Technical and Position Papers
Short (up to 5 pages + references and appendix) or long (up to 10 pages + references and appendix) submissions related to representational alignment among artificial and biological systems.
ICLR 2026 Workshop on Representational Alignment (Re^4-Align) Challenge
The Re-Align Workshop at ICLR 2026 brings together researchers from machine learning, neuroscience, and cognitive science to explore how representational alignment enables actionable control over intelligent systems. Focusing on neural control and downstream behavior, the workshop investigates how aligned representations can be intervened upon, composed, or dynamically reconfigured to achieve specific functions in both artificial and biological systems.
Full paper
February 27, 2026
AoE
Workshop timeline
Full paperKey deadline
February 27, 2026 · AoE
Paper fit
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short (up to 5 pages + references and appendix) or long (up to 10 pages + references and appendix) submissions related to representational alignment among artificial and biological systems.
Companion submissions to leaderboard entries in the Re-Align Challenge, submitted via OpenReview in Markdown format with metadata, requiring association with a leaderboard submission.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026