Multi-modal attention network learning for semantic source code retrieval

Y Wan, J Shu, Y Sui, G Xu, Z Zhao… - 2019 34th IEEE/ACM …, 2019 - ieeexplore.ieee.org
Code retrieval techniques and tools have been playing a key role in facilitating software
developers to retrieve existing code fragments from available open-source repositories …

V2P: Vision-to-prompt based multi-modal product summary generation

X Song, L Jing, D Lin, Z Zhao, H Chen… - Proceedings of the 45th …, 2022 - dl.acm.org
Multi-modal Product Summary Generation is a new yet challenging task, which aims to
generate a concise and readable summary for a product given its multi-modal content, eg, its …

Competitive search

O Kurland, M Tennenholtz - Proceedings of the 45th International ACM …, 2022 - dl.acm.org
The Web is a canonical example of a competitive search setting that includes document
authors with ranking incentives: their goal is to promote their documents in rankings induced …

Oag-bert: Towards a unified backbone language model for academic knowledge services

X Liu, D Yin, J Zheng, X Zhang, P Zhang… - Proceedings of the 28th …, 2022 - dl.acm.org
Academic Knowledge Services have substantially facilitated the development of human
science and technology, providing a plenitude of useful research tools. However, many …

Examining cultural differences in Airbnb naming convention and user reception: an eye-tracking study

WCH Hong, HFB Ngan, J Yu… - Journal of Travel & Tourism …, 2023 - Taylor & Francis
Listing titles significantly impact consumer behaviors on shared-economy platforms (eg
Airbnb). Due to limited research on the length, informativeness, and creativity of titles in this …

Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels

B Yang, F Liu, Z Li, Q Yin, C You, B Yin… - arXiv preprint arXiv …, 2023 - arxiv.org
Generating an informative and attractive title for the product is a crucial task for e-commerce.
Most existing works follow the standard multimodal natural language generation …

Intelligent online selling point extraction for e-commerce recommendation

X Guo, S Wang, H Zhao, S Diao, J Chen… - Proceedings of the …, 2022 - ojs.aaai.org
In the past decade, automatic product description generation for e-commerce have
witnessed significant advancement. As the services provided by e-commerce platforms …

Probing product description generation via posterior distillation

H Zhan, H Zhang, H Chen, L Shen, Z Ding… - Proceedings of the …, 2021 - ojs.aaai.org
In product description generation (PDG), the user-cared aspect is critical for the
recommendation system, which can not only improve user's experiences but also obtain …

Image captioning by diffusion models: A survey

F Daneshfar, A Bartani, P Lotfi - Engineering Applications of Artificial …, 2024 - Elsevier
Diffusion models are increasingly favored over traditional approaches like generative
adversarial networks (GANs) and auto-regressive transformers due to their remarkable …

InstructPTS: Instruction-tuning LLMs for product title summarization

B Fetahu, Z Chen, O Rokhlenko, S Malmasi - arXiv preprint arXiv …, 2023 - arxiv.org
E-commerce product catalogs contain billions of items. Most products have lengthy titles, as
sellers pack them with product attributes to improve retrieval, and highlight key product …