Zobrazeno 1 - 10
of 591
pro vyhledávání: '"Zhang Wenlin"'
Autor:
Zhang, Wenlin, Wu, Chuhan, Li, Xiangyang, Wang, Yuhao, Dong, Kuicai, Wang, Yichao, Dai, Xinyi, Zhao, Xiangyu, Guo, Huifeng, Tang, Ruiming
Recommender systems aim to predict user interest based on historical behavioral data. They are mainly designed in sequential pipelines, requiring lots of data to train different sub-systems, and are hard to scale to new domains. Recently, Large Langu
Externí odkaz:
http://arxiv.org/abs/2404.00702
Early diagnosis of Alzheimer's Disease (AD) is very important for following medical treatments, and eye movements under special visual stimuli may serve as a potential non-invasive biomarker for detecting cognitive abnormalities of AD patients. In th
Externí odkaz:
http://arxiv.org/abs/2403.10124
In recent years, large language models (LLMs) have spurred a new research paradigm in natural language processing. Despite their excellent capability in knowledge-based question answering and reasoning, their potential to retain faulty or even harmfu
Externí odkaz:
http://arxiv.org/abs/2311.15766
With the emergence of large language models (LLMs), multimodal models based on LLMs have demonstrated significant potential. Models such as LLaSM, X-LLM, and SpeechGPT exhibit an impressive ability to comprehend and generate human instructions. Howev
Externí odkaz:
http://arxiv.org/abs/2310.02050
Autor:
Zhao, Yilun, Zhao, Chen, Nan, Linyong, Qi, Zhenting, Zhang, Wenlin, Tang, Xiangru, Mi, Boyu, Radev, Dragomir
Despite significant progress having been made in question answering on tabular data (Table QA), it's unclear whether, and to what extent existing Table QA models are robust to task-specific perturbations, e.g., replacing key question entities or shuf
Externí odkaz:
http://arxiv.org/abs/2306.14321
Publikováno v:
IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 31, 2023
The end-to-end speech translation (E2E-ST) model has gradually become a mainstream paradigm due to its low latency and less error propagation. However, it is non-trivial to train such a model well due to the task complexity and data scarcity. The spe
Externí odkaz:
http://arxiv.org/abs/2304.10309
Existing techniques often attempt to make knowledge transfer from a powerful machine translation (MT) to speech translation (ST) model with some elaborate techniques, which often requires transcription as extra input during training. However, transcr
Externí odkaz:
http://arxiv.org/abs/2304.10295
Publikováno v:
In Neurocomputing 7 December 2024 609
Autor:
Sun, Xuehua, Wang, Huan, Wang, Wenhui, Li, Yuanpu, Wang, Kangning, Zhang, Qianhui, Zhang, Wenlin, Wang, Jianwei
Publikováno v:
In Journal of Energy Storage 1 October 2024 99 Part A
Publikováno v:
In Neurocomputing 21 January 2025 614