6 papers
Fine-Tuning VLAs with Self-Demonstrated Generative Control for Multi-Task Manipulation
Prachi Garg, Steve Xing, Prahit Yaugand +2
State-of-the-art vision-language-action (VLA) models such as exhibit strong semantic understanding, instruction following and task behavior. However, when deployed on new…
Decomposing Queries into Tool Calls for Long-Video Keyframe Retrieval
Michal Shlapentokh-Rothman, Prachi Garg, Yu-Xiong Wang +1
Keyframe selection is a direct way to provide verifiable visual evidence for long-video question answering (QA). Queries differ in what they require, and finding the right frames d…
Hidden Structural Variants in ALD NbN Superconducting Trilayers Revealed by Atomistic Analysis
Prachi Garg, Danqing Wang, Hong X. Tang +1
Microscopic inhomogeneity within superconducting films is a critical bottleneck hindering the performance and scalability of quantum circuits. All-nitride Josephson Junctions (JJs)…
All-nitride superconducting qubits based on atomic layer deposition
Danqing Wang, Yufeng Wu, Naomi Pieczulewski +6
The development of large-scale quantum processors benefits from superconducting qubits that can operate at elevated temperatures and be fabricated with scalable, foundry-compatible…
Revealing degradation mechanisms in YSZ ceramics through machine learning-guided aging and multiscale characterization
Prachi Garg, Baishakhi Mazumder
The long-term performance of yttria-stabilized zirconia (YSZ) based energy and biomedical devices is compromised by low-temperature degradation (LTD). This study presents a novel i…
POET: Prompt Offset Tuning for Continual Human Action Adaptation
Prachi Garg, Joseph K J, Vineeth N Balasubramanian +6
As extended reality (XR) is redefining how users interact with computing devices, research in human action recognition is gaining prominence. Typically, models deployed on immersiv…