The PlurVA-LLM 2026 Workshop is the first event dedicated to pluralistic value alignment in large language models, aiming to advance research on how LLMs can recognize, reason about, and adapt to diverse cultural and social value systems. It brings together researchers from NLP, AI safety, social science, and philosophy to discuss methods, benchmarks, and real-world applications, with a focus on multilingual and multicultural contexts such as China, Indonesia, and Sri Lanka.
A strong submission should clearly identify its contribution and evaluate it appropriately.
Archival Papers
Long papers (up to 8 pages) or short papers (up to 4 pages) with unlimited references; subject to double-anonymous peer review; accepted papers are published in the ACL Anthology and may use one additional page in the camera-ready version.
Extended Abstracts
2–4 pages plus up to 2 pages of references; suitable for position papers or early-stage work; subject to double-anonymous peer review; not published in the ACL Anthology.
Previously Published/Accepted Work
Work already reviewed, published, or accepted elsewhere; no page limit; anonymization not required; review focuses on workshop fit; not published in the ACL Anthology.
ARR-Reviewed Papers
Papers previously reviewed through ACL Rolling Review (ARR) with meta-reviews by October 11th, 2026; authors may choose archival or non-archival track; ARR reviews are considered alongside workshop fit.
Research areas in scope
01
Topics of Interest
Theoretical foundations and formalizations of pluralistic value alignmentAlignment methods for pluralistic values in LLMsBenchmarks and evaluation protocols for pluralistic value alignmentHuman-AI collaboration for constructing and curating value-sensitive datasetsInterpretability and analysis of value alignment in LLMsPluralistic value alignment in downstream applications and real-world deploymentMultilingual, multicultural, and low-resource perspectives on value alignmentPluralistic value alignment in multimodal models and systems
Policies worth checking twice
Dual submission is permitted: papers under review at other venues may be submitted, provided this is disclosed at submission.
If a paper is accepted both at PlurVA-LLM and another venue, authors may choose to move it to the non-archival track upon acceptance.
Previously published work submitted to the non-archival track does not require anonymization.
Archival papers must not have been previously published.
ARR track submissions must have received meta-reviews by October 11th, 2026.
Shared task participants may submit a system description paper with the title prefix 'PlurVA-LLM-2026 Shared Task Track-N:' where N is Track-1 or Track-2.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.