Emergent Communication in Interactive Sketch Question Answering

Zixing Lei, Yiming Zhang, Yuxin Xiong, Siheng Chen
2/12/2026

No official code found. Best implementation: MediaBrain-SJTU/ECISQA (6 stars, last commit 2024-02-03).

Abstract

Vision-based emergent communication (EC) aims to learn to communicate through sketches and demystify the evolution of human communication. Ironically, previous works neglect multi-round interaction, which is indispensable in human communication. To fill this gap, we first introduce a novel Interactive Sketch Question Answering (ISQA) task, where two collaborative players are interacting through sketches to answer a question about an image in a multi-round manner. To accomplish this task, we design a new and efficient interactive EC system, which can achieve an effective balance among three evaluation factors, including the question answering accuracy, drawing complexity and human interpretability. Our experimental results including human evaluation demonstrate that multi-round interactive mechanism facilitates targeted and efficient communication between intelligent agents with decent human interpretability.

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[NeurIPS 2023] Emergent communication in interactive sketch question answering

60C, C++Oct 29, 20232 years ago

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Cite this paper

@article{lei2026emergent,
  title  = {Emergent Communication in Interactive Sketch Question Answering},
  author = {Zixing Lei and Yiming Zhang and Yuxin Xiong and Siheng Chen},
  year   = {2026},
  eprint = {2310.15597},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/2310.15597},
  journal = {NEURIPS 2023 2023}
}

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