Visit https://llmforplanning.github.io/ICML26/ for up-to-date information.
ICML’26 Workshop,
Seoul, South Korea,
Date: July 10 or 11, 2026
Language Models (LMs) are a disruptive force, changing how research was done in many subareas of AI. Planning is one of the last bastions that remain standing. The focus of this workshop is on the questions in the intersection of these areas. Some of the specific areas we would like to gain a better understanding in include: what LMs can contribute to planning, how LMs can/should be used, what the pitfalls of using LMs are and what guarantees can be obtained.
We invite paper submissions on the following (not exhaustive) list of topics:
We particularly encourage submissions leveraging small and open-weight language models, especially those advancing efficient and reliable methods with rigorous, reproducible evaluations and accessible research artifacts.
Paper submission deadline: April 24th, 2026, AoE
Paper acceptance notification: May 15th, 2026, AoE
ICML will be in-person this year. Authors of accepted workshop papers are expected to register for the workshop, physically attend the conference and present in person.
We solicit workshop paper submissions relevant to the above call. Paper submissions should be made through OpenReview.
All submissions must be a single PDF file and follow one of the formats below:
Long papers – up to 8 pages + unlimited references / appendices
Short papers – up to 4 pages + unlimited references / appendices
Please format submissions in ICML style (see instructions in the Author Kit ).
Authors submitting papers rejected from other conferences, please ensure you do your utmost to address the comments given by the reviewers. The workshop is a non-archival venue and will not have official proceedings. Workshop submissions can be subsequently or concurrently submitted to other venues.
Double-blind reviewing
All submissions must be anonymized and may not contain any identifying information that may violate the double-blind reviewing policy. Submissions and reviews will not be public. Only accepted papers will be made public.
Reciprocal reviewing
Depending on the number of submissions, we may adopt a reciprocal reviewing process. For each submission, one reciprocal reviewer needs to be nominated who agrees to serve as a reviewer if reciprocal reviewing is implemented. Each nominated reviewer must have at least one relevant publication at a top venue and cannot be nominated as a reviewer for more than one submission.
Augusto B. Corrêa, University of Oxford
Elliot Gestrin, Linköping University
Sarath Sreedharan, Colorado State University
Michael Katz, IBM
Nir Lipovetzky, University of Melbourne
Katharina Stein, Saarland University
Luckeciano Carvalho Melo, University of Oxford
Please send your inquiries to llmforp...@gmail.com