Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Fang, Tianqing"'
Autor:
Wang, Zhaowei, Zhang, Hongming, Fang, Tianqing, Tian, Ye, Yang, Yue, Ma, Kaixin, Pan, Xiaoman, Song, Yangqiu, Yu, Dong
Object navigation in unknown environments is crucial for deploying embodied agents in real-world applications. While we have witnessed huge progress due to large-scale scene datasets, faster simulators, and stronger models, previous studies mainly fo
Externí odkaz:
http://arxiv.org/abs/2410.02730
Autor:
Jia, Mengzhao, Yu, Wenhao, Ma, Kaixin, Fang, Tianqing, Zhang, Zhihan, Ouyang, Siru, Zhang, Hongming, Jiang, Meng, Yu, Dong
Text-rich images, where text serves as the central visual element guiding the overall understanding, are prevalent in real-world applications, such as presentation slides, scanned documents, and webpage snapshots. Tasks involving multiple text-rich i
Externí odkaz:
http://arxiv.org/abs/2410.01744
Autor:
Zheng, Tianshi, Bai, Jiaxin, Wang, Yicheng, Fang, Tianqing, Guo, Yue, Yim, Yauwai, Song, Yangqiu
While large language models (LLMs) have demonstrated impressive capabilities across various natural language processing tasks by acquiring rich factual knowledge from their broad training data, their ability to synthesize and logically reason with th
Externí odkaz:
http://arxiv.org/abs/2407.20564
Autor:
Wang, Weiqi, Fang, Tianqing, Shi, Haochen, Xu, Baixuan, Ding, Wenxuan, Zhang, Liyu, Fan, Wei, Bai, Jiaxin, Li, Haoran, Liu, Xin, Song, Yangqiu
Entity- and event-level conceptualization, as fundamental elements of human cognition, plays a pivotal role in generalizable reasoning. This process involves abstracting specific instances into higher-level concepts and forming abstract knowledge tha
Externí odkaz:
http://arxiv.org/abs/2406.10885
Autor:
Xu, Baixuan, Wang, Weiqi, Shi, Haochen, Ding, Wenxuan, Jing, Huihao, Fang, Tianqing, Bai, Jiaxin, Chen, Long, Song, Yangqiu
Improving user experience and providing personalized search results in E-commerce platforms heavily rely on understanding purchase intention. However, existing methods for acquiring large-scale intentions bank on distilling large language models with
Externí odkaz:
http://arxiv.org/abs/2406.10701
Autor:
Ding, Wenxuan, Wang, Weiqi, Kwok, Sze Heng Douglas, Liu, Minghao, Fang, Tianqing, Bai, Jiaxin, Liu, Xin, Yu, Changlong, Li, Zheng, Luo, Chen, Yin, Qingyu, Yin, Bing, He, Junxian, Song, Yangqiu
Enhancing Language Models' (LMs) ability to understand purchase intentions in E-commerce scenarios is crucial for their effective assistance in various downstream tasks. However, previous approaches that distill intentions from LMs often fail to gene
Externí odkaz:
http://arxiv.org/abs/2406.10173
Autor:
Xiao, Xiongye, Liu, Gengshuo, Gupta, Gaurav, Cao, Defu, Li, Shixuan, Li, Yaxing, Fang, Tianqing, Cheng, Mingxi, Bogdan, Paul
Integrating and processing information from various sources or modalities are critical for obtaining a comprehensive and accurate perception of the real world in autonomous systems and cyber-physical systems. Drawing inspiration from neuroscience, we
Externí odkaz:
http://arxiv.org/abs/2404.09403
Event commonsense reasoning requires the ability to reason about the relationship between events, as well as infer implicit context underlying that relationship. However, data scarcity makes it challenging for language models to learn to generate com
Externí odkaz:
http://arxiv.org/abs/2403.07398
Autor:
Wang, Zhaowei, Fan, Wei, Zong, Qing, Zhang, Hongming, Choi, Sehyun, Fang, Tianqing, Liu, Xin, Song, Yangqiu, Wong, Ginny Y., See, Simon
Abstraction ability is crucial in human intelligence, which can also benefit various tasks in NLP study. Existing work shows that LLMs are deficient in abstract ability, and how to improve it remains unexplored. In this work, we design the framework
Externí odkaz:
http://arxiv.org/abs/2402.10646
Commonsense knowledge graph completion is a new challenge for commonsense knowledge graph construction and application. In contrast to factual knowledge graphs such as Freebase and YAGO, commonsense knowledge graphs (CSKGs; e.g., ConceptNet) utilize
Externí odkaz:
http://arxiv.org/abs/2402.09666