Zobrazeno 1 - 10
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pro vyhledávání: '"Wang, Xiaobin"'
Autor:
Ye, Jingheng, Jiang, Yong, Wang, Xiaobin, Li, Yinghui, Li, Yangning, Zheng, Hai-Tao, Xie, Pengjun, Huang, Fei
This paper introduces the task of product demand clarification within an e-commercial scenario, where the user commences the conversation with ambiguous queries and the task-oriented agent is designed to achieve more accurate and tailored product sea
Externí odkaz:
http://arxiv.org/abs/2407.00942
We propose an efficacious approach to derive the generalized parton distributions for the pion and proton, based upon prior knowledge of their respective parton distribution functions (PDFs). Our method leverages on integral representations of the el
Externí odkaz:
http://arxiv.org/abs/2406.09644
A recent study by Wang {\it et al.}(arXiv:2309.01417) proposed a novel connection between the nature of the parton distribution function (PDF) and the characteristics of its moments. In this study, we apply these findings to analyze the evolution of
Externí odkaz:
http://arxiv.org/abs/2403.01937
We present DIALIGHT, a toolkit for developing and evaluating multilingual Task-Oriented Dialogue (ToD) systems which facilitates systematic evaluations and comparisons between ToD systems using fine-tuning of Pretrained Language Models (PLMs) and tho
Externí odkaz:
http://arxiv.org/abs/2401.02208
Autor:
Ma, Shirong, Huang, Shen, Huang, Shulin, Wang, Xiaobin, Li, Yangning, Zheng, Hai-Tao, Xie, Pengjun, Huang, Fei, Jiang, Yong
Large Language Models (LLMs) pre-trained on massive corpora have exhibited remarkable performance on various NLP tasks. However, applying these models to specific domains still poses significant challenges, such as lack of domain knowledge, limited c
Externí odkaz:
http://arxiv.org/abs/2312.15696
We study the surface composition of asteroids with visible and/or infrared spectroscopy. For example, asteroid taxonomy is based on the spectral features or multiple color indices in visible and near-infrared wavelengths. The composition of asteroids
Externí odkaz:
http://arxiv.org/abs/2311.10954
A new method based on the maximum entropy principle for reconstructing the parton distribution function (PDF) from moments is proposed. Unlike traditional methods, the new method no longer needs to introduce any artificial assumptions. For the case o
Externí odkaz:
http://arxiv.org/abs/2309.01417
We apply a classical mathematical problem, the moment problem, with its related mathematical achievements, to the study of the parton distribution function (PDF) in hadron physics, and propose a strategy to sieve the moments of the PDF by exploiting
Externí odkaz:
http://arxiv.org/abs/2308.14871
Autor:
Yu, Tianyu, Jiang, Chengyue, Lou, Chao, Huang, Shen, Wang, Xiaobin, Liu, Wei, Cai, Jiong, Li, Yangning, Li, Yinghui, Tu, Kewei, Zheng, Hai-Tao, Zhang, Ningyu, Xie, Pengjun, Huang, Fei, Jiang, Yong
Large language models (LLMs) have shown impressive ability for open-domain NLP tasks. However, LLMs are sometimes too footloose for natural language understanding (NLU) tasks which always have restricted output and input format. Their performances on
Externí odkaz:
http://arxiv.org/abs/2308.10529
Autor:
Li, Yangning, Ma, Shirong, Wang, Xiaobin, Huang, Shen, Jiang, Chengyue, Zheng, Hai-Tao, Xie, Pengjun, Huang, Fei, Jiang, Yong
Recently, instruction-following Large Language Models (LLMs) , represented by ChatGPT, have exhibited exceptional performance in general Natural Language Processing (NLP) tasks. However, the unique characteristics of E-commerce data pose significant
Externí odkaz:
http://arxiv.org/abs/2308.06966