Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study. - Yash Khemchandani; Sarvesh Mehtani; Vaidehi Patil; Abhijeet Awasthi; Partha P. Talukdar; Sunita Sarawagi (ACL/IJCNLP (1), 2021)

Detecting Document Versions and Their Ordering in a Collection. - Natwar Modani; Anurag Maurya; Gaurav Verma; Inderjeet Nair; Vaidehi Patil; Anirudh Kanfade (WISE (2), 2021)

Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages. - Vaidehi Patil; Partha P. Talukdar; Sunita Sarawagi (ACL (1), 2022)

Characterization of a Meso-Scale Wearable Robot for Bathing Assistance. - Fukang Liu; Vaidehi Patil; Zackory Erickson; Fatma Zeynep Temel (ROBIO, 2022)

Debiasing Multimodal Models via Causal Information Minimization. - Vaidehi Patil; Adyasha Maharana; Mohit Bansal (EMNLP (Findings), 2023)

Safe to Approach: Insights on Autonomous Vehicle Interaction Protocols with First Responders. - Seong Hee Lee; Vaidehi Patil; Nicholas Britten; Avram Block; Aryaman Pandya; Malte F. Jung; Paul Schmitt (HRI (Companion), 2023)

The Road Ahead: Advancing Interactions between Autonomous Vehicles, Pedestrians, and Other Road Users. - Avram Block; Swapna Joshi; Wilbert Tabone; Aryaman Pandya; Seonghee Lee; Vaidehi Patil; Nicholas Britten; Paul Schmitt (RO-MAN, 2023)

GEMS: Scene Expansion using Generative Models of Graphs. - Rishi Agarwal; Tirupati Saketh Chandra; Vaidehi Patil; Aniruddha Mahapatra; Kuldeep Kulkarni; Vishwa Vinay (WACV, 2023)

REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset. - Vaidehi Patil; Leonardo F. R. Ribeiro; Mengwen Liu; Mohit Bansal; Markus Dreyer (ACL (1), 2024)

Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks. - Vaidehi Patil; Peter Hase; Mohit Bansal (ICLR, 2024)

Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation. - Vaidehi Patil; Yi-Lin Sung; Peter Hase; Jie Peng 002; Tianlong Chen 001; Mohit Bansal (Trans. Mach. Learn. Res., 2024)

SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation. - Jaehong Yoon; Shoubin Yu; Vaidehi Patil; Huaxiu Yao; Mohit Bansal (ICLR, 2025)

UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning. - Vaidehi Patil; Elias Stengel-Eskin; Mohit Bansal (CoRR, 2025)