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NeurIPS 2025

OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions


Cheng Luo1 · Jianghui Wang1 · Bing Li1 · Siyang Song2,3 · Bernard Ghanem1


1 IVUL Lab, KAUST · 2 University of Exeter · 3 Awakening AI


OmniResponse Logo

Webpage: OmniResponse arXiv: 2505.21724 Dataset: ResponseNet

📢 News

  • Sep, 2025 — 🎉 Our paper OmniResponse has been accepted to NeurIPS 2025!

📝 TODO

  • ✅ Release the OmniResponse paper
  • ✅ Release the dataset
  • ▢ Release the inference code
  • ▢ Release the rendering code and pretrained models
  • ▢ Provide model checkpoints for various LLM backbones
  • ▢ Release the training code

📋 Table of Contents

🛠️ Installation

👨‍🏫 Getting Started

🧰 Data Preparation

🔧 External Tool Preparation

🚀 Training

🎯 Evaluation

🧪 Customized Inference

🖊️ Citation

If this work helps in your research, please cite the following papers:

@article{luo2025omniresponse,
  title   = {OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions},
  author  = {Luo, Cheng and Wang, Jianghui and Li, Bing and Song, Siyang and Ghanem, Bernard},
  journal = {arXiv preprint arXiv:2505.21724},
  year    = {2025}
}

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