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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{jang2023conversation,
title={Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations},
author={Jihyoung Jang, MinSeong Boo, Hyounghun Kim},
booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing},
year={2023},
url={https://arxiv.org/abs/2310.13420}
}
```
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