activity
20222025
most citedDataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation

13 citations · 19 across the 9 of their papers we have counts for

collaborators

9 papers

cs.HC20256 cited

OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models

Adam Coscia, Shunan Guo, Eunyee Koh +1

As multi-turn dialogues with large language models (LLMs) grow longer and more complex, how can users better evaluate and review progress on their conversational goals? We present…

cs.HC2025

LitForager: Exploring Multimodal Literature Foraging Strategies in Immersive Sensemaking

Haoyang Yang, Elliott H. Faa, Weijian Liu +3

Exploring and comprehending relevant academic literature is a vital yet challenging task for researchers, especially given the rapid expansion in research publications. This task f…

cs.HC2025

Utilizing Provenance as an Attribute for Visual Data Analysis: A Design Probe with ProvenanceLens

Arpit Narechania, Shunan Guo, Eunyee Koh +2

Analytic provenance can be visually encoded to help users track their ongoing analysis trajectories, recall past interactions, and inform new analytic directions. Despite its signi…

cs.HC2025

InfoVids: Reimagining the Viewer Experience with Alternative Visualization-Presenter Relationships

Ji Won Chung, Tongyu Zhou, Ivy Chen +7

Traditional data presentations typically separate the presenter and visualization into two separate spaces--the 3D world and a 2D screen--enforcing visualization-centric stories. T…

cs.HC2024

CompositingVis: Exploring Interactions for Creating Composite Visualizations in Immersive Environments

Qian Zhu, Tao Lu, Shunan Guo +2

Composite visualization represents a widely embraced design that combines multiple visual representations to create an integrated view. However, the traditional approach of creatin…

cs.CL2024

A Framework for Fine-Tuning LLMs using Heterogeneous Feedback

Ryan Aponte, Ryan A. Rossi, Shunan Guo +5

Large language models (LLMs) have been applied to a wide range of tasks, including text summarization, web navigation, and chatbots. They have benefitted from supervised fine-tunin…