Ax Martin Legrand, Tao Jiang, Matthieu Feraud, Benjamin Navet, Yousouf Taghzouti, Fabien Gandon, Elise Dumont, Louis-F\'elix Nothias 4/1/2026

Mimosa Framework: Toward Evolving Multi-Agent Systems for Scientific Research

Mimosa: Evolving multi-agent framework automatically synthesizing and refining task-specific LLM workflows for autonomous scientific research through experimental feedback.

Ax Daniel J. Singer, Luca Garzino Demo 4/1/2026

The Future of AI is Many, Not One

Theoretical perspective arguing AI research should shift from individual models toward multi-agent systems for innovation and scientific discovery.

Ax Jaewoong Lee, Taeun Bae, Jihan Kim 4/1/2026

SimMOF: AI agent for Automated MOF Simulations

SimMOF: LLM-based AI agent automating metal-organic framework simulations by handling workflow construction, parameter selection, and tool interoperability for computational chemistry.

Ax Junjie Zhang, Zhen Shen, Gang Xiong, Xisong Dong 4/1/2026

Grokking From Abstraction to Intelligence

Mechanistic study of grokking in modular arithmetic examining global structural evolution driving sudden generalization in neural networks.

Ax Bokang Jia, Samta Kamboj, Satheesh Katipomu, Seung Hun Han, Neha Sengupta, Andrew Jackson 4/1/2026

Nomad: Autonomous Exploration and Discovery

Nomad: Autonomous system for exploring document/database corpora and discovering insights without human query constraints using agentic exploration.

Ax Yacine Izza, Alexey Ignatiev, Xuanxiang Huang, Peter J. Stuckey, Joao Marques-Silva 4/1/2026

Rigorous Explanations for Tree Ensembles

Methods for generating human-interpretable explanations for tree ensemble model predictions to improve trustworthiness.

Ax Weixian Xu, Tiantian Mi, Yixiu Liu, Yang Nan, Zhimeng Zhou, Lyumanshan Ye, Lin Zhang, Yu Qiao, Pengfei Liu 4/1/2026

ASI-Evolve: AI Accelerates AI

ASI-Evolve: Agentic framework enabling AI systems to autonomously conduct AI research through learn-design-experiment-analyze cycles.