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An Investigation of the NeurIPS and ICML 2025 Position Tracks

Source
arXiv — Computers and Society
Published
Last verified
19 Aug 2026
Confidence
High
Evidence
Original document retained
Reading time
1 min
Country
International
Relevant to
Research & Evidence, Policy & Regulation, Risk & Compliance, Technology & Data

Executive summary

What happened, and why should leadership care?

A recent analysis of the NeurIPS and ICML 2025 Position Tracks indicates a significant predominance of 'reformist critique' submissions within the publicly accessible reviewed pool. The paper argues that while these tracks effectively host critical analyses, they should explicitly seek out and balance 'direction-setting work' to foster a more diverse range of foundational contributions.

Why this matters

Why is this strategically important?

The composition of agenda-setting tracks in influential research venues directly impacts the future trajectory of a field, guiding funding, talent, and technological development. An overemphasis on critique without corresponding direction-setting content could limit innovation and the establishment of new research paradigms, potentially slowing progress in critical areas.

Key insights

What should be noted from the evidence?

  • Machine learning (ML) venues significantly influence the types of research and evidence deemed legitimate.
  • The NeurIPS and ICML Position Paper Tracks are designed for agenda-setting research.
  • The 2025 reviewed pool for these tracks is predominantly composed of 'reformist critique'.
  • The study audited accessible submissions using a pre-specified rubric and compared them to established agenda-shifting ML papers.
  • Three-quarters of audited submissions align with reformist critique.

Evidence and confidence

How far can this assessment be trusted?

High confidence. Named institution, original document retained and analysis corroborated.

Analysis is prepared editorially by Aziz Shuaib Ausi. The original publication remains the authoritative record, and executive judgement remains entirely human.

Source

Where does this originate?

Reported by arXiv — Computers and Society · International. This briefing summarises the publication for executive use; the document itself is not reproduced here.

Read the original publication