Zobrazeno 1 - 10
of 115
pro vyhledávání: '"YU Botao"'
Autor:
LI Haoping, DU Xinyi, ZHU Chengbiao, JIN Zhuhong, CHEN Xinyi, YU Botao, LI Jingrui, AN Yuting
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 4, Pp 603-611 (2024)
Purposes In actual processing of factories, the varying health status of each machine can cause machine failures and subsequently affect the processing and construction time. This article focuses on the problem of flexible job shops with machine dist
Externí odkaz:
https://doaj.org/article/445916c9cd05423b85123828683294cf
Autor:
Chen, Ziru, Chen, Shijie, Ning, Yuting, Zhang, Qianheng, Wang, Boshi, Yu, Botao, Li, Yifei, Liao, Zeyi, Wei, Chen, Lu, Zitong, Dey, Vishal, Xue, Mingyi, Baker, Frazier N., Burns, Benjamin, Adu-Ampratwum, Daniel, Huang, Xuhui, Ning, Xia, Gao, Song, Su, Yu, Sun, Huan
The advancements of language language models (LLMs) have piqued growing interest in developing LLM-based language agents to automate scientific discovery end-to-end, which has sparked both excitement and skepticism about the true capabilities of such
Externí odkaz:
http://arxiv.org/abs/2410.05080
Autor:
Yue, Xiang, Zheng, Tianyu, Ni, Yuansheng, Wang, Yubo, Zhang, Kai, Tong, Shengbang, Sun, Yuxuan, Yu, Botao, Zhang, Ge, Sun, Huan, Su, Yu, Chen, Wenhu, Neubig, Graham
This paper introduces MMMU-Pro, a robust version of the Massive Multi-discipline Multimodal Understanding and Reasoning (MMMU) benchmark. MMMU-Pro rigorously assesses multimodal models' true understanding and reasoning capabilities through a three-st
Externí odkaz:
http://arxiv.org/abs/2409.02813
Chemistry plays a crucial role in many domains, such as drug discovery and material science. While large language models (LLMs) such as GPT-4 exhibit remarkable capabilities on natural language processing tasks, existing research indicates that their
Externí odkaz:
http://arxiv.org/abs/2402.09391
Autor:
Yue, Xiang, Ni, Yuansheng, Zhang, Kai, Zheng, Tianyu, Liu, Ruoqi, Zhang, Ge, Stevens, Samuel, Jiang, Dongfu, Ren, Weiming, Sun, Yuxuan, Wei, Cong, Yu, Botao, Yuan, Ruibin, Sun, Renliang, Yin, Ming, Zheng, Boyuan, Yang, Zhenzhu, Liu, Yibo, Huang, Wenhao, Sun, Huan, Su, Yu, Chen, Wenhu
We introduce MMMU: a new benchmark designed to evaluate multimodal models on massive multi-discipline tasks demanding college-level subject knowledge and deliberate reasoning. MMMU includes 11.5K meticulously collected multimodal questions from colle
Externí odkaz:
http://arxiv.org/abs/2311.16502
Music is used to convey emotions, and thus generating emotional music is important in automatic music generation. Previous work on emotional music generation directly uses annotated emotion labels as control signals, which suffers from subjective bia
Externí odkaz:
http://arxiv.org/abs/2307.01229
Generating music from text descriptions is a user-friendly mode since the text is a relatively easy interface for user engagement. While some approaches utilize texts to control music audio generation, editing musical elements in generated audio is c
Externí odkaz:
http://arxiv.org/abs/2306.00110
Autor:
Yu, Botao, Lu, Peiling, Wang, Rui, Hu, Wei, Tan, Xu, Ye, Wei, Zhang, Shikun, Qin, Tao, Liu, Tie-Yan
Symbolic music generation aims to generate music scores automatically. A recent trend is to use Transformer or its variants in music generation, which is, however, suboptimal, because the full attention cannot efficiently model the typically long mus
Externí odkaz:
http://arxiv.org/abs/2210.10349
Human usually composes music by organizing elements according to the musical form to express music ideas. However, for neural network-based music generation, it is difficult to do so due to the lack of labelled data on musical form. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2208.14345
Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction
Distantly supervised relation extraction (RE) automatically aligns unstructured text with relation instances in a knowledge base (KB). Due to the incompleteness of current KBs, sentences implying certain relations may be annotated as N/A instances, w
Externí odkaz:
http://arxiv.org/abs/2109.02099