metadata
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
- Dataset: MiSC
- Code: GitHub
Citation Information
If you use EMMA in your research, please cite the following paper:
@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"
}