Try a different search term.
Please close the search and try again.
Deepfakes are increasingly realistic and easy to produce, raising concerns about the reliability of human judgments in misinformation settings. We study audiovisual deepfake …
Traditionally, relevance judgments have relied on human annotators, but recent advances in Large Language Models (LLMs) have prompted growing interest in their use as a proxy for …
Many analyses have been performed on Information Retrieval (IR) evaluation benchmarks. Benchmarking also plays a central role in evaluating the capabilities of Large Language …
Scientific publishing is expanding rapidly across disciplines, making it increasingly difficult for researchers to organize, filter, and synthesize the literature. Systematic …
Assessing the truthfulness of information is a critical task in fact-checking and is typically performed using binary or coarse ordinal scales (2–6 levels), though fine-grained …
Patient Information Leaflets (PILs) provide essential information about medication usage, side effects, precautions, and interactions, making them a valuable resource for Question …
Evaluating the truthfulness of online content is critical for combating misinformation. This study examines the efficiency and effectiveness of crowdsourced truthfulness …
This paper presents an agent-based model for interacting with regional healthcare system services in the Friuli-Venezia Giulia (FVG) region. The model is designed to streamline and …
We investigate solution methods for the Oven Scheduling Problem (OSP), a parallel batch scheduling optimization problem in semiconductor manufacturing, using Search Trajectory …
The scholarly publishing process relies on peer review to uphold the quality of scientific knowledge. However, challenges such as increasing submission volumes and potential …