Zobrazeno 1 - 10
of 5 932
pro vyhledávání: '"Hsu, Ming"'
Autor:
Gunew, Sneja
Publikováno v:
Antipodes, 2019 Dec 01. 33(2), 378-392.
Externí odkaz:
https://www.jstor.org/stable/10.13110/antipodes.33.2.0378
Publikováno v:
Ming Studies; May2024, Vol. 2024 Issue 89, p54-56, 3p
Autor:
Qiaoqiao, Zhou, Omar, Noritah
Publikováno v:
GEMA Online Journal of Language Studies; Aug2023, Vol. 23 Issue 3, p175-189, 15p
Autor:
Broinowski, Alison, Teo, Hsu-Ming
Publikováno v:
Antipodes, 2009 Dec 01. 23(2), 190-195.
Externí odkaz:
https://www.jstor.org/stable/41957813
This paper presents Meta-Whisper, a novel approach to improve automatic speech recognition (ASR) for low-resource languages using the Whisper model. By leveraging Meta In-Context Learning (Meta-ICL) and a k-Nearest Neighbors (KNN) algorithm for sampl
Externí odkaz:
http://arxiv.org/abs/2409.10429
Autor:
Teo, Hsu-Ming, Fresno-Calleja, Paloma
This book explores how postmillennial Anglophone women writers use romantic narrativisations of history to explore, revise, repurpose and challenge the past in their novels, exposing the extent to which past societies were damaging to women by instea
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/90800
Autor:
Shih, Min-Han, Chung, Ho-Lam, Pai, Yu-Chi, Hsu, Ming-Hao, Lin, Guan-Ting, Li, Shang-Wen, Lee, Hung-yi
Publikováno v:
Proc. Interspeech 2024, 2970-2974
In recent advancements in spoken question answering (QA), end-to-end models have made significant strides. However, previous research has primarily focused on extractive span selection. While this extractive-based approach is effective when answers a
Externí odkaz:
http://arxiv.org/abs/2312.09781
Ever since the development of GPT-3 in the natural language processing (NLP) field, in-context learning (ICL) has played an essential role in utilizing large language models (LLMs). By presenting the LM utterance-label demonstrations at the input, th
Externí odkaz:
http://arxiv.org/abs/2310.12477