Call for Papers

Author Guidelines

Our submission generally follows the WACV main conference.

  1. Submission Site: Papers should be submitted via the OpenReview system: https://openreview.net/group?id=thecvf.com/WACV/2026/Workshop/LLVM-AD
  2. Author Submission Guide: WACV 2026 Author Submission Guide
  3. Workshop Website: 5th LLVM-AD Workshop at WACV 2026

LLVM-AD accepts both regular papers (6-8 pages) and demo papers (2-4 pages). Submissions are expected to follow the same guidelines as those for WACV’s main conference papers. All accepted demo papers will be included into the workshop proceedings.

Regular Papers: Manuscripts of upto 8 pages.

Demo Papers: Manuscripts of upto 4 pages. Demo papers should also include 1 additional page for references, maintaining the same formatting and guidelines. The main objective of these demo papers within the workshop is to foster the exchange of novel concepts and spotlight the practical utility of LLMs in the context of autonomous driving.

Other Submission Details

  • Authorship Changes:
    • After the submission deadline, the list of authors will be considered final.
    • New authors cannot be added, and authors cannot be removed.
    • Changes to the authorship order will only be permitted in exceptional circumstances.
  • Submission Requirements:
    • Maximum abstract size: 4000 characters.
    • Paper format: PDF only (maximum size: 20MB). Ensure your paper meets the formatting and anonymity requirements described above.

Code Submission and Reproducibility

To improve reproducibility in AI research, we highly encourage authors to voluntarily submit their code as part of the supplementary material.

  • Use the Reproducibility Checklist as a guide for writing reproducible papers.
  • Reviewers are encouraged to check submitted code to ensure the trustworthiness and reproducibility of the paper’s results.
  • The code must be anonymized (e.g., remove author names and institutions, including in license/copyright statements).
  • Include clear instructions for setting up the environment and running the code.
  • The code should cover the main results and as many minor experiments as possible.
  • All submitted code and data will be reviewed confidentially and kept private.

Topics

The LLVM-AD Committee is accepting research paper submissions on various topics, including but not limited to:

  • Large Language Models for Autonomous Driving
  • Foundation Models for Autonomous Driving
  • New Language/Vision Datasets for Autonomous Driving
  • Longtail Problems in Autonomous Driving
  • Knowledge Distillation for Autonomous Driving
  • Uncertainty Quantification in Autonomous Driving
  • Multimodal Fusion in Autonomous Driving
  • State Space Models for Autonomous Driving
  • Other Applications of Language/Vision Models for Driving