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---
license: cc-by-4.0
datasets:
- jihyoung/ConversationChronicles
language:
- en
pipeline_tag: conversational
---
# 👫ReBot - Generation Module⏰
ReBot is a novel multi-session dialgoue model which can generate dialogue with chronological dynamics! ReBot consists two modules: (1) chronological summarization module; (2) dialogue generation module.
**This repoistory for dialogue generation module.** You can check summarization module on [this repoistory](https://huggingface.co/jihyoung/rebot-summarization).
🚨 Please be cautious when testing our model with the Hosted Inference API. Our model takes sequences as input, so you should provide sequences as input through the API as well.
## Model description
+ Paper: [Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations](https://arxiv.org/abs/2310.13420)
+ Dataset : [Conversation Chronicles](https://huggingface.co/datasets/jihyoung/ConversationChronicles)
+ Generation Module of Model : this repoistory
+ Summarization Module of Model : [chronological summarization module](https://huggingface.co/jihyoung/rebot-summarization)
## Load with Transformers
To load our dataset with Hugging Face Transformers, please use the following code:
```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("jihyoung/rebot-generation")
model = AutoModelForSeq2SeqLM.from_pretrained("jihyoung/rebot-generation")
```
## Citation Information
```
@inproceedings{jang-etal-2023-conversation,
title = "Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations",
author = "Jang, Jihyoung and
Boo, Minseong and
Kim, Hyounghun",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.emnlp-main.838",
doi = "10.18653/v1/2023.emnlp-main.838",
pages = "13584--13606",
}
```
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