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External pipelines · RISE project catalogue

Zochi (Intology)

An end-to-end "artificial scientist" system from Intology, claimed to span hypothesis generation through to peer-reviewed publication. Differentiates itself from earlier AI-scientist releases by publishing the *outputs* — accepted ACL 2025 and ICLR 2025 workshop papers (CS-ReFT, Tempest/Siege) with reported state-of-the-art results — rather than only the pipeline.

Indexed in RISE · activeConformance with the standard plannedProject site

What it does

The strongest *external-validation* claim in the AI-scientist landscape: peer-reviewed acceptances of papers produced by the system, including ACL 2025 main proceedings. The repository releases code and a technical report covering an earlier version of the system.

Focus
end-to-end
Inputs
research-area
Outputs
paper-draft, code, experiment-results
Architecture
multi-agent, tool-use, iterative-loop, artifact-versioning
Maintained by
Andy Zhou and Intology team
Started
2025

Description

Data model
Discipline
Computer science
Method family
not specified
Design
not specified
Research stage
HypothesesResearch designData analysisCode generationDraftingRevision and editingReview
Contributors
Andy Zhou and Intology team
Usage
not used in published research yet
Source
RISE project catalogue · projects/landscape · @4c17bae
Record
pipeline:zochi · JSON

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Bring it into the standard

A pipeline built outside E2ER can meet the standard by describing its steps as a template, attaching the floor of checks and publishing evaluation records. Its authors keep ownership and credit.

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