Understanding the hand-gestures using Convolutional Neural Networks and Generative Adversial Networks. - Arpita Vats (CoRR, 2020)

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; et al. (CoRR, 2021)

Estimation of Warfarin Dosage with Reinforcement Learning. - Arpita Vats (CoRR, 2021)

Key Point-Based Driver Activity Recognition. - Arpita Vats; David C. Anastasiu (CVPR Workshops, 2022)

CLP: A Platform for Competitive Learning. - Arpita Vats; Gheorghi Guzun; David C. Anastasiu (EC-TEL, 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; et al. (CoRR, 2022)

Enhancing Retail Checkout through Video Inpainting, YOLOv8 Detection, and DeepSort Tracking. - Arpita Vats; David C. Anastasiu (CVPR Workshops, 2023)

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; et al. (WACV (Workshops), 2023)

Facial Emotion Recognition. - Arpita Vats; Aman Chadha (CoRR, 2023)

Recovering from Privacy-Preserving Masking with Large Language Models. - Arpita Vats; Zhe Liu 011; Peng Su; Debjyoti Paul; Yingyi Ma; Yutong Pang; Zeeshan Ahmed; Ozlem Kalinli (ICASSP, 2024)

Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review. - Arpita Vats; Vinija Jain; Rahul Raja; Aman Chadha (CoRR, 2024)

Multilingual State Space Models for Structured Question Answering in Indic Languages. - Arpita Vats; Rahul Raja; Mrinal Mathur; Vinija Jain; Aman Chadha (CoRR, 2025)

Parallel Corpora for Machine Translation in Low-resource Indic Languages: A Comprehensive Review. - Rahul Raja; Arpita Vats (CoRR, 2025)

FUSE : A Ridge and Random Forest-Based Metric for Evaluating MT in Indigenous Languages. - Rahul Raja; Arpita Vats (CoRR, 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; et al. (CoRR, 2025)

Evaluating Generalization and Representation Stability in Small LMs via Prompting, Fine-Tuning and Out-of-Distribution Prompts. - Rahul Raja; Arpita Vats (CoRR, 2025)

Beyond Nearest Neighbors: Semantic Compression and Graph-Augmented Retrieval for Enhanced Vector Search. - Rahul Raja; Arpita Vats (CoRR, 2025)

A Comprehensive Review on Harnessing Large Language Models to Overcome Recommender System Challenges. - Rahul Raja; Anshaj Vats; Arpita Vats; Anirban Majumder (CoRR, 2025)