4 papers
A Coin Flip Per Token: Bernoulli Sparse Steering of Large Language Models
Nima Eshraghi, Lovedeep Gondara, Yuqing Huang +5
Activation steering via sparse autoencoders (SAEs) enables behavioral control of large language models without task-specific fine-tuning, but standard methods apply the steering si…
Characterizing Creativity in Data Visualization: Reflections and Future Directions
Tianwei Ma, Zinat Ara, Safwat Ali Khan +3
Characterizing creativity in visualization design can lead to the design of more expressive representations and visualization authoring tools that prioritize human creativity. In t…
The HaLLMark Effect: Supporting Provenance and Transparent Use of Large Language Models in Writing with Interactive Visualization
Md Naimul Hoque, Tasfia Mashiat, Bhavya Ghai +4
The use of Large Language Models (LLMs) for writing has sparked controversy both among readers and writers. On one hand, writers are concerned that LLMs will deprive them of agency…
The Effect of Smoothing on the Interpretation of Time Series Data: A COVID-19 Case Study
Oded Stein, Alec Jacobson, Fanny Chevalier
We conduct a controlled crowd-sourced experiment of COVID-19 case data visualization to study if and how different plotting methods, time windows, and the nature of the data influe…