AI
LoopVLA: Learning Sufficiency in Recurrent Refinement for Vision-Language-Action Models
Researchers have proposed a new approach to vision-language-action models called LoopVLA. This archi...
AI
ScreenSearch: Uncertainty-Aware OS Exploration
Researchers have developed a system called ScreenSearch to help desktop GUI agents navigate complex ...
AI
Pander Score: A Continuous Measure of Sycophancy as Epistemic Deference
Researchers have proposed a new measure called the Pander Score to quantify how much AI models pande...
AI
A Multimodal Agentic Pathology Co-pilot via Evidence Grounded Reasoning
Researchers have developed a tool called PathPocket that uses artificial intelligence to help pathol...
AI
ChatPlanner: A Large Language Model Framework for Personalized Public Transit Routing
Researchers have developed ChatPlanner, a framework for personalized public tran...
AI
Thinking Before Retrieving: Robust Zero-Shot Composed Image Retrieval via Strategic Planning and Self-Criticism
Researchers have proposed a new framework for zero-shot composed image retrieval...
AI
The Blind Curator: How a Biased Judge Silently Disables Skill Retirement in Self-Evolving Agents
A self-evolving agent retires its bad skills by watching them fail. However, if ...
AI
FormalAnalyticGeo: A Neural-Symbolic Based Framework for Multimodal Analytic Geometry Problem Generation
Researchers have developed a neural-symbolic framework called FormalAnalyticGeo ...