Aarush Sinha

According to our database, Aarush Sinha authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation.

Aarush Sinha, Arion Das, Soumyadeep Nag, Charan Karnati, Shravani Nag, Chandra Vadhan Raj, Aman Chadha, Vinija Jain, Suranjana Trivedy, Amitava Das

CoRR, April, 2026

ECI: Effective Contrastive Information to Evaluate Hard-Negatives.

Aarush Sinha, Rahul Seetharaman, Aman Bansal

CoRR, March, 2026

BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives.

Aarush Sinha, Pavan Kumar S, Roshan Balaji, Nirav Pravinbhai Bhatt

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval.

Aarush Sinha

CoRR, April, 2025

Graph Masked Language Models.

Aarush Sinha, C. Kumar

CoRR, March, 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, February, 2025

ArxEval: Evaluating Retrieval and Generation in Language Models for Scientific Literature.

Aarush Sinha, Viraj Virk, Dipshikha Chakraborty, P. S. Sreeja

CoRR, January, 2025

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

CoRR, 2024

A Multi-Branched Radial Basis Network Approach to Predicting Complex Chaotic Behaviours.

Aarush Sinha

CoRR, 2024