Exploration tool
WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild
EMNLP 2024 System Demonstrations · First arXiv submission
Provides search filters and an embedding map for exploring WildChat and LMSYS-Chat-1M. Its case studies connect individual conversations to broader topic patterns and reproduce examples from research on journalism and personal disclosures.
Data used
Approximately one million WildChat conversations, alongside LMSYS-Chat-1M.
Findings
The visual comparison identifies a Midjourney prompt-generation cluster in WildChat and a chemistry cluster in LMSYS-Chat-1M.
Sections 2–4: interface, indexed datasets, and case studies. Appendix E: cross-dataset comparison. Read the source.
Dates and versions
First arXiv version. ArXiv version history.
EMNLP 2024 System Demonstrations proceedings paper.
Cite this paper
Yuntian Deng, Wenting Zhao, Jack Hessel, Xiang Ren, Claire Cardie, Yejin Choi. 2024. WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations.
Show BibTeX
@inproceedings{deng2024wildvis,
title = {{WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild}},
author = {Deng, Yuntian and Zhao, Wenting and Hessel, Jack and Ren, Xiang and Cardie, Claire and Choi, Yejin},
year = {2024},
booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations},
publisher = {Association for Computational Linguistics},
pages = {497--506},
doi = {10.18653/v1/2024.emnlp-demo.50},
url = {https://aclanthology.org/2024.emnlp-demo.50/}
}