Arpita Vats

According to our database, Arpita Vats authored at least 18 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Comprehensive Review on Harnessing Large Language Models to Overcome Recommender System Challenges.

Rahul Raja, Anshaj Vats, Arpita Vats, Anirban Majumder

CoRR, July, 2025

Beyond Nearest Neighbors: Semantic Compression and Graph-Augmented Retrieval for Enhanced Vector Search.

Rahul Raja, Arpita Vats

CoRR, July, 2025

Evaluating Generalization and Representation Stability in Small LMs via Prompting, Fine-Tuning and Out-of-Distribution Prompts.

Rahul Raja, Arpita Vats

CoRR, June, 2025

Alignment Quality Index (AQI) : Beyond Refusals: AQI as an Intrinsic Alignment Diagnostic via Latent Geometry, Cluster Divergence, and Layer wise Pooled Representations.

Abhilekh Borah, Chhavi Sharma, Danush Khanna, Utkarsh Bhatt, Gurpreet Singh, Hasnat Md Abdullah, Raghav Kaushik Ravi, Vinija Jain, Jyoti Patel, Shubham Singh, Vasu Sharma, Arpita Vats, Rahul Raja, Aman Chadha, Amitava Das

CoRR, June, 2025

FUSE : A Ridge and Random Forest-Based Metric for Evaluating MT in Indigenous Languages.

Rahul Raja, Arpita Vats

CoRR, April, 2025

Parallel Corpora for Machine Translation in Low-resource Indic Languages: A Comprehensive Review.

Rahul Raja, Arpita Vats

CoRR, March, 2025

Multilingual State Space Models for Structured Question Answering in Indic Languages.

Arpita Vats, Rahul Raja, Mrinal Mathur, Vinija Jain, Aman Chadha

CoRR, February, 2025

2024

Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review.

Arpita Vats, Vinija Jain, Rahul Raja, Aman Chadha

CoRR, 2024

Recovering from Privacy-Preserving Masking with Large Language Models.

Arpita Vats, Zhe Liu, Peng Su, Debjyoti Paul, Yingyi Ma, Yutong Pang, Zeeshan Ahmed, Ozlem Kalinli

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Facial Emotion Recognition.

Arpita Vats, Aman Chadha

CoRR, 2023

1^st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.

Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Ziqiang Zheng, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Enhancing Retail Checkout through Video Inpainting, YOLOv8 Detection, and DeepSort Tracking.

Arpita Vats, David C. Anastasiu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.

Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Ziqiang Zheng, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang

CoRR, 2022

CLP: A Platform for Competitive Learning.

Arpita Vats, Gheorghi Guzun, David C. Anastasiu

Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022

Key Point-Based Driver Activity Recognition.

Arpita Vats, David C. Anastasiu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Estimation of Warfarin Dosage with Reinforcement Learning.

Arpita Vats

CoRR, 2021

COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings.

Manuel Morales, Rachel Barbar, Darshan Gandhi, Sanskruti Landage, Joseph Bae, Arpita Vats, Jil Kothari, Sheshank Shankar, Rohan Sukumaran, Himi Mathur, Krutika Misra, Aishwarya Saxena, Parth Patwa, Sethuraman T. V., Maurizio Arseni, Shailesh Advani, Kasia Jakimowicz, Sunaina Anand, Priyanshi Katiyar, Ashley Mehra, Rohan Iyer, Srinidhi Murali, Aryan Mahindra, Mikhail Dmitrienko, Saurish Srivastava, Ananya Gangavarapu, Steve Penrod, Vivek Sharma, Abhishek Singh, Ramesh Raskar

CoRR, 2021

2020

Understanding the hand-gestures using Convolutional Neural Networks and Generative Adversial Networks.

Arpita Vats

CoRR, 2020