activity
20222026
most citedHumanity's Last Exam

23 citations · 28 across the 9 of their papers we have counts for

collaborators

9 papers

cs.MA2026

Architecture Matters for Multi-Agent Security

Ben Hagag, William L. Anderson, Christian Schroeder de Witt +1

Multi-agent systems (MAS), composed of networks of two or more autonomous AI agents, have become increasingly popular in production deployments, yet introduce security risks that d…

cs.LG2025

Sensitivity Analysis for Climate Science with Generative Flow Models

Alex Dobra, Jakiw Pidstrigach, Tim Reichelt +6

Sensitivity analysis is a cornerstone of climate science, essential for understanding phenomena ranging from storm intensity to long-term climate feedbacks. However, computing thes…

cs.CR20252 cited

Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents

Christian Schroeder de Witt, Klaudia Krawiecka, Igor Krawczuk +21

AI agents are beginning to interact with each other directly and across internet platforms and physical environments, creating security challenges beyond traditional cybersecurity…

cs.CL2025

AnnoCaseLaw: A Richly-Annotated Dataset For Benchmarking Explainable Legal Judgment Prediction

Magnus Sesodia, Alina Petrova, John Armour +5

Legal systems worldwide continue to struggle with overwhelming caseloads, limited judicial resources, and growing complexities in legal proceedings. Artificial intelligence (AI) of…

cs.AI20251 cited

Multi-Agent Security Tax: Trading Off Security and Collaboration Capabilities in Multi-Agent Systems

Pierre Peigne-Lefebvre, Mikolaj Kniejski, Filip Sondej +4

As AI agents are increasingly adopted to collaborate on complex objectives, ensuring the security of autonomous multi-agent systems becomes crucial. We develop simulations of agent…

cs.LG202523 cited

Humanity's Last Exam

Long Phan, Alice Gatti, Ziwen Han +1144

Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…