From the 1 of 7 linked papers with an AI index.
7 papers
Recursive Multi-Agent Systems
Jiaru Zou, Rui Pan, Ruizhong Qiu +8
The paper proposes RecursiveMAS, a framework that treats a multi-agent system as a recursive latent‑space computation, enabling agents to iteratively refine each other's thoughts a…
Self-Revising Discovery Systems for Science: A Categorical Framework for Agentic Artificial Intelligence
Fiona Y. Wang, Markus J. Buehler
Scientific discovery is not only answer generation but revision of the representational regime in which evidence, artifacts, operations, and verifiers are typed. We develop a categ…
ProjectionBench: Evaluating Scientific Hypothesis Generation in LLMs Under Progressive Information Disclosure
A. J. Lew, Y. Cao, M. J. Buehler
Scientific discovery is an inherently creative and uncertain process, requiring reasoning beyond the recall of known knowledge. While many benchmarks have been proposed to evaluate…
Cross-domain benchmarks reveal when coordinated AI agents improve scientific inference from partial evidence
Fiona Y. Wong, Markus J. Buehler
Scientific evidence often spans instruments, databases, and disciplines, so no single source records the full phenomenon. This makes it difficult to determine when coordinated AI a…
BeamPERL: Parameter-Efficient RL with Verifiable Rewards Specializes Compact LLMs for Structured Beam Mechanics Reasoning
Tarjei Paule Hage, Markus J. Buehler
Can reinforcement learning with hard, verifiable rewards teach a compact language model to reason about physics, or does it primarily learn to pattern-match toward correct answers?…
Bioinspired123D: Generative 3D Modeling System for Bioinspired Structures
Rachel K. Luu, Markus J. Buehler
Generative AI has made rapid progress in text, image, and video synthesis, yet text-to-3D modeling for scientific design remains particularly challenging due to limited controllabi…