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README.md
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---
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license: cc-by-4.0
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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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## 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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```
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