A Multi-Branched Radial Basis Network Approach to Predicting Complex Chaotic Behaviours. - Aarush Sinha (CoRR, 2024)

ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models. - Vipula Rawte; Sarthak Jain; Aarush Sinha; Garv Kaushik; Aman Bansal; Prathiksha Rumale Vishwanath; Samyak Rajesh Jain; Aishwarya Naresh Reganti; Vinija Jain; Aman Chadha; Amit P. Sheth; Amitava Das 001 (CoRR, 2024)

ArxEval: Evaluating Retrieval and Generation in Language Models for Scientific Literature. - Aarush Sinha; Viraj Virk; Dipshikha Chakraborty; P. S. Sreeja (CoRR, 2025)

Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation. - Jaskaran Singh Walia; Aarush Sinha; Srinitish Srinivasan; Srihari Unnikrishnan (CoRR, 2025)

Graph Masked Language Models. - Aarush Sinha; C. Kumar 004 (CoRR, 2025)

Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval. - Aarush Sinha (CoRR, 2025)