Zobrazeno 1 - 10
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pro vyhledávání: '"Yang, Shiping"'
Benefiting from diverse instruction datasets, contemporary Large Language Models (LLMs) perform effectively as AI assistants in collaborating with humans. However, LLMs still struggle to generate natural and colloquial responses in real-world applica
Externí odkaz:
http://arxiv.org/abs/2408.09330
In this work, we tackle the scenario of understanding characters in scripts, which aims to learn the characters' personalities and identities from their utterances. We begin by analyzing several challenges in this scenario, and then propose a multi-l
Externí odkaz:
http://arxiv.org/abs/2310.13231
Large Language Models (LLMs) have shown their ability to collaborate effectively with humans in real-world scenarios. However, LLMs are apt to generate hallucinations, i.e., makeup incorrect text and unverified information, which can cause significan
Externí odkaz:
http://arxiv.org/abs/2310.06498
Sentence Simplification is a valuable technique that can benefit language learners and children a lot. However, current research focuses more on English sentence simplification. The development of Chinese sentence simplification is relatively slow du
Externí odkaz:
http://arxiv.org/abs/2306.04188
Evaluating text summarization is a challenging problem, and existing evaluation metrics are far from satisfactory. In this study, we explored ChatGPT's ability to perform human-like summarization evaluation using four human evaluation methods on five
Externí odkaz:
http://arxiv.org/abs/2304.02554
With the demand for standardized large-scale livestock farming and the development of artificial intelligence technology, a lot of research in area of animal face recognition were carried on pigs, cattle, sheep and other livestock. Face recognition c
Externí odkaz:
http://arxiv.org/abs/2210.17146
Recently, pre-trained transformer-based models have achieved great success in the task of definition generation (DG). However, previous encoder-decoder models lack effective representation learning to contain full semantic components of the given wor
Externí odkaz:
http://arxiv.org/abs/2210.00543
Publikováno v:
In Biomaterials Advances October 2024 163
Autor:
Sun, Yun, Li, Chao, Liu, Zhaoyang, Tang, Chaojie, Cui, Zhankun, Zhou, Zhiguo, Liu, Qian, Wang, Wu, Yang, Shiping, Yang, Hong
Publikováno v:
In Chemical Engineering Journal 1 September 2024 495
Autor:
Yang, Shiping, Yuan, Yunhao, Chen, Cheng, Luo, Junliang, Li, Guojian, Jian, Jichang, Cai, Shuanghu, Liu, Huiling
Publikováno v:
In Aquaculture Reports December 2024 39