Call for Papers: Sister Conference Track

Bring accepted work to DAI 2026. The DAI 2026 Sister Conference Presentation Track welcomes high-quality work that has already been accepted by selected sister conferences and is relevant to the DAI 2026 community.

This track is intended to broaden exchange between DAI and related research communities in artificial intelligence, machine learning, autonomous agents, multi-agent systems, robotics, economics, AI safety, and agentic systems. It provides an opportunity for authors to present relevant accepted work to the DAI audience without submitting a new archival paper.

This is a presentation track for already accepted work and is expected to be non-archival. Authors should not submit substantially revised or unpublished work to this track as a new DAI archival paper. Authors with new original work should consider the Research Track, AI Paper Track, or Industry Track as appropriate.

Eligible submissions must be based on work already accepted by an eligible sister conference or comparable venue. Work that is under review, not yet accepted, or only planned for submission is not eligible for this track.

Eligible venues include AAMAS, AAAI, IJCAI, EC, KDD, ICLR, ICML, NeurIPS, and other top venues relevant to DAI 2026. Additional eligible venues may include leading conferences in robotics, economics, security, AI safety, computational social science, human-computer interaction, and related areas when the work is strongly relevant to DAI.

Eligible acceptance years are subject to final confirmation. Authors must provide evidence of acceptance and a link to the official version, such as a proceedings page, OpenReview page, publisher page, or official conference PDF.

The submitted work should be relevant to one or more DAI themes, such as distributed artificial intelligence, autonomous agents, multi-agent systems, agentic AI, AI agents for science, embodied or robotic agent teams, agent infrastructure, game theory and agent markets, AI safety, governance, or human-agent societies.

Authors are invited to submit a short presentation request including:

• Paper title
• Author list exactly as it appears in the accepted version
• Venue where the paper was accepted
• Acceptance year and acceptance status
• Link to the official version, such as an OpenReview page, proceedings PDF, publisher page, or comparable official source
• Evidence of acceptance, preferably through a public link or official notification
• Brief statement explaining the relevance of the work to DAI 2026
• Preferred presentation format, if any
• Contact author and in-person presenter information

All Sister Conference Track requests should be submitted through the Sister Conference Track Interest Form.

Submissions will undergo a light review mainly for relevance to DAI and interest to the conference audience. Reviews will be conducted on a rolling basis from July 1, 2026 until the track reaches capacity.

Selection criteria include:

• Relevance to distributed AI, autonomous agents, multi-agent systems, agentic AI, or adjacent DAI themes
• Interest and value for the DAI 2026 audience
• Evidence that the paper was accepted by an eligible venue
• Quality and accessibility of the official version
• Fit with available presentation capacity and program balance

This track is not intended to re-review the technical merit of papers already accepted by eligible venues. The review process is focused on fit, eligibility, and program planning.

Accepted Sister Conference Presentation Track submissions will be presented at DAI 2026 in a format determined by the program committee. Possible formats include oral presentations, spotlight presentations, posters, or thematic sessions. If a request is accepted, the contact author will be notified by email with the assigned presentation format and related instructions.

At least one author of each accepted presentation must register for the conference, attend in person, and present the paper onsite.

This is a non-archival track for scholarly exchange only. Accepted presentations will not appear as new papers in the DAI 2026 proceedings.

• This track is an explicit exception to the DAI 2026 original-work rule because it is intended for non-archival presentation of work already accepted by selected sister conferences.
• Submissions are not anonymous. Authors should include the original author list, accepted venue, and official paper link.
• Authors must accurately report the venue, acceptance status, and official version of the work.
• Authors are responsible for confirming that presenting the work at DAI 2026 is allowed under the original venue's policies and any publisher or sponsor requirements.
• Authors must disclose relevant conflicts of interest in the submission system, if requested.
• Prompt injection, hidden instructions to reviewers or automated review tools, reviewer manipulation, plagiarism, fabricated acceptance claims, and collusion are prohibited.
• If the work involves sensitive data, human subjects, safety-critical deployment, privacy or security risks, or other ethical concerns, authors should be prepared to discuss relevant safeguards during presentation.