---
license: cc-by-4.0
datasets:
- jihyoung/MiSC
language:
- en
base_model:
- google/flan-t5-large
pipeline_tag: text-generation
tags:
- dialogue
- conversation
- open-domain
- mixed-session
- EMMA
---

# Egocentric Memory Enhanced Mixed-Session Conversation Agent (EMMA)

## Introduction
**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.

🚨 This repository is for the adapter of EMMA's dialogue module, which is based on FLAN-T5-Large.

## Model Description
- **Paper**: [Mixed-Session Conversation with Egocentric Memory](https://arxiv.org/abs/2410.02503)
- **Dataset**: [MiSC](https://huggingface.co/datasets/jihyoung/MiSC)
- **Code**: [GitHub](https://github.com/mixed-session/EMMA)

## Citation Information
If you use EMMA in your research, please cite the following paper:

```bibtex
@article{jang2024mixed,
  title={Mixed-Session Conversation with Egocentric Memory},
  author={Jang, Jihyoung and Kim, Taeyoung and Kim, Hyounghun},
  journal={arXiv preprint arXiv:2410.02503},
  year={2024}
}
```