21 citations · 41 across the 16 of their papers we have counts for
17 papers
SPORTSQL: An Interactive System for Real-Time Sports Reasoning and Visualization
Sebastian Martinez, Naman Ahuja, Fenil Bardoliya +2
We present a modular, interactive system, SPORTSQL, for natural language querying and visualization of dynamic sports data, with a focus on the English Premier League (EPL). The sy…
Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research
Ahmed Almeldein, Mohammed Alnaggar, Rick Archibald +47
The AI for Nuclear Energy workshop at Oak Ridge National Laboratory evaluated the potential of Large Language Models (LLMs) to accelerate fusion and fission research. Fourteen inte…
Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification
Anjana Arunkumar, Lace Padilla, Gi-Yeul Bae +1
How do people internalize visualizations: as images or information? In this study, we investigate the nature of internalization for visualizations (i.e., how the mind encodes visua…
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity
Anjana Arunkumar, Shubham Sharma, Rakhi Agrawal +2
Cross-task generalization is a significant outcome that defines mastery in natural language understanding. Humans show a remarkable aptitude for this, and can solve many different…
PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models
Aditi Mishra, Utkarsh Soni, Anjana Arunkumar +3
Large Language Models (LLMs) have gained widespread popularity due to their ability to perform ad-hoc Natural Language Processing (NLP) tasks with a simple natural language prompt.…
Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow
Anjana Arunkumar, Swaroop Mishra, Bhavdeep Sachdeva +2
Recent research has shown that language models exploit `artifacts' in benchmarks to solve tasks, rather than truly learning them, leading to inflated model performance. In pursuit…