Multi-modal attention network learning for semantic source code retrieval
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 …
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 …
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 …
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
Academic Knowledge Services have substantially facilitated the development of human
science and technology, providing a plenitude of useful research tools. However, many …
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
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 …
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
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 …
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 …
witnessed significant advancement. As the services provided by e-commerce platforms …
Probing product description generation via posterior distillation
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 …
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 …
adversarial networks (GANs) and auto-regressive transformers due to their remarkable …
InstructPTS: Instruction-tuning LLMs for product title summarization
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 …
sellers pack them with product attributes to improve retrieval, and highlight key product …