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ORCIDVaidehi Patil
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2020 – today
- 2024
[c10]Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer:
REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset. ACL (1) 2024: 13773-13786- [c9]Vaidehi Patil, Peter Hase, Mohit Bansal:
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks. ICLR 2024 - [i7]Jaehong Yoon, Shoubin Yu, Vaidehi Patil, Huaxiu Yao, Mohit Bansal:
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation. CoRR abs/2410.12761 (2024) - 2023
- [c8]Vaidehi Patil, Adyasha Maharana, Mohit Bansal:
Debiasing Multimodal Models via Causal Information Minimization. EMNLP (Findings) 2023: 4108-4123 - [c7]Seong Hee Lee, Vaidehi Patil, Nicholas Britten, Avram Block, Aryaman Pandya, Malte F. Jung, Paul Schmitt:
Safe to Approach: Insights on Autonomous Vehicle Interaction Protocols with First Responders. HRI (Companion) 2023: 399-402 - [c6]Avram Block, Swapna Joshi, Wilbert Tabone
, Aryaman Pandya, Seonghee Lee, Vaidehi Patil, Nicholas Britten, Paul Schmitt:
The Road Ahead: Advancing Interactions between Autonomous Vehicles, Pedestrians, and Other Road Users. RO-MAN 2023: 16-23 - [c5]Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil, Aniruddha Mahapatra, Kuldeep Kulkarni, Vishwa Vinay:
GEMS: Scene Expansion using Generative Models of Graphs. WACV 2023: 157-166 - [i6]Vaidehi Patil, Peter Hase, Mohit Bansal:
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks. CoRR abs/2309.17410 (2023) - [i5]Vaidehi Patil, Adyasha Maharana, Mohit Bansal:
Debiasing Multimodal Models via Causal Information Minimization. CoRR abs/2311.16941 (2023) - 2022
- [c4]Vaidehi Patil, Partha P. Talukdar, Sunita Sarawagi:
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages. ACL (1) 2022: 219-233 - [c3]Fukang Liu, Vaidehi Patil, Zackory Erickson, Fatma Zeynep Temel:
Characterization of a Meso-Scale Wearable Robot for Bathing Assistance. ROBIO 2022: 2146-2152 - [i4]Fukang Liu, Vaidehi Patil, Zackory Erickson, Fatma Zeynep Temel:
Characterization of a Meso-Scale Wearable Robot for Bathing Assistance. CoRR abs/2202.13008 (2022) - [i3]Vaidehi Patil, Partha P. Talukdar, Sunita Sarawagi:
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages. CoRR abs/2203.01976 (2022) - [i2]Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil, Aniruddha Mahapatra, Kuldeep Kulkarni, Vishwa Vinay:
GEMS: Scene Expansion using Generative Models of Graphs. CoRR abs/2207.03729 (2022) - 2021
- [c2]Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil, Abhijeet Awasthi, Partha P. Talukdar, Sunita Sarawagi:
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study. ACL/IJCNLP (1) 2021: 1312-1323 - [c1]Natwar Modani, Anurag Maurya, Gaurav Verma, Inderjeet Nair, Vaidehi Patil, Anirudh Kanfade:
Detecting Document Versions and Their Ordering in a Collection. WISE (2) 2021: 405-419 - [i1]Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil, Abhijeet Awasthi, Partha P. Talukdar, Sunita Sarawagi:
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study. CoRR abs/2106.03958 (2021)
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