Dingyao Yu
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Investigating the impact of decent work perception on employee voice behavior: evidence from text mining Open
The purpose of this study is to explore how five specific sub-items of employees’ perception of decent work affect their voice behaviors, particularly prohibitive voice behaviors. This research aims to delve deeper into this niche area and…
Unlocking the Service Attractiveness of <span>AI</span> Assistants: Does Multi‐Modal Anthropomorphic Interaction Dynamically Manipulate Users' Mindset Metrics? Open
The rapid rise of AI assistants is providing users with a more engaging and intelligent service experience. However, what drives the attractiveness of these multi‐modal anthropomorphic AI agents and how they influence users' mindset metric…
Navigating the Carbon Challenge: Strategic Integration of Hybrid Policies in Green Supply Chains Open
In the context of climate change, the increasing urgency to mitigate environmental impacts has driven firms to adopt green supply chain strategies. Existing research primarily focuses on either carbon tax or emission trading schemes, leavi…
Harnessing Empathy: The Power of Emotional Resonance in Live Streaming Sales and the Moderating Magic of Product Type Open
The emotional expressions in live streaming e-commerce possess a strong contagious effect, enabling viewers to easily resonate with the specific emotions conveyed by the streamers and consciously build an empathy transmission chain. This s…
Economic vs. ecological benefit for organic food: the role of perceived values in online consumer reviews Open
Introduction With the growing awareness of sustainable development, organic food has been favored by consumers due to its advantages in both human health and environmental sustainability. However, the economic and ecological values of orga…
Assist me or replace me? Uncovering the influence of AI awareness on employees’ counterproductive work behaviors Open
Objective Drawing on the conservation of resources theory (COR), the research aims to reveal the influence of artificial intelligence (AI) awareness on employees’ mental health and behaviors, particularly examining whether and how employee…
Under the context of competition between platform sales and live streaming sales, who has the pricing power of products? Open
The rapid rise of live-streaming selling and the increasing diversity of e-commerce channels have sparked ongoing debates regarding product pricing power. This price competition behaviour of online dual channels triggered by the supply-sid…
Uncovering effects of virtual endorser’s attractiveness on consumer behaviors from the perspective of national culture Open
In the context of social media, more and more enterprises take virtual endorsers for brand marketing. Investigating people's preferences and concerns about virtual endorsers' characteristics and seeking to understand users' feedback on the…
Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction Open
Chinese Spelling Correction (CSC) commonly lacks large-scale high-quality corpora, due to the labor-intensive labeling of spelling errors in real-life human writing or typing scenarios. Two data augmentation methods are widely adopted: (1)…
Warmth trumps competence? Uncovering the influence of multimodal AI anthropomorphic interaction experience on intelligent service evaluation: Insights from the high-evoked automated social presence Open
The rapid rise of multimodal AI anthropomorphic interaction assistants has subverted the traditional human-computer interaction. Based on social cognitive theory, our study aims to validate the effectiveness of the strategy to improve user…
Do photos matter? the effect of hosts’ facial features on customers’ booking intentions in peer-to-peer accommodation: heterogeneity of host gender Open
This study aims to investigate the effect of hosts’ facial features of different genders on customers’ booking intentions on the Airbnb shared accommodation platform. A comprehensive model was built to analyze hosts’ facial features in the…
How do patients' perceptions and doctors' images impact patient decisions? Deconstructing online physician selection using multimodal data Open
In the post-pandemic era, medical resources are uneven, and access to healthcare is complicated. Online medical platforms have become a solution to bridge the information gap and reduce hospital pressure. This study uses the stereotype con…
Enablers or Inhibitors? Unpacking the Emotional Power Behind In-Vehicle AI Anthropomorphic Interaction: A Dual-Factor Approach by Text Mining Open
The intelligent strategy of the new energy vehicle (NEV) industry has triggered the rapid prevalence of in-vehicle anthropomorphic artificial intelligence (AI) assistants. There is still a lack of clarity regarding NEV users' attitudes tow…
MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models Open
AI-empowered music processing is a diverse field that encompasses dozens of tasks, ranging from generation tasks (e.g., timbre synthesis) to comprehension tasks (e.g., music classification). For developers and amateurs, it is very difficul…
Sequence Generation with Label Augmentation for Relation Extraction Open
Sequence generation demonstrates promising performance in recent information extraction efforts, by incorporating large-scale pre-trained Seq2Seq models. This paper investigates the merits of employing sequence generation in relation extra…
View article: CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information Retrieval
CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information Retrieval Open
We introduce CLaMP: Contrastive Language-Music Pre-training, which learns cross-modal representations between natural language and symbolic music using a music encoder and a text encoder trained jointly with a contrastive loss. To pre-trai…
Research on the Influence Mechanism of Organic Food Attributes on Customer Trust Open
Based on the quality level that consumers can discover at various stages, the literature summary divides organic food attributes into three categories: trust, search, and experience. This paper deeply analyzes the internal relationship amo…
Exploring thematic influences on theme park visitors' satisfaction: An empirical study on Disneyland China Open
This study aims to explore thematic influences on theme park visitors' satisfaction through user‐generated data. To this end, we first used an unsupervised machine learning method, structural topic modeling, and analyzed 112,000 reviews po…
The effect of credence attributes on willingness to pay a premium for organic food: A moderated mediation model of attitudes and uncertainty Open
Objective With consumers’ concerns about food safety and the environment growing, the interest in organic food has increased. However, due to the late start of the organic food market in China, the market size of the Chinese organic food i…
Improving Knowledge Graph Completion with Generative Hard Negative Mining Open
Contrastive learning has recently shown great potential to improve text-based knowledge graph completion (KGC). In this paper, we propose to learn a more semantically structured entity representation space in text-based KGC via hard negati…
MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models Open
Dingyao Yu, Kaitao Song, Peiling Lu, Tianyu He, Xu Tan, Wei Ye, Shikun Zhang, Jiang Bian. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. 2023.
Sequence Generation with Label Augmentation for Relation Extraction Open
Sequence generation demonstrates promising performance in recent information extraction efforts, by incorporating large-scale pre-trained Seq2Seq models. This paper investigates the merits of employing sequence generation in relation extra…
Is negative e-WOM more powerful? Multimodal data analysis on air passengers’ perception of COVID-19 safety measures Open
During the normalization stage of the COVID-19 epidemic prevention and control, the safety threats caused by improper epidemic prevention measures of airlines have become the primary concern for air passengers. Negative e-WOM related to sa…