---
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
@inproceedings{jang-etal-2024-mixed,
    title = "Mixed-Session Conversation with Egocentric Memory",
    author = "Jang, Jihyoung  and
      Kim, Taeyoung  and
      Kim, Hyounghun",
    editor = "Al-Onaizan, Yaser  and
      Bansal, Mohit  and
      Chen, Yun-Nung",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.findings-emnlp.689/",
    doi = "10.18653/v1/2024.findings-emnlp.689",
    pages = "11786--11815"
}
```