| 2025 | ACL | Finding Needles in Images: Can Multi-modal LLMs Locate Fine Details? | Parth Thakkar, Ankush Agarwal, Prasad Kasu, Pulkit Bansal, Chaitanya Devaguptapu |
| 2025 | EMNLP | Can LLMs Help You at Work? A Sandbox for Evaluating LLM Agents in Enterprise Environments. | Harsh Vishwakarma, Ankush Agarwal, Ojas Patil, Chaitanya Devaguptapu, Mahesh Chandran |
| 2025 | NAACL | Hybrid Graphs for Table-and-Text based Question Answering using LLMs. | Ankush Agarwal, Chaitanya Devaguptapu, Ganesh S |
| 2024 | ACL | HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. | Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, A. P. Prathosh |
| 2022 | LREC | Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain. | Ankush Agarwal, Raj Gite, Shreya Laddha, Pushpak Bhattacharyya, Satyanarayan Kar, Asif Ekbal, Prabhjit Thind, Rajesh Zele, Ravi Shankar |
| 2020 | IGARSS | Feature-Based Template Matching for Joggled Fishplate Detection in Railroad Track with Drone Images. | Aradhya Saini, Ankush Agarwal, Dharmendra Singh |
| 2019 | IGARSS | Development of Machine Learning Based Approach for Computing Optimal Vegetation Index with The Use of Sentinel-2 And Drone Data. | Ankush Agarwal, Sandeep Kumar, Dharmendra Singh |
| 2017 | WSC | Finite variance unbiased estimation of stochastic differential equations. | Ankush Agarwal, Emmanuel Gobet |
| 2013 | WSC | Comparing optimal convergence rate of stochastic mesh and least squares method for bermudan option pricing. | Ankush Agarwal, Sandeep Juneja |