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)