collaborators

11 papers

cs.AI2026

Human agency in initial human-AI proof formalization workflows

Katherine M. Collins, Simon Frieder, Jonas Bayer +14

For centuries, human mathematicians have written proofs to substantiate their mathematical arguments; yet, the ability to automatically verify the validity of proofs has long been…

cs.CL2026

Multi-agent AI systems outperform human teams in creativity

Tiancheng Hu, Yixuan Jiang, Haotian Li +5

Although artificial intelligence (AI) now matches or exceeds human performance across numerous cognitive tasks, creativity remains a highly contested frontier. As AI systems based…

cs.LG2026

From Human-Level AI Tales to AI Leveling Human Scales

Peter Romero, Fernando Martínez-Plumed, Zachary R. Tidler +11

Comparing AI models to "human level" is often misleading when benchmark scores are incommensurate or human baselines are drawn from a narrow population. To address this, we propose…

cs.AI2026

AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games

Lance Ying, Ryan Truong, Prafull Sharma +9

Rigorously evaluating machine intelligence against the broad spectrum of human general intelligence has become increasingly important and challenging in this era of rapid technolog…

cs.CY2026

Measuring What AI Systems Might Do: Towards A Measurement Science in AI

Konstantinos Voudouris, Mirko Thalmann, Alex Kipnis +2

Scientists, policy-makers, business leaders, and members of the public care about what modern artificial intelligence systems are disposed to do. Yet terms such as capabilities, pr…

cs.AI2025

Measuring Data Science Automation: A Survey of Evaluation Tools for AI Assistants and Agents

Irene Testini, José Hernández-Orallo, Lorenzo Pacchiardi

Data science aims to extract insights from data to support decision-making processes. Recently, Large Language Models (LLMs) have been increasingly used as assistants for data scie…