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FEBRUARY 25 – 26, 2025 | PHILADELPHIA, PENNSYLVANIA, USA
Submission link: https://openreview.net/group?id=AAAI.org/2025/Bridge/AI4SC
Participants are invited to submit papers of two pages max (excluding references and appendices), describing how they extract and organise scientific knowledge (using or not AI-based techniques) during their research. Given that LLMs is the state-of-the-art in several NLP tasks, a particular attention will be oriented towards the use of LLMs for scientific knowledge extraction, organization or exploitation. The papers should be formatted in the AAAI two column style (see https://aaai.org/authorkit24-2)
Participants are invited to submit papers of two pages max (excluding references and appendices), describing how they extract and organise scientific knowledge (using or not AI-based techniques) during their research. Given that LLMs is the state-of-the-art in several NLP tasks, a particular attention will be oriented towards the use of LLMs for scientific knowledge extraction, organization or exploitation. The papers should be formatted in the AAAI two column style (see https://aaai.org/authorkit24-2)
Participants are invited to submit in the following tracks :
Poster track is dedicated to students and researchers who want to present how they exploit existing literature in their work. A particular attention will be oriented towards the use of AI in scientific communication.
Tutorial Track is dedicated to provide participants with practical skills, tools or detailed knowledge in the use of AI in scientific communication. Experts or experienced professionals in the field are invited to submit tutorials including live demonstrations, interactive exercises, or guided practice.
Dataset Track aims to showcase new, high-quality datasets and discuss their structure, methodology, and use. The participants are invited to submit papers describing datasets that have potential value for research, analysis, or application of AI for scholarly communication. These datasets can be new or updated ones. Participants should provide the sources of data, describe how the data was collected, cleaned, structured and potential applications.
System Track aims to showcase how systems, frameworks, tools or platforms that have been developed for AI in scientific communication work, their design, and their real-world applications. The participants should submit papers describing fully implemented and functional systems.
NB: participants can submit to more than one track.
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