13 citations · 27 across the 3 of their papers we have counts for
5 papers
Beyond Mode Collapse: Generating Diverse Synthetic Expert Conversations via Generative Flow Networks
Sumit Asthana, Michael Ion, Kevyn Collins Thompson
High quality synthetic data is central to post training LLMs for adaptive AI applications that represent the diverse expert strategies and decisions in conversations. Prompting LLM…
[MM/AI] Mental Models in Human-AI Interaction: Methods and Challenges in the Generative and Agentic AI Era (Workshop)
Téo Sanchez, Bhada Yun, Prerna Ravi +6
The mental model construct is widely used in HCI to refer to the knowledge structure people hold in order to reason about and interact with computing systems. Yet it is often opera…
Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts
Sumit Asthana, Hannah Rashkin, Elizabeth Clark +2
One useful application of NLP models is to support people in reading complex text from unfamiliar domains (e.g., scientific articles). Simplifying the entire text makes it understa…
Summaries, Highlights, and Action items: Design, implementation and evaluation of an LLM-powered meeting recap system
Sumit Asthana, Sagih Hilleli, Pengcheng He +1
Meetings play a critical infrastructural role in coordinating work. The recent surge of hybrid and remote meetings in computer-mediated spaces has led to new problems (e.g., more t…
Automatically Labeling Low Quality Content on Wikipedia by Leveraging Patterns in Editing Behaviors
Sumit Asthana, Sabrina Tobar Thommel, Aaron Lee Halfaker +1
Wikipedia articles aim to be definitive sources of encyclopedic content. Yet, only 0.6% of Wikipedia articles have high quality according to its quality scale due to insufficient n…