4th Workshop on Advances in Language and Vision Research

Event Notification Type: 
Call for Papers
Abbreviated Title: 
ALVR’26
Thursday, 2 July 2026
State: 
California
Country: 
USA
City: 
San Diego
Contact: 
ALVR workshop
Syrielle Montariol
Submission Deadline: 
Tuesday, 24 March 2026

4th Workshop on Advances in Language and Vision Research (ALVR’26)
Co-located with ACL 2026 in San Diego, California, United States & Online | July 2–7, 2026

About the Workshop
Language & Vision research has rapidly evolved in recent years, driven by the emergence of large vision-language models (LVLMs). The 4th Workshop on Advances in Language and Vision Research (ALVR) will bring together researchers to explore the frontier of multimodal learning, foster collaboration, and identify pressing open challenges. We will feature keynote talks, spotlight paper presentations, poster sessions, and a panel discussion.
Following the success of previous ALVR editions in 2020, 2021, and 2024, this fourth edition will be held as a hybrid full-day workshop at ACL 2026 in San Diego.

Submission link: https://openreview.net/group?id=aclweb.org/ACL/2026/Workshop/ALVR

Important Dates (tentative)

  • Direct Submission deadline: March 24, 2026
  • Pre-reviewed (ARR) commitment deadline: March 24, 2026
  • Notification of acceptance: April 28, 2026
  • Camera-ready paper due: May 12, 2026
  • Workshop date: July 2nd or 3rd, 2026

All deadlines are 11.59 pm UTC -12h (anywhere on earth).

Submission Information
We accept the following types of submissions:

  • Long papers: up to 8 pages (+ references and appendix)
  • Short papers: up to 4 pages (+ references and appendix)

Final versions will be given one additional page of content so that reviewers' comments can be taken into account.
Authors will have the option to provide a link to the relevant arXiv paper.
We are also including a non-archival track to allow dual submission of work to ALVR 2026 and other conferences/journals. Space permitting, these submissions will still participate and present their work in the workshop and will be hosted on the workshop website but will not be included in the official proceedings. Please apply the ACL format and submit through openreview but indicate that this is a cross-submission (non-archival) at the bottom of the submission form.

Review Process
Papers must be submitted anonymously.
All submissions will undergo double-blind peer review by at least three reviewers, with final acceptance decisions made by the workshop organizers.
Call for reviewers: If you have published in the field previously and are interested in helping out in the program committee to review papers, please email us at alvr_workshop_acl_2026 [at] googlegroups.com.

Topics of Interest
This workshop covers (but is not limited to) the following topics:

  • Self-supervised vision and language pre-training;
  • New tasks and datasets that provide real-world solutions in language and vision;
  • Text-to-image/video generation and text-guided image/video editing;
  • 3D/Spatial reasoning and inference with language and vision;
  • Multimodal agents and Language-grounded embodied agents;
  • Visually-grounded natural language understanding and generation;
  • Culturally-aware LVLMs and LVLMs for underrepresented cultures;
  • Multilingual LVLMs;
  • External knowledge integration in visual and language understanding;
  • Shortcomings of the existing LVLMs on downstream tasks and solutions;
  • Training efficiency and optimization of LVLMs;
  • Post-training frameworks for LVLMs, including alignment and reasoning;
  • Ethics and bias on LVLMs;
  • Multidisciplinary study that may involve linguistics, cognitive science, robotics, etc;
  • Practical applications of LVLMs;
  • Explainability and interpretability on LVLMs.

Organizers

  • Qianqi (Jackie) Yan (UC Santa Barbara)
  • Syrielle Montariol (CNRS, Sorbonne Université)
  • Yue Fan (UC Santa Cruz)
  • Jing Gu (xAI)
  • Jiayi Pan (xAI)
  • Manling Li (Northwestern University)
  • Parisa Kordjamshidi (Michigan State University)
  • Alane Suhr (UC Berkeley)
  • Xin Eric Wang (UC Santa Barbara)