Exploration tool
WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild
EMNLP 2024 System Demonstrations · First arXiv submission
Provides composable search filters and an embedding map for inspecting 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.
Dataset and scope
WildChat at approximately one million conversations, alongside LMSYS-Chat-1M; an exact WildChat revision is not specified.
Selected finding
The visual comparison identifies a Midjourney prompt-generation cluster in WildChat and a chemistry cluster in LMSYS-Chat-1M.
Sections 2–4 describe the interface, indexed datasets, and case studies; Appendix E expands the cross-dataset comparison. Read the source.
Dates and versions
First arXiv version. ArXiv version history.
Cites the EMNLP 2024 System Demonstrations proceedings paper.
The annotation describes the linked source version. Consult the paper for its full methods, assumptions, and limitations.
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/}
}Reuse this entry
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