DEMON24: ACM MM24 Demonstrative Instruction Following Challenge

We introduce the DEMON Challenge, defined as a benchmark for demonstrative instruction following, to ACM Multimedia 2024. The DEMON Challenge aims to assess the ability of models and systems to comprehend demonstrative instructions consisting of multiple, interleaved, and multimodal context that demonstrate the required information to complete a task. These instructions are curated from a diverse range of multi-modal datasets, spanning various fields and scenarios, to ensure comprehensive coverage and challenge diversity. The challenge details and participation information are available on the https://dcdmllm.github.io/DEMON-challenge/.

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Publication Details

Published
2024-10-26
DOI
https://doi.org/10.1145/3664647.3688993
Citations
2
Primary Topic
Multimodal Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.50
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DEMON24: ACM MM24 Demonstrative Instruction Following Challenge

Yueting Zhuang, Juncheng Li, Siliang Tang, Zhiqi Ge et al.
2 citations
Multimodal Machine Learning Applications
0.50
article

DEMON24: ACM MM24 Demonstrative Instruction Following Challenge

Yueting Zhuang, Juncheng Li, Siliang Tang, Zhiqi Ge, Qifan Yu, Wei Zhou
article en
2 citations

Abstract

We introduce the DEMON Challenge, defined as a benchmark for demonstrative instruction following, to ACM Multimedia 2024. The DEMON Challenge aims to assess the ability of models and systems to comprehend demonstrative instructions consisting of multiple, interleaved, and multimodal context that demonstrate the required information to complete a task. These instructions are curated from a diverse range of multi-modal datasets, spanning various fields and scenarios, to ensure comprehensive coverage and challenge diversity. The challenge details and participation information are available on the https://dcdmllm.github.io/DEMON-challenge/.

Zhejiang University (CN)
Openalex Percentile: Top 34%
Multimodal Machine Learning Applications
0.50
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