ICLR 2026

Deadlines
Machine Learning/CORE Unranked

ICLR 2026

ICLR 2026 Workshop on Representational Alignment (Re^4-Align) Challenge

Apr 26 2026Rio de Janeiro, BrazilOfficial workshop site Site reachable

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.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Full paper

February 27, 2026

AoE

Workshop timeline

Submission and decisions

Full paperKey deadline

February 27, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

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.

Challenge Reports

Companion submissions to leaderboard entries in the Re-Align Challenge, submitted via OpenReview in Markdown format with metadata, requiring association with a leaderboard submission.

Research areas in scope

01

Interdisciplinary Focus Areas

Neural controlDownstream behavior

Policies worth checking twice

  • All paper submissions must be fully anonymized; remove author names, affiliations, and personalized links.
  • Submissions must not have been previously accepted for publication at other venues; concurrent submissions to other conferences are allowed if not yet accepted.
  • Papers previously presented at workshops or conferences must be significantly extended to be eligible.
  • Use of generative AI must be disclosed in the appendix, in accordance with ICLR 2026 policies.
  • AI-generated papers are not allowed; submissions must be primarily human-authored.
  • At least one author from each submission must volunteer to review for the workshop between submission and reviewing deadlines.
  • Accepted papers cannot switch between short and long paper tracks after acceptance.
  • Camera-ready versions must be deanonymized using the Re-Align workshop LaTeX template.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026