6 papers
Eliot: Interactively xploring Fast-Changing Scientific terature Trends with nline Daa and Learning
Bernardo A. Denkvitts, Nitin Gupta, Biplav Srivastava
The rapid growth of scientific publishing has made it increasingly difficult to track how fast-moving areas evolve. Search engines and LLM-based assistants retrieve or summarize pa…
On Sample-Efficient Generalized Planning via Learned Transition Models
Nitin Gupta, Vishal Pallagani, John A. Aydin +1
Generalized planning studies the construction of solution strategies that generalize across families of planning problems sharing a common domain model, formally defined by a trans…
GAICo: A Deployed and Extensible Framework for Evaluating Diverse and Multimodal Generative AI Outputs
Nitin Gupta, Pallav Koppisetti, Kausik Lakkaraju +1
The rapid proliferation of Generative AI (GenAI) into diverse, high-stakes domains necessitates robust and reproducible evaluation methods. However, practitioners often resort to a…
A Novel Approach to Balance Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes and its Implementation in BEACON
Vansh Nagpal, Siva Likitha Valluru, Kausik Lakkaraju +4
A common decision made by people, whether healthy or with health conditions, is choosing meals like breakfast, lunch, and dinner, comprising combinations of foods for appetizer, ma…
FABLE: A Novel Data-Flow Analysis Benchmark on Procedural Text for Large Language Model Evaluation
Vishal Pallagani, Nitin Gupta, John Aydin +1
Understanding how data moves, transforms, and persists, known as data flow, is fundamental to reasoning in procedural tasks. Despite their fluency in natural and programming langua…
SafeChat: A Framework for Building Trustworthy Collaborative Assistants and a Case Study of its Usefulness
Biplav Srivastava, Kausik Lakkaraju, Nitin Gupta +3
Collaborative assistants, or chatbots, are data-driven decision support systems that enable natural interaction for task completion. While they can meet critical needs in modern so…