4 papers · 1 filter
Open-Ended Goal Inference through Actions and Language for Human-Robot Collaboration
Debasmita Ghose, Oz Gitelson, Marynel Vazquez +1
To collaborate with humans, robots must infer goals that are often ambiguous, difficult to articulate, or not drawn from a fixed set. Prior approaches restrict inference to a prede…
I've Changed My Mind: Robots Adapting to Changing Human Goals during Collaboration
Debasmita Ghose, Oz Gitelson, Ryan Jin +3
For effective human-robot collaboration, a robot must align its actions with human goals, even as they change mid-task. Prior approaches often assume fixed goals, reducing goal pre…
Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models
Vijeta Deshpande, Debasmita Ghose, John D. Patterson +2
Diverse language model responses are crucial for creative generation, open-ended tasks, and self-improvement training. We show that common diversity metrics, and even reward models…
A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters
Shasvat Desai, Debasmita Ghose, Deep Chakraborty
Visual contrastive learning aims to learn representations by contrasting similar (positive) and dissimilar (negative) pairs of data samples. The design of these pairs significantly…