Publications
This section contains publications published by ISI over the past several decades.
2024
Cost-efficient prompt engineering for unsupervised entity resolution
Navapat Nananukul, Khanin Sisaengsuwanchai, Mayank Kejriwal
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
mDPO: Conditional Preference Optimization for Multimodal Large Language Models
Fei Wang, Wenxuan Zhou, James Y Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen
EMNLP 2024, 2024
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding
Fei Wang, Xingyu Fu, James Y Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
ICLR 2025, 2024
Contrastive Instruction Tuning
Tianyi Yan, Fei Wang, James Y Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen
ACL 2024 (Findings), 2024
New insights into grocery store visits among east Los Angeles residents using mobility data
Mengya Xu, John P Wilson, Wändi Bruine de Bruin, Leo Lerner, Abigail L Horn, Michelle Sarah Livings, Kayla de la Haye
Health & Place 87, 103220, 2024
Effect of mobile food environments on fast food visits
Bernardo García Bulle Bueno, Abigail L Horn, Brooke M Bell, Mohsen Bahrami, Burçin Bozkaya, Alex Pentland, Kayla De la Haye, Esteban Moro
Nature Communications 15 (1), 2291, 2024
Preparing for Future Airborne Pandemics: Lessons Learned from a Los Angeles Travel Case Study
Caroline Rodier, Yunwan Zhang, Abigail Horn, Ihab Kaddoura, Sebastian Müller
More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play
Wichayaporn Wongkamjan, Feng Gu, Yanze Wang, Ulf Hermjakob, Jonathan May, Brandon M Stewart, Jonathan K Kummerfeld, Denis Peskoff, Jordan Lee Boyd-Graber
arXiv preprint arXiv:2406.04643, 2024
Exact and universal quantum Monte Carlo estimators for energy susceptibility and fidelity susceptibility
Nic Ezzell, Lev Barash, Itay Hen
arXiv preprint arXiv:2408.03924, 2024
ClassiFIM: an unsupervised method to detect phase transitions
Victor Kasatkin, Evgeny Mozgunov, Nicholas Ezzell, Utkarsh Mishra, Itay Hen, Daniel Lidar
arXiv preprint arXiv:2408.03323, 2024
Quantum Monte Carlo from polynomial roots
Lev Barash, Arman Babakhani, Itay Hen
Bulletin of the American Physical Society, 2024