Padmakumar, Aishwarya

7 publications

NeurIPSW 2024 AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails Shaona Ghosh, Prasoon Varshney, Makesh Narsimhan Sreedhar, Aishwarya Padmakumar, Traian Rebedea, Jibin Rajan Varghese, Christopher Parisien

AAAI 2024 VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation Jialu Li, Aishwarya Padmakumar, Gaurav S. Sukhatme, Mohit Bansal

NeurIPSW 2023 Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language Di Jin, Shikib Mehri, Devamanyu Hazarika, Aishwarya Padmakumar, Sungjin Lee, Yang Liu, Mahdi Namazifar

AAAI 2022 TEACh: Task-Driven Embodied Agents That Chat Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella, Robinson Piramuthu, Gökhan Tür, Dilek Hakkani-Tür

AAAI 2021 Dialog Policy Learning for Joint Clarification and Active Learning Queries Aishwarya Padmakumar, Raymond J. Mooney

JAIR 2020 Jointly Improving Parsing and Perception for Natural Language Commands Through Human-Robot Dialog Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney

CoRL 2017 Opportunistic Active Learning for Grounding Natural Language Descriptions Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin W. Hart, Peter Stone, Raymond J. Mooney