Zobrazeno 1 - 10
of 328
pro vyhledávání: '"Zong, Shi"'
Autor:
Zong, Shi, Lin, Jimmy
There have been a huge number of benchmarks proposed to evaluate how large language models (LLMs) behave for logic inference tasks. However, it remains an open question how to properly evaluate this ability. In this paper, we provide a systematic ove
Externí odkaz:
http://arxiv.org/abs/2406.18762
Generating visually grounded image captions with specific linguistic styles using unpaired stylistic corpora is a challenging task, especially since we expect stylized captions with a wide variety of stylistic patterns. In this paper, we propose a no
Externí odkaz:
http://arxiv.org/abs/2308.01143
Autor:
Seltzer, Josh, Pan, Jiahua, Cheng, Kathy, Sun, Yuxiao, Kolagati, Santosh, Lin, Jimmy, Zong, Shi
Market research surveys are a powerful methodology for understanding consumer perspectives at scale, but are limited by depth of understanding and insights. A virtual moderator can introduce elements of qualitative research into surveys, developing a
Externí odkaz:
http://arxiv.org/abs/2305.08271
Industry practitioners always face the problem of choosing the appropriate model for deployment under different considerations, such as to maximize a metric that is crucial for production, or to reduce the total cost given financial concerns. In this
Externí odkaz:
http://arxiv.org/abs/2301.07006
Autor:
Ma, Zheng, Zong, Shi, Pan, Mianzhi, Zhang, Jianbing, Huang, Shujian, Dai, Xinyu, Chen, Jiajun
In recent years, vision and language pre-training (VLP) models have advanced the state-of-the-art results in a variety of cross-modal downstream tasks. Aligning cross-modal semantics is claimed to be one of the essential capabilities of VLP models. H
Externí odkaz:
http://arxiv.org/abs/2210.09550
In this paper, we consider a novel research problem: music-to-text synaesthesia. Different from the classical music tagging problem that classifies a music recording into pre-defined categories, music-to-text synaesthesia aims to generate descriptive
Externí odkaz:
http://arxiv.org/abs/2210.00434
Complaining is a speech act that expresses a negative inconsistency between reality and human expectations. While prior studies mostly focus on identifying the existence or the type of complaints, in this work, we present the first study in computati
Externí odkaz:
http://arxiv.org/abs/2204.09366
Huge volumes of patient queries are daily generated on online health forums, rendering manual doctor allocation a labor-intensive task. To better help patients, this paper studies a novel task of doctor recommendation to enable automatic pairing of a
Externí odkaz:
http://arxiv.org/abs/2203.02932
Autor:
Zhang, Hao, Cui, Yingchun, Zong, Shi, Chen, Shaocong, Ma, Lijie, Wang, Weixuan, Wang, Xuejiao, Li, Shenggui, Liu, Chenguang
Publikováno v:
In Marine Geology January 2025 479
Autor:
Wang, Shuhe, Li, Jiwei, Meng, Yuxian, Ouyang, Rongbin, Wang, Guoyin, Li, Xiaoya, Zhang, Tianwei, Zong, Shi
$k$NN based neural machine translation ($k$NN-MT) has achieved state-of-the-art results in a variety of MT tasks. One significant shortcoming of $k$NN-MT lies in its inefficiency in identifying the $k$ nearest neighbors of the query representation fr
Externí odkaz:
http://arxiv.org/abs/2112.08152