May 8, 2026
Rethinking Vacuity for OOD Detection in Evidential Deep Learning
Rethinking Vacuity for OOD Detection in Evidential Deep Learning This paper investigates a critical evaluation flaw in Evidential Deep Learning (EDL) when ap...
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
May 8, 2026
MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems
MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems Multi-agent systems (MAS) use multiple specialized AI agents to solve complex tasks, but t...
May 8, 2026
Process Matters more than Output for Distinguishing Humans from Machines
Process Matters more than Output for Distinguishing Humans from Machines This paper investigates a growing challenge in the age of advanced artificial intell...
May 8, 2026
AI Co-Mathematician: Accelerating Mathematicians with Agentic AI
AI Co-Mathematician: Accelerating Mathematicians with Agentic AI introduces a new workbench designed to help mathematicians conduct open-ended research by in...
May 7, 2026
Uno-Orchestra: Parsimonious Agent Routing via Selective Delegation
Uno-Orchestra: Parsimonious Agent Routing via Selective Delegation Large language model (LLM) systems often struggle to balance performance with cost.
May 7, 2026
Position: Embodied AI Requires a Privacy-Utility Trade-off
Position: Embodied AI Requires a Privacy-Utility Trade-off Embodied AI (EAI) systems—robots that navigate and interact with the real world—are moving from co...
May 7, 2026
AgentTrust: Runtime Safety Evaluation and Interception for AI Agent Tool Use
AgentTrust is a safety framework designed to prevent AI agents from causing accidental or malicious harm when they interact with real-world systems.
May 7, 2026
On-line Learning in Tree MDPs by Treating Policies as Bandit Arms
This paper introduces a new approach for on-line learning in Tree Markov Decision Problems (T-MDPs), a specific type of decision-making environment where eve...
May 7, 2026
DecodingTrust-Agent Platform (DTap): A Controllable and Interactive Red-Teaming Platform for AI Agents
AI agents are increasingly being used to automate complex tasks, but their ability to interact with external tools and data also makes them vulnerable to sec...
May 7, 2026
Curated AI beats frontier LLMs at pharma asset discovery
Curated AI beats frontier LLMs at pharma asset discovery This paper investigates how to improve the accuracy and comprehensiveness of AI tools used to scout...
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