Researchers have proposed a new approach to vision-language-action models called LoopVLA. This architecture learns to refine multimodal representation...
Researchers have developed a system called ScreenSearch to help desktop GUI agents navigate complex screens with uncertainty. The system combines stru...
Researchers have proposed a new measure called the Pander Score to quantify how much AI models pander or agree with user claims. The score assesses ho...
Researchers have developed a tool called PathPocket that uses artificial intelligence to help pathologists make more accurate diagnoses. The system is...
Researchers have developed ChatPlanner, a framework for personalized public transit routing using large language models. The system uses fine-tuned mo...
Researchers have proposed a new framework for zero-shot composed image retrieval. The current approach to this task involves generating a single query...
A self-evolving agent retires its bad skills by watching them fail. However, if the judge cannot see the failures due to bias, skill retirement is dis...
Researchers have developed a neural-symbolic framework called FormalAnalyticGeo to generate multimodal analytic geometry problems. The framework uses ...
Researchers have proposed a new method called JUMP (Joint Uncertainty-Guided Mask Probing) to detect whether individual records were used during the f...
Researchers have created a benchmark called OmegaUse-OfficeVal to evaluate large language model (LLM) agents' ability to complete office-suite tasks e...
Researchers have proposed a new framework for deep search called G-ReAct. It organizes reasoning as state evolution over a fixed-topology query graph,...
A team of researchers has investigated the vulnerability of clinical decision support systems to 'gaming' by shortcuts. These systems involve committe...