Ankush Agarwal

33 papers A* 1B 1C 2Misc 2Journal 19Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EnterpriseLab: A Full-Stack Platform for developing and deploying agents in Enterprises. CoRR Ankush Agarwal, Harsh Vishwakarma, Suraj Nagaje, Chaitanya Devaguptapu
2025	A*	`conf`	Can LLMs Help You at Work? A Sandbox for Evaluating LLM Agents in Enterprise Environments. EMNLP Harsh Vishwakarma, Ankush Agarwal, Ojas Patil, Chaitanya Devaguptapu, Mahesh Chandran
2025	J	`jnl`	Can LLMs Help You at Work? A Sandbox for Evaluating LLM Agents in Enterprise Environments. CoRR Harsh Vishwakarma, Ankush Agarwal, Ojas Patil, Chaitanya Devaguptapu, Mahesh Chandran
2025	—	`conf`	Finding Needles in Images: Can Multi-modal LLMs Locate Fine Details? ACL (1) Parth Thakkar, Ankush Agarwal, Prasad Kasu, Pulkit Bansal, Chaitanya Devaguptapu
2025	J	`jnl`	Finding Needles in Images: Can Multimodal LLMs Locate Fine Details? CoRR Parth Thakkar, Ankush Agarwal, Prasad Kasu, Pulkit Bansal, Chaitanya Devaguptapu
2025	—	`conf`	Hybrid Graphs for Table-and-Text based Question Answering using LLMs. NAACL (Long Papers) Ankush Agarwal, Chaitanya Devaguptapu, Ganesh S
2025	J	`jnl`	Hybrid Graphs for Table-and-Text based Question Answering using LLMs. CoRR Ankush Agarwal, Ganesh S, Chaitanya Devaguptapu
2024	—	`conf`	HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. ACL (1) Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, A. P. Prathosh
2024	J	`jnl`	HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. CoRR Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, A. P. Prathosh
2024	J	`jnl`	Integrating Artificial Intelligence Models and Synthetic Image Data for Enhanced Asset Inspection and Defect Identification. CoRR Reddy Mandati, Vladyslav Anderson, Po-Chen Chen, Ankush Agarwal, Tatjana Dokic, David Barnard, Michael Finn, Jesse Cromer, Andrew Mccauley, Clay Tutaj, Neha Dave, Bobby Besharati, Jamie Barnett, Timothy Krall
2024	J	`jnl`	Utilizing Spatiotemporal Data Analytics to Pinpoint Outage Location. CoRR Reddy Mandati, Po-Chen Chen, Vladyslav Anderson, Bishwa Sapkota, Michael Jarrell Warren, Bobby Besharati, Ankush Agarwal, Samuel Johnston III
2023	J	`jnl`	Hedging longevity risk in defined contribution pension schemes. Comput. Manag. Sci. Ankush Agarwal, Christian-Oliver Ewald, Yongjie Wang
2023	J	`jnl`	KITLM: Domain-Specific Knowledge InTegration into Language Models for Question Answering. CoRR Ankush Agarwal, Sakharam Gawade, Amar Prakash Azad, Pushpak Bhattacharyya
2023	J	`jnl`	Numerical approximation of McKean-Vlasov SDEs via stochastic gradient descent. CoRR Ankush Agarwal, Andrea Amato, Gonçalo Dos Reis, Stefano Pagliarani
2023	J	`jnl`	Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models. Technometrics Gilberto Chávez-Martínez, Ankush Agarwal, Abbas Khalili, Syed Ejaz Ahmed
2023	J	`jnl`	There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering. CoRR Ankush Agarwal, Sakharam Gawade, Sachin Channabasavarajendra, Pushpak Bhattacharyya
2022	B	`conf`	Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain. LREC Ankush Agarwal, Raj Gite, Shreya Laddha, Pushpak Bhattacharyya, Satyanarayan Kar, Asif Ekbal, Prabhjit Thind, Rajesh Zele, Ravi Shankar
2022	J	`jnl`	Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain. CoRR Ankush Agarwal, Raj Gite, Shreya Laddha, Pushpak Bhattacharyya, Satyanarayan Kar, Asif Ekbal, Prabhjit Thind, Rajesh Zele, Ravi Shankar
2022	—	`conf`	There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering. ICON Ankush Agarwal, Sakharam Gawade, Sachin Channabasavarajendra, Pushpak Bhattacharya
2020	C	`conf`	Feature-Based Template Matching for Joggled Fishplate Detection in Railroad Track with Drone Images. IGARSS Aradhya Saini, Ankush Agarwal, Dharmendra Singh
2019	C	`conf`	Development of Machine Learning Based Approach for Computing Optimal Vegetation Index with The Use of Sentinel-2 And Drone Data. IGARSS Ankush Agarwal, Sandeep Kumar, Dharmendra Singh
2019	J	`jnl`	Vision based rail track extraction and monitoring through drone imagery. ICT Express Arun Kumar Singh, Anushka Swarup, Ankush Agarwal, Dharmendra Singh
2018	—	`conf`	A concept of satellite-based IoT for downscaling the MODIS data to extract Land Surface Temperature. ISIVC Ankush Agarwal, Shruti Gupta, Sandeep Kumar, Dharmendra Singh
2018	—	`conf`	An Efficient Application of Fusion Approach for Agriculture Drought Estimation of Uttarakhand, India with Modis Data. ISIVC Anjana Naga Jyothi Kukunuri, Deepak Murugan, Ankush Agarwal, Dharmendra Singh
2018	—	`conf`	Critical analysis of classification techniques for precision agriculture monitoring using satellite and drone. ICIIS Ankush Agarwal, Arun Kumar Singh, Sandeep Kumar, Dharmendra Singh
2018	J	`jnl`	Portfolio Benchmarking Under Drawdown Constraint and Stochastic Sharpe Ratio. SIAM J. Financial Math. Ankush Agarwal, Ronnie Sircar
2018	J	`jnl`	Study of new rare event simulation schemes and their application to extreme scenario generation. Math. Comput. Simul. Ankush Agarwal, Stefano De Marco, Emmanuel Gobet, Gang Liu
2017	Misc	`conf`	Finite variance unbiased estimation of stochastic differential equations. WSC Ankush Agarwal, Emmanuel Gobet
2016	—	`conf`	An efficient use of IoT for satellite data in land cover monitoring to estimate LST and ET. ICIIS Ankush Agarwal, Shruti Gupta, Sandeep Kumar, Dharmendra Singh
2015	J	`jnl`	Nearest Neighbor Based Estimation Technique for Pricing Bermudan Options. IGTR Ankush Agarwal, Sandeep Juneja
2013	Misc	`conf`	Comparing optimal convergence rate of stochastic mesh and least squares method for bermudan option pricing. WSC Ankush Agarwal, Sandeep Juneja
2013	J	`jnl`	Efficient Simulation of Large Deviation Events for Sums of Random Vectors Using Saddle-Point Representations. J. Appl. Probab. Ankush Agarwal, Santanu Dey, Sandeep Juneja
2006	J	`jnl`	Estimating and reducing the memory requirements of signal processing codes for embedded systems. IEEE Trans. Signal Process. J. Ramanujam, Jinpyo Hong, Mahmut T. Kandemir, Amit Narayan, Ankush Agarwal