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EMNLP2023-findings: MIRACLE: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control

Shell 2.70% Python 97.30%

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About nli dataset

--data-path 'dataset/nli.jsonl' --dev-data-path 'dataset/dev_nli.jsonl'

Hello, I see that the NLI data set is used, and I would like to ask where to download it. The format of the NLI data set I found is different from yours, so I am not clear about the format of your data set.

Thank you very much.

Excuse me, can you share the relevant files of nli.jsonl

Hello,I am very interested in your work, so I want to reproduce your results. But when I download datasets from you huggingface(lu-vae/Miracle-Conversation), I found that you didn't upload relevant files of nli.jsonl and dev_nli.jsonl. Can you upload these two files? thank you very much ~

Congratulations on your acceptance into EMNLP

Hi, congratulations on your acceptance into EMNLP!
I find that we share similar thought of constructing latent spaces for control.
Would you mind cite our work in your related work?

A Distributional Lens for Multi-Aspect Controllable Text Generation. EMNLP 2022
Controllable Text Generation via Probability Density Estimation in the Latent Space. ACL 2023

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