Arpita Vats

According to our database, Arpita Vats authored at least 25 papers between 2020 and 2026.

Collaborative distances:

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

2026

4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview.

Benjamin Kiefer, Jan Lukas Augustin, Jon Muhovic, Mingi Jeong, Arnold Wiliem, Janez Pers, Matej Kristan, Alberto Quattrini Li, Matija Tersek, Josip Saric, Arpita Vats, Dominik Hildebrand, Rafia Rahim, Mahmut Karaaslan, Arpit Vaishya, Steve Xie, Ersin Kaya, Akib Mashrur, Tze-Hsiang Tang, Chun-Ming Tsai, Jun-Wei Hsieh, Ming-Ching Chang, Wonwoo Jo, Doyeon Lee, Yusi Cao, Lingling Li, Vinayak Nageli, Arshad Jamal, Gorthi Rama Krishna Sai Subrahmanyam, Jemo Maeng, Seongju Lee, Kyoobin Lee, Xu Liu, LiCheng Jiao, Jannik Sheikh, Martin Weinmann, Ivan Martinovic, Jose Mateus Raitz Persch, Rahul Harsha Cheppally, Mehmet E. Belviranli, Dimitris Gahtidis, Hyewon Chun, Sangmun Lee, Philipp Gorczak, Hansol Kim, Jeeyeon Jeon, Borja Carrillo Perez, Jiahui Wang, Sangmin Park, Andreas Michel, Jannick Kuester, Bettina Felten, Wolfgang Gross, Yuan Feng, Justin Davis

CoRR, April, 2026

2025

Equilibrium Dynamics and Mitigation of Gender Bias in Synthetically Generated Data.

Ashish Kattamuri, Arpita Vats, Harshwardhan Fartale, Rahul Raja, Akshata Kishore Moharir, Ishita Prasad

CoRR, November, 2025

Multimedia-Aware Question Answering: A Review of Retrieval and Cross-Modal Reasoning Architectures.

Rahul Raja, Arpita Vats

CoRR, October, 2025

RADAR: Mechanistic Pathways for Detecting Data Contamination in LLM Evaluation.

Ashish Kattamuri, Harshwardhan Fartale, Arpita Vats, Rahul Raja, Ishita Prasad

CoRR, October, 2025

Disentangling Recall and Reasoning in Transformer Models through Layer-wise Attention and Activation Analysis.

Harshwardhan Fartale, Ashish Kattamuri, Rahul Raja, Arpita Vats, Ishita Prasad, Akshata Kishore Moharir

CoRR, October, 2025

Counterfactual Risk Minimization with IPS-Weighted BPR and Self-Normalized Evaluation in Recommender Systems.

Rahul Raja, Arpita Vats

CoRR, September, 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

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

Rahul Raja, Arpita Vats

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

Bridging the Semantic Gap: Contrastive Rewards for Multilingual Text-to-SQL.

Ashish Kattamuri, Ishita Prasad, Meetu Malhotra, Arpita Vats, Rahul Raja, Albert Lie

Proceedings of the 20th International Workshop on Semantic and Social Media Adaptation and Personalization, 2025

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

Rahul Raja, Arpita Vats

Proceedings of the 3rd International Workshop on Deep Multimodal Generation and Retrieval, 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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Arpita Vats, Rahul Raja, Vinija Jain, Aman Chadha

Proceedings of the IEEE International Conference on Big Data, 2025

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