Zobrazeno 1 - 10
of 2 352
pro vyhledávání: '"Shi, Ning"'
Recent studies have demonstrated the potential to control paraphrase generation, such as through syntax, which has broad applications in various downstream tasks. However, these methods often require detailed parse trees or syntactic exemplars, count
Externí odkaz:
http://arxiv.org/abs/2405.11277
Autor:
Ogezi, Michael, Shi, Ning
In text-to-image generation, using negative prompts, which describe undesirable image characteristics, can significantly boost image quality. However, producing good negative prompts is manual and tedious. To address this, we propose NegOpt, a novel
Externí odkaz:
http://arxiv.org/abs/2403.07605
Autor:
Zhang, Xiaofan, Zhang, Fan, Jia, Kunpeng, Liu, Yunfeng, shi, Haosen, Jiang, Yanyi, Jiang, Xiaoshun, Ma, Longsheng, Liang, Wei, Xie, Zhenda, Zhu, Shi-ning
Self-injection locking scheme has the potential to narrow the linewidth of lasers in a compact setup. Here, we report a narrow linewidth laser source near 1 {\mu}m by self-injection locking scheme using a Fabry-Perot (FP) hollow resonator with a high
Externí odkaz:
http://arxiv.org/abs/2403.06163
Autor:
Zhao, Zexing, Wang, Chenyu, Qiu, Jingyuan, Ye, Zhilin, Yin, Zhijun, Jia, Kunpeng, Tian, Xiaohui, Xie, Zhenda, Zhu, Shi-Ning
Optical frequency comb based on microresonator (microcomb) is an integrated coherent light source and has the potential to promise a high-precision frequency standard, and self-reference and long-term stable microcomb is the key to this realization.
Externí odkaz:
http://arxiv.org/abs/2311.14568
Recent advancements in multimodal techniques open exciting possibilities for models excelling in diverse tasks involving text, audio, and image processing. Models like GPT-4V, blending computer vision and language modeling, excel in complex text and
Externí odkaz:
http://arxiv.org/abs/2310.12520
We describe the systems of the University of Alberta team for the SemEval-2023 Visual Word Sense Disambiguation (V-WSD) Task. We present a novel algorithm that leverages glosses retrieved from BabelNet, in combination with text and image encoders. Fu
Externí odkaz:
http://arxiv.org/abs/2306.14067
Publikováno v:
Phys. Rev. Applied 19, 064014 (2023)
On-chip mode division (de)multiplexing plays a significant role in the integrated devices to greatly improve communication capacity. One of the pursuing goals of mode division (de)multiplexer is how to realize such devices with larger bandwidth and b
Externí odkaz:
http://arxiv.org/abs/2306.04100
Autor:
Chen, Yangyi, Gao, Hongcheng, Cui, Ganqu, Yuan, Lifan, Kong, Dehan, Wu, Hanlu, Shi, Ning, Yuan, Bo, Huang, Longtao, Xue, Hui, Liu, Zhiyuan, Sun, Maosong, Ji, Heng
Textual adversarial attacks can discover models' weaknesses by adding semantic-preserved but misleading perturbations to the inputs. The long-lasting adversarial attack-and-defense arms race in Natural Language Processing (NLP) is algorithm-centric,
Externí odkaz:
http://arxiv.org/abs/2305.18503
Large Language Models (LLMs) have demonstrated exceptional natural language understanding abilities and have excelled in a variety of natural language processing (NLP)tasks in recent years. Despite the fact that most LLMs are trained predominantly in
Externí odkaz:
http://arxiv.org/abs/2305.16339
Autor:
Wang, Zekun, Zhang, Ge, Yang, Kexin, Shi, Ning, Zhou, Wangchunshu, Hao, Shaochun, Xiong, Guangzheng, Li, Yizhi, Sim, Mong Yuan, Chen, Xiuying, Zhu, Qingqing, Yang, Zhenzhu, Nik, Adam, Liu, Qi, Lin, Chenghua, Wang, Shi, Liu, Ruibo, Chen, Wenhu, Xu, Ke, Liu, Dayiheng, Guo, Yike, Fu, Jie
Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within the field of NLP, aimed at addressing limitations in existing frameworks while aligning with the ultimate goals of artificial intelligence. This paradigm considers
Externí odkaz:
http://arxiv.org/abs/2305.13246