no code implementations • 7 Feb 2025 • Ankush Agarwal, Christian Ewald, Yihan Zou
We determine forest lease value and optimal harvesting strategies under model parameter uncertainty within stochastic bio-economic models that account for catastrophe risk.
no code implementations • 29 Jan 2025 • Ankush Agarwal, Ganesh S, Chaitanya Devaguptapu
In this paper, we present a novel Hybrid Graph-based approach for Table-Text QA that leverages LLMs without fine-tuning.
no code implementations • 15 Oct 2024 • 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
We propose a novel solution that combines synthetic asset defect images with manually labeled drone images.
no code implementations • 3 Oct 2024 • Ankush Agarwal, Ying Liao
We derive a closed-form approximation for the credit default swap (CDS) spread in the two-dimensional shifted square-root diffusion (SSRD) model using asymptotic coefficient expansion technique to approximate solutions of nonlinear partial differential equations.
no code implementations • 10 Jun 2024 • Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, Prathosh A P
To address these drawbacks and to enable LLMs to answer complex (multi-hop) questions with ease, we propose to use a knowledge graph (KG) that is context-aware and is distilled to contain query-relevant information.
1 code implementation • 7 Aug 2023 • Ankush Agarwal, Sakharam Gawade, Amar Prakash Azad, Pushpak Bhattacharyya
Our research contributes to advancing the field of domain-specific language understanding and showcases the potential of knowledge infusion techniques in improving the performance of language models on question-answering.
2 code implementations • 10 Jan 2023 • Ankush Agarwal, Sakharam Gawade, Sachin Channabasavarajendra, Pushpak Bhattacharyya
In this context, we infuse knowledge in large and small language models and study their performance, and find the performance to be similar.
Ranked #1 on
Question Answering
on AviationQA
no code implementations • LREC 2022 • Ankush Agarwal, Raj Gite, Shreya Laddha, Pushpak Bhattacharyya, Satyanarayan Kar, Asif Ekbal, Prabhjit Thind, Rajesh Zele, Ravi Shankar
We construct a Knowledge Graph from Aircraft Accident reports and contribute this resource to the community of researchers.
no code implementations • 23 Apr 2019 • Ankush Agarwal, Christian-Oliver Ewald, Yongjie Wang
We transform this constrained optimal investment problem into an unconstrained problem by replicating a self-financing portfolio of future contributions from the member and the minimum guarantee provided by the scheme.