144 citations · 210 across the 8 of their papers we have counts for
9 papers
Lexara-RF: Reference-Free Metrics for Evaluating Conversational Visual Analytics Agents
Srishti Palani, Vidya Setlur
Conversational visual analytics (CVA) agents powered by large language models generate visualizations and natural-language explanations from open-ended queries. Evaluating these mu…
Lexara: A User-Centered Toolkit for Evaluating Large Language Models for Conversational Visual Analytics
Srishti Palani, Vidya Setlur
Large Language Models (LLMs) are transforming Conversational Visual Analytics (CVA) by enabling data analysis through natural language. However, evaluating LLMs for CVA remains a c…
"I Need to Find That One Chart": How Data Workers Navigate, Make Sense of, and Communicate Analytical Conversations
Ken Gu, Srishti Palani, Vidya Setlur
Conversational interfaces are increasingly used for data analysis, enabling data workers to express complex analytical intents in natural language. Yet, these interactions unfold a…
Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshop
Lev Tankelevitch, Elena L. Glassman, Jessica He +7
Generative AI (GenAI) radically expands the scope and capability of automation for work, education, and everyday tasks, a transformation posing both risks and opportunities for hum…
Orchid: Orchestrating Context Across Creative Workflows with Generative AI
Srishti Palani, Gonzalo Ramos
Context is critical for meaningful interactions between people and Generative AI (GenAI). Yet mainstream tools offer limited means to orchestrate it, particularly across workflows…
DesignWeaver: Dimensional Scaffolding for Text-to-Image Product Design
Sirui Tao, Ivan Liang, Cindy Peng +3
Generative AI has enabled novice designers to quickly create professional-looking visual representations for product concepts. However, novices have limited domain knowledge that c…
Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models
Sangho Suh, Bryan Min, Srishti Palani +1
People are increasingly turning to large language models (LLMs) for complex information tasks like academic research or planning a move to another city. However, while they often r…
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces
Kyle Lo, Joseph Chee Chang, Andrew Head +52
Scholarly publications are key to the transfer of knowledge from scholars to others. However, research papers are information-dense, and as the volume of the scientific literature…
Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections
Srishti Palani, Aakanksha Naik, Doug Downey +3
Scholars who want to research a scientific topic must take time to read, extract meaning, and identify connections across many papers. As scientific literature grows, this becomes…