Composed image retrieval (CIR) is a new and flexible image retrieval paradigm, which can
retrieve the target image for a multimodal query, including a reference image and its …

The opaqueness of modern digital advertising, exemplified by platforms such as Meta Ads,
raises concerns regarding their autonomous control over audience targeting, pricing …

Enlightened by the big success of pre-training in natural language processing, pre-trained
models for programming languages have been widely used to promote code intelligence in …

Information retrieval (IR) is a fundamental technique that aims to acquire information from a
collection of documents, web pages, or other sources. While traditional text-based IR has …

Recent advancements in video-language understanding have been established on the
foundation of image-text models, resulting in promising outcomes due to the shared …

Currently, micro-videos have gained widespread acceptance as a prominent form of user-
generated content across various social media platforms. Accurate event analysis of micro …

Sequential recommendation (SR) models are typically trained on user-item interactions
which are affected by the system exposure bias, leading to the user preference learned from …

Composed Image Retrieval (CIR) is a challenging task that aims to retrieve the target image
based on a multimodal query, ie, a reference image and its corresponding modification text …

Program translation aims to convert the input programs from one programming language to
another. Automatic program translation is a prized target of software engineering research …

Real-time matching between customer demands and product information via text-image
retrieval remains a fundamental problem in intelligent retailing. However, this process …