POSTER SESSIONS
Posters are a central part of the conference program and offer a highly interactive setting to present and discuss new ideas, methods, and results. Two dedicated Poster Sessions will take place during the conference, providing ample time for in-depth exchange and networking with peers.
Join the Poster Sessions and engage with the community:
POSTER SPOTLIGHT TALKS
From all accepted poster submissions, a selection will be invited to give short Poster Spotlight Talks. These concise presentations will highlight outstanding posters and give authors the opportunity to present their work to the full audience ahead of the poster sessions.
POSTER AWARD
To highlight great poster contributions at HAICON, posters are evaluated by expert reviewers and, for the first time, we are also experimenting with an LLM-based assessment.
Reviewer’s Choice Award
The Reviewer’s Choice Award is based on a structured evaluation by a jury. Posters will be assessed along three main aspects:
Scientific Soundness
A poster that fully meets this criterion clearly defines the problem and contribution, and describes the data, methods, and evaluation in a transparent and understandable way. Key findings and limitations are summarized, and relevant references and accessible resources are provided to support transparency and further exploration (including FAIR principles where applicable).
Scientific Presentation
A poster that fully meets this criterion is clearly structured, readable, and easy to follow. The content is presented concisely, visually well-organized, and accessible to an interdisciplinary audience. Key concepts are explained where necessary, and the presenter communicates the work clearly and demonstrates strong understanding.
Scientific Relevance (Novelty & Impact)
A poster that fully meets this criterion presents a substantive and clearly articulated contribution that advances the field beyond incremental improvements. The contribution is well differentiated from existing approaches, its relevance and potential implications are clearly described, and it demonstrates a level of originality and impact that stands out as scientifically outstanding.
LLM’s Choice Award
As an experimental addition this year, the LLM’s Choice Award lets AI take its turn at reviewing the posters.
The evaluation is carried out using models with enterprise licenses, meaning that submitted content is processed under strict data protection settings: it is not used for model training, not stored beyond the evaluation process, and not shared with external parties. The model will assess the posters based on the same criteria as the Reviewer’s Choice Award, with one exception: since the model cannot attend the poster session, the in-person presentation is replaced by an evaluation of how clear and self-explanatory the poster is on its own.
Transparency and Feedback
By clearly defining the evaluation criteria for the Reviewer’s Choice Award, we aim to make the judging process more transparent and easier to follow. The LLM’s Choice Award is very much an experiment. We do not assume that LLM-based evaluation is more reliable or meaningful than expert review, and we are aware that such systems come with limitations and potential biases. Our goal is to explore this approach, and to better understand their strengths and shortcomings in evaluation settings.
At the same time, we are aware that no evaluation framework is perfect. We see this as an evolving process and welcome feedback to further improve future editions.
