Abstract Generative Artificial Intelligence models are Artificial Intelligence models that
generate new content based on a prompt or input. The output content can be in various …

We study an auction setting in which bidders bid for placement of their content within a
summary generated by a large language model (LLM), eg, an ad auction in which the …

Emerging technologies like the Internet of Things, big data analytics, blockchain, and
artificial intelligence (AI) have significantly transformed business operations. Among these …

We address the challenge of aggregating the preferences of multiple agents over LLM-
generated replies to user queries, where agents might modify or exaggerate their …

This paper presents the Customer Experience (CX) Simulator, a novel framework designed
to assess the effects of untested web-marketing campaigns through user behavior …

Recent research on fine-tuning large language models (LLMs) through the aggregation of
multiple preferences has attracted considerable attention. However, the existing literature …

Online marketing faces formidable challenges in managing and interpreting immense
volumes of data necessary for competitor analysis, content research, and strategic branding …

The potential move from search to question answering (QA) ignited the question of how
should the move from sponsored search to sponsored QA look like. We present the first …

Online advertising has become a major component of today's Web, fueled by advanced
tracking mechanisms and profiling algorithms. The boom of social media in the mid-2000s …

We study the design of auctions with dynamic scoring, which allocate a single item
according to a given scoring rule. We are motivated by online advertising auctions when …