Publications
This section contains publications published by ISI over the past several decades.
2024
Is persona enough for personality? Using ChatGPT to reconstruct an agent's latent personality from simple descriptions
Yongyi Ji, Zhisheng Tang, Mayank Kejriwal
arXiv preprint arXiv:2406.12216, 2024
Advancing computational sustainability in higher education
Mayank Kejriwal, Victoria Petryshyn
Nature Computational Science, 1-2, 2024
HALO: an ontology for representing and categorizing hallucinations in large language models
Navapat Nananukul, Mayank Kejriwal
Disruptive Technologies in Information Sciences VIII 13058, 86-100, 2024
Challenges, evaluation and opportunities for open-world learning
Mayank Kejriwal, Eric Kildebeck, Robert Steininger, Abhinav Shrivastava
Nature Machine Intelligence 6 (6), 580-588, 2024
An evaluation of estimative uncertainty in large language models
Zhisheng Tang, Ke Shen, Mayank Kejriwal
arXiv preprint arXiv:2405.15185, 2024
Cost-efficient prompt engineering for unsupervised entity resolution
Navapat Nananukul, Khanin Sisaengsuwanchai, Mayank Kejriwal
2024
A noise audit of human-labeled benchmarks for machine commonsense reasoning
Mayank Kejriwal, Henrique Santos, Ke Shen, Alice M Mulvehill, Deborah L McGuinness
Scientific Reports 14 (1), 8609, 2024
Multipartite Entity Resolution: Motivating a K-Tuple Perspective (Student Abstract)
Adin Aberbach, Mayank Kejriwal, Ke Shen
Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23434 …, 2024
Designing Social Good Semantic Computing Architectures for the Long Tail: Case Studies, Evaluation, and Challenges
Mayank Kejriwal
2024 IEEE 18th International Conference on Semantic Computing (ICSC), 253-260, 2024
A Theoretically Grounded Question Answering Data Set for Evaluating Machine Common Sense
Henrique Santos, Ke Shen, Alice M Mulvehill, Mayank Kejriwal, Deborah L McGuinness
Data Intelligence 6 (1), 1-28, 2024
DiscoverArtificial Intelligence
Navapat Nananukul, Khanin Sisaengsuwanchai, Mayank Kejriwal
Discover 4, 56, 2024
Preface for the Third International Workshop on Knowledge Graph Generation from Text
Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D'Souza, Mayank Kejriwal
CEUR WORKSHOP PROCEEDINGS 3747, 1-4, 2024
A Large Language Model-based Approach for Analyzing Covariates of Health Equity in Registered Research Projects
Navapat Nananukul, Mayank Kejriwal
medRxiv.09. 24.24314327, 2024
Check for updates A Model and Structural Analysis of Networked Bitcoin Transaction Flows
Min-Hsueh Chiu, Mayank Kejriwal
Complex Networks & Their Applications XII: Proceedings of The Twelfth …, 2024
Quantifying Gender Disparity in Pre-Modern English Literature using Natural Language Processing.
Mayank Kejriwal, Akarsh Nagaraj
Journal of Data Science 22 (1), 2024
A simple quantum simulation algorithm with near-optimal precision scaling
Amir Kalev, Itay Hen
arXiv preprint arXiv:2412.10667, 2024
Post-training approach for mitigating overfitting in quantum convolutional neural networks
Aakash Ravindra Shinde, Charu Jain, Amir Kalev
Physical Review A 110 (4), 042409, 2024
Feynman path integrals for discrete-variable systems: Walks on Hamiltonian graphs
Amir Kalev, Itay Hen
arXiv preprint arXiv:2407.11231, 2024
Prospects for NMR spectral prediction on fault-tolerant quantum computers
Justin E Elenewski, Christina M Camara, Amir Kalev
arXiv preprint arXiv:2406.09340, 2024
A Monte Carlo algorithm for calculating the overlap between ground states
Itay Hen, Lev Barash, Amir Kalev
Bulletin of the American Physical Society, 2024