6 citations · 10 across the 6 of their papers we have counts for
7 papers
Welcome to the Age of Agent Ads: Using On-Policy Attacks to Steer Agentic Decisions
Tim R. Davidson, Marija Šakota, Joshua Joseph +1
People increasingly delegate option-ranking tasks (e.g., shopping, job search, travel) to AI agents, which creates incentives to steer agentic decisions via "agent ads." To defend…
Integrating Machine-Generated Short Descriptions into the Wikipedia Android App: A Pilot Deployment of Descartes
Marija Šakota, Dmitry Brant, Cooltey Feng +7
Short descriptions are a key part of the Wikipedia user experience, but their coverage remains uneven across languages and topics. In previous work, we introduced Descartes, a mult…
Combining Constrained and Unconstrained Decoding via Boosting: BoostCD and Its Application to Information Extraction
Marija Šakota, Robert West
Many recent approaches to structured NLP tasks use an autoregressive language model to map unstructured input text to output text representing structured objects (such…
Edisum: Summarizing and Explaining Wikipedia Edits at Scale
Marija Šakota, Isaac Johnson, Guosheng Feng +1
An edit summary is a succinct comment written by a Wikipedia editor explaining the nature of, and reasons for, an edit to a Wikipedia page. Edit summaries are crucial for maintaini…
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction
Martin Josifoski, Marija Sakota, Maxime Peyrard +1
Large language models (LLMs) have great potential for synthetic data generation. This work shows that useful data can be synthetically generated even for tasks that cannot be solve…
Descartes: Generating Short Descriptions of Wikipedia Articles
Marija Sakota, Maxime Peyrard, Robert West
Wikipedia is one of the richest knowledge sources on the Web today. In order to facilitate navigating, searching, and maintaining its content, Wikipedia's guidelines state that all…
Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle Relocation
Panayiotis Danassis, Marija Sakota, Aris Filos-Ratsikas +1
We study the optimization of large-scale, real-time ridesharing systems and propose a modular design methodology, Component Algorithms for Ridesharing (CAR). We evaluate a diverse…