KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts.
September 2024 IEEE Trans Vis Comput GraphSynopsis of Social media discussions
Several discussions highlight the innovative aspects of KnowledgeVIS, such as its interactive visualizations and ability to probe models across domains like biomedical knowledge and stereotypes. The tone varies from enthusiastic to cautiously optimistic, with phrases like 'game-changing' and 'valuable tool,' reflecting recognition of its potential to advance understanding of language models.
Agreement
Moderate agreementMost discussions acknowledge the usefulness of KnowledgeVIS in understanding language models, with some expressing enthusiasm for its potential.
Interest
High level of interestParticipants show high interest, often mentioning how the tool could clarify complex AI behaviors and improve interpretability.
Engagement
Moderate level of engagementComments often include references to specific features like semantic clustering and visualizations, indicating active engagement.
Impact
Moderate level of impactWhile some see immediate practical applications, others view its broader influence as promising but still evolving, hence a moderate impact score.
Social Mentions
YouTube
1 Videos
1 Posts
Metrics
Video Views
23
Total Likes
1
Extended Reach
145
Social Features
2
Timeline: Posts about article
Top Social Media Posts
Computers and Society Papers
KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts. https://t.co/xsTZvnyZls
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Posts referencing the article
KnowledgeVIS Demo: Visualizing and Interpreting Language Model Predictions
KnowledgeVIS is an interactive visualization tool that helps you explore how masked language models like BERT SciBERT and PubMedBERT complete fill-in-the-blank prompts across different themes. It offers visualizations and analysis for understanding model behavior and predictions.
April 8, 2025
23 views
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KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts. https://t.co/xsTZvnyZls
view full postMarch 8, 2024
Abstract Synopsis
- KnowledgeVIS is a visual analytics tool designed to help researchers understand how large language models (like AI that generates text) work by comparing their responses to fill-in-the-blank prompts.
- It uses interactive visualizations and a unique semantic clustering technique to analyze and compare predictions from different prompts, revealing insights about what the models have learned and how they relate to natural language tasks.
- The system was tested with NLP experts on various use cases, including probing biomedical knowledge, evaluating stereotypes, and discovering facts across different models.
Computers and Society Papers
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