Výsledky vyhledávání - "Zhang, Menghan"

Report

On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe

Autor: Xu, Ningyu, Zhang, Qi, Zhang, Menghan, Qian, Peng, Huang, Xuanjing

Probing and enhancing large language models' reasoning capacity remains a crucial open question. Here we re-purpose the reverse dictionary task as a case study to probe LLMs' capacity for conceptual inference. We use in-context learning to guide the

Externí odkaz: http://arxiv.org/abs/2402.14404

Zobrazit plný text záznamu

Report

The molecular pathology of genioglossus in obstructive sleep apnea

Autor: Zhang, Menghan, Liu, Yuehua

Obstructive sleep apnea (OSA) is a sleep respiratory disease characterized by sleep snoring accompanied by apnea and daytime sleeplessness. It is a complex disease, with the multifactorial etiology, and the pathology is incompletely understood. Genio

Externí odkaz: http://arxiv.org/abs/2311.01320

Zobrazit plný text záznamu

Report

The management of obstructive sleep apnea accompanied with mandibular retrognathia across the lifespan from orthodontic perspective

Autor: Zhang, Menghan, Liu, Yuehua

Obstructive sleep apnea (OSA) is a complex disease with complex etiology, which requires multidisciplinary cooperation in diagnosis and treatment. Mandibular retrognathia is strongly associated with OSA. Orthodontists can either correct the mandibula

Externí odkaz: http://arxiv.org/abs/2311.01324

Zobrazit plný text záznamu

Report

Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization

Autor: Xu, Ningyu, Zhang, Qi, Ye, Jingting, Zhang, Menghan, Huang, Xuanjing

Large language models (LLMs) have exhibited considerable cross-lingual generalization abilities, whereby they implicitly transfer knowledge across languages. However, the transfer is not equally successful for all languages, especially for low-resour

Externí odkaz: http://arxiv.org/abs/2310.12794

Zobrazit plný text záznamu

Report

Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model

Autor: Wang, Xiao, Zhou, Weikang, Zhang, Qi, Zhou, Jie, Gao, Songyang, Wang, Junzhe, Zhang, Menghan, Gao, Xiang, Chen, Yunwen, Gui, Tao

Pretrained language models have achieved remarkable success in various natural language processing tasks. However, pretraining has recently shifted toward larger models and larger data, and this has resulted in significant computational and energy co

Externí odkaz: http://arxiv.org/abs/2305.12816

Zobrazit plný text záznamu

Report

Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?

Autor: Xu, Ningyu, Gui, Tao, Ma, Ruotian, Zhang, Qi, Ye, Jingting, Zhang, Menghan, Huang, Xuanjing

Multilingual BERT (mBERT) has demonstrated considerable cross-lingual syntactic ability, whereby it enables effective zero-shot cross-lingual transfer of syntactic knowledge. The transfer is more successful between some languages, but it is not well

Externí odkaz: http://arxiv.org/abs/2212.10879

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání