Summary of Wildvis: Open Source Visualizer For Million-scale Chat Logs in the Wild, by Yuntian Deng et al.
WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild
by Yuntian Deng, Wenting Zhao, Jack Hessel, Xiang Ren, Claire Cardie, Yejin Choi
First submitted to arxiv on: 5 Sep 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); Information Retrieval (cs.IR); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces WildVis, an interactive tool for large-scale analysis of real-world conversation data between users and chatbots. The tool enables fast and versatile searching and visualizing of conversations based on various criteria, making it suitable for million-scale datasets. Optimizations were implemented to ensure responsive user interactions within seconds. Three case studies demonstrate the utility of WildVis in facilitating misuse research, visualizing topic distributions, and characterizing user-specific conversation patterns. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary WildVis is a powerful tool that helps researchers study conversations between people and chatbots. It lets users search and visualize huge amounts of data quickly and easily. The tool was tested with three different examples to show how it can be used in real-world scenarios. |
