13 citations · 28 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
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…
Detecting Ambiguities to Guide Query Rewrite for Robust Conversations in Enterprise AI Assistants
Md Mehrab Tanjim, Xiang Chen, Victor S. Bursztyn +8
Multi-turn conversations with an Enterprise AI Assistant can be challenging due to conversational dependencies in questions, leading to ambiguities and errors. To address this, we…
Representing Visualization Insights as a Dense Insight Network
Jane Hoffswell, Victor Soares Bursztyn, Shunan Guo +2
We propose a dense insight network framework to encode the relationships between automatically generated insights from a complex dashboard based on their shared characteristics. Ou…