4 citations · 5 across the 4 of their papers we have counts for
4 papers
QueryGraph: Reliable Multi-Tool Query Execution Planning via LLM-Based Graph Generation
Aishwarya Chakravarthy, Vidhi Kulkarni, Duen Horng Chau
Many real-world queries over personal data span multiple applications and require structured planning, as individual tools expose only partial information. While LLMs show strong r…
RIS-Vis: A Novel Visualization Platform for Seismic, Geodetic, and Weather Data Relevant to Antarctic Cryosphere Science
Aishwarya Chakravarthy, Dhiman Mondal, John Barrett +2
Antarctic ice shelves play a vital role in preserving the physical conditions of the Antarctic cryosphere and the Southern Ocean, and beyond. By serving as a buttressing force, ice…
LLM Attributor: Interactive Visual Attribution for LLM Generation
Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy +5
While large language models (LLMs) have shown remarkable capability to generate convincing text across diverse domains, concerns around its potential risks have highlighted the imp…
Wordflow: Social Prompt Engineering for Large Language Models
Zijie J. Wang, Aishwarya Chakravarthy, David Munechika +1
Large language models (LLMs) require well-crafted prompts for effective use. Prompt engineering, the process of designing prompts, is challenging, particularly for non-experts who…