AI
\textsc{TestifAI}: Tomography-Based Testing for Deep Learning Systems
Researchers have developed a testing framework called TestifAI to evaluate the robustness of deep le...
AI
Breaking the weakest link to evade vision language models
Researchers have found that vision language models (VLMs) can be easily manipulated by adding small,...
AI
A Theory of Post-hoc Debate Judgement
Researchers have proposed a new theory of post-hoc debate judgement for artificial intelligence syst...
AI
Self-prompting and cross-model consensus enable reproducible data extraction from scientific literature with large language models
Researchers have developed a method for using large language models to extract nuanced information f...
AI
Adaptive Memory and Reflection Multi-Agent System for Medical Question Answering
Researchers have developed an adaptive memory and reflection multi-agent system ...
AI
Eureka: Task-Conditioned Meta-Agent Orchestration for Scientific Discovery
Researchers have developed a new AI architecture called Eureka that can tackle c...
AI
What is Missing from AI Post-Training AI: An Empirical Analysis
Researchers from various institutions analyzed post-training trajectories of lar...
AI
Robust Risk Under Evolving Uncertainty: A Wasserstein Counterpart of the Entropic Value-at-Risk
Researchers have proposed a new risk measure called the Wasserstein entropic val...