3 papers
cs.LG2026
Human-LLM Collaborative Feature Engineering for Tabular Data
Zhuoyan Li, Aditya Bansal, Jinzhao Li +8
Large language models (LLMs) are increasingly used to automate feature engineering in tabular learning. Given task-specific information, LLMs can propose diverse feature transforma…
cs.CL2025
Navigating the Reality Gap: On-Device Continual Adaptation of ASR for Clinical Telephony
Darshil Chauhan, Adityasinh Solanki, Vansh Patel +5
Automatic Speech Recognition (ASR) can significantly reduce documentation burden in clinical workflows, but standard models degrade sharply in real-world telephony settings where n…
cs.LG2024
Compressing VAE-Based Out-of-Distribution Detectors for Embedded Deployment
Aditya Bansal, Michael Yuhas, Arvind Easwaran
Out-of-distribution (OOD) detectors can act as safety monitors in embedded cyber-physical systems by identifying samples outside a machine learning model's training distribution to…