2 citations · 2 across the 4 of their papers we have counts for
5 papers
Improving Environment-Agnostic Agents: The Role of Scaffolding
Sergey Rodionov
Agents built on stronger language models may increasingly construct useful procedures for themselves, reducing the advantage of developer-supplied scaffolding. We investigate why t…
Do Coding Agents Need Executable World Models, Simplification, and Verification to Solve ARC-AGI-3?
Sergey Rodionov
Our previous ARC-AGI-3 agent bundled executable world modeling, prompted simplification, and exact replay verification, leaving their individual contributions unclear. An executabl…
Executable World Models for ARC-AGI-3 in the Era of Coding Agents
Sergey Rodionov
We evaluate an initial coding-agent system for ARC-AGI-3 in which the agent maintains an executable Python world model, verifies it against previous observations, refactors it towa…
MOCLIP: A Foundation Model for Large-Scale Nanophotonic Inverse Design
S. Rodionov, A. Burguete-Lopez, M. Makarenko +3
Foundation models (FM) are transforming artificial intelligence by enabling generalizable, data-efficient solutions across different domains for a broad range of applications. Howe…
An Evaluation of GPT-4 on the ETHICS Dataset
Sergey Rodionov, Zarathustra Amadeus Goertzel, Ben Goertzel
This report summarizes a short study of the performance of GPT-4 on the ETHICS dataset. The ETHICS dataset consists of five sub-datasets covering different fields of ethics: Justic…