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--- |
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license: cc-by-4.0 |
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datasets: |
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- jihyoung/MiSC |
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language: |
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- en |
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base_model: |
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- google/flan-t5-large |
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pipeline_tag: text-generation |
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tags: |
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- dialogue |
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- conversation |
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- open-domain |
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- mixed-session |
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- EMMA |
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--- |
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# Egocentric Memory Enhanced Mixed-Session Conversation Agent (EMMA) |
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## Introduction |
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**EMMA** is a new conversation model designed for mixed-session conversations, incorporating **Egocentric Memory** trained on the MiSC dataset. This model focuses on handling dynamic interactions across sessions, where a main speaker engages with different partners. |
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🚨 This repository is for the adapter of EMMA's dialogue module, which is based on FLAN-T5-Large. |
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## Model Description |
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- **Paper**: [Mixed-Session Conversation with Egocentric Memory](https://arxiv.org/abs/2410.02503) |
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- **Dataset**: [MiSC](https://huggingface.co./datasets/jihyoung/MiSC) |
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- **Code**: [GitHub](https://github.com/mixed-session/EMMA) |
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## Citation Information |
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If you use EMMA in your research, please cite the following paper: |
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```bibtex |
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@article{jang2024mixed, |
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title={Mixed-Session Conversation with Egocentric Memory}, |
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author={Jang, Jihyoung and Kim, Taeyoung and Kim, Hyounghun}, |
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journal={arXiv preprint arXiv:2410.02503}, |
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year={2024} |
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} |
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``` |
