Publications
This section contains publications published by ISI over the past several decades.
2024
A Q-learning Novelty Search Strategy for Evaluating Robustness of Deep Reinforcement Learning in Open-world Environments
Shafkat Islam, Min-Hsueh Chiu, Trevor Bonjour, Ruy de Oliveira, Bharat Bhargava, Mayank Kejriwal
IEEE Intelligent Systems, 2024
SelECT-SQL: Self-correcting ensemble Chain-of-Thought for Text-to-SQL
Ke Shen, Mayank Kejriwal
arXiv preprint arXiv:2409.10007, 2024
Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference
Ke Shen, Mayank Kejriwal
arXiv preprint arXiv:2408.01935, 2024
PokerOWL: A Multi-Agent Poker Environment for Implementing and Evaluating Open-World Learning
Min-Hsueh Chiu, Mayank Kejriwal
2024
An Investigation of Marxist Alienation in the Postmodern Workplace in Apple TV's Severance
Mayank Kejriwal
Reintegrating Severance: Interdisciplinary Insights on Apple TV’s Dystopian …, 2024
A Semantic Search Engine for Helping Patients Find Doctors and Locations in a Large Healthcare Organization
Mayank Kejriwal, Hamid Haidarian, Min-Hsueh Chiu, Andy Xiang, Deep Shrestha, Faizan Javed
Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024
GRASP: A Grid-Based Benchmark for Evaluating Commonsense Spatial Reasoning
Zhisheng Tang, Mayank Kejriwal
arXiv preprint arXiv:2407.01892, 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