    Relation: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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  4. 4
    تقرير
    Cross-Lingual Transfer Learning for Speech Translation

    المؤلفون: Ma, Rao, Fathullah, Yassir, Qian, Mengjie, Tang, Siyuan, Gales, Mark, Knill, Kate

    مصطلحات موضوعية: Computer Science - Computation and Language

    URL الوصول: http://arxiv.org/abs/2407.01130

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  5. 5
    تقرير
    Efficient LLM Comparative Assessment: a Product of Experts Framework for Pairwise Comparisons

    المؤلفون: Liusie, Adian, Raina, Vatsal, Fathullah, Yassir, Gales, Mark

    مصطلحات موضوعية: Computer Science - Computation and Language

    URL الوصول: http://arxiv.org/abs/2405.05894

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  6. 6
    تقرير
    Efficient Sample-Specific Encoder Perturbations

    المؤلفون: Fathullah, Yassir, Gales, Mark J. F.

    مصطلحات موضوعية: Computer Science - Computation and Language, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2405.01601

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  7. 7
    تقرير
    Teacher-Student Training for Debiasing: General Permutation Debiasing for Large Language Models

    المؤلفون: Liusie, Adian, Fathullah, Yassir, Gales, Mark J. F.

    مصطلحات موضوعية: Computer Science - Computation and Language

    URL الوصول: http://arxiv.org/abs/2403.13590

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  8. 8
    تقرير
    AudioChatLlama: Towards General-Purpose Speech Abilities for LLMs

    المؤلفون: Fathullah, Yassir, Wu, Chunyang, Lakomkin, Egor, Li, Ke, Jia, Junteng, Shangguan, Yuan, Mahadeokar, Jay, Kalinli, Ozlem, Fuegen, Christian, Seltzer, Mike

    مصطلحات موضوعية: Computer Science - Computation and Language, Computer Science - Artificial Intelligence

    URL الوصول: http://arxiv.org/abs/2311.06753

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  9. 9
    تقرير
    End-to-End Speech Recognition Contextualization with Large Language Models

    المؤلفون: Lakomkin, Egor, Wu, Chunyang, Fathullah, Yassir, Kalinli, Ozlem, Seltzer, Michael L., Fuegen, Christian

    مصطلحات موضوعية: Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Machine Learning, Computer Science - Sound

    URL الوصول: http://arxiv.org/abs/2309.10917

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  10. 10
    تقرير
    TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models

    المؤلفون: Shangguan, Yuan, Yang, Haichuan, Li, Danni, Wu, Chunyang, Fathullah, Yassir, Wang, Dilin, Dalmia, Ayushi, Krishnamoorthi, Raghuraman, Kalinli, Ozlem, Jia, Junteng, Mahadeokar, Jay, Lei, Xin, Seltzer, Mike, Chandra, Vikas

    مصطلحات موضوعية: Computer Science - Computation and Language, Computer Science - Machine Learning, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

    URL الوصول: http://arxiv.org/abs/2309.01947

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