Mayank Kejriwal

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 111

Top Venues

Publications

Mayank Kejriwal
Designing Social Good Semantic Computing Architectures for the Long Tail: Case Studies, Evaluation, and Challenges. ICSC (2024)
Zhisheng Tang, Ke Shen, Mayank Kejriwal
An Evaluation of Estimative Uncertainty in Large Language Models. CoRR (2024)
Navapat Nananukul, Khanin Sisaengsuwanchai, Mayank Kejriwal
Cost-efficient prompt engineering for unsupervised entity resolution in the product matching domain. Discov. Artif. Intell. 4 (1) (2024)
Adin Aberbach, Mayank Kejriwal, Ke Shen
Multipartite Entity Resolution: Motivating a K-Tuple Perspective (Student Abstract). AAAI (2024)
Zhisheng Tang, Mayank Kejriwal
GRASP: A Grid-Based Benchmark for Evaluating Commonsense Spatial Reasoning. CoRR (2024)
Henrique Santos, Ke Shen, Alice M. Mulvehill, Mayank Kejriwal, Deborah L. McGuinness
A Theoretically Grounded Question Answering Data Set for Evaluating Machine Common Sense. Data Intell. 6 (1) (2024)
Mayank Kejriwal, Hamid Haidarian, Min-Hsueh Chiu, Andy Xiang, Deep Shrestha, Faizan Javed
A Semantic Search Engine for Helping Patients Find Doctors and Locations in a Large Healthcare Organization. SIGIR (2024)
Yongyi Ji, Zhisheng Tang, Mayank Kejriwal
Is persona enough for personality? Using ChatGPT to reconstruct an agent's latent personality from simple descriptions. CoRR (2024)
Mayank Kejriwal, Eric J. Kildebeck, Robert J. Steininger, Abhinav Shrivastava
Challenges, evaluation and opportunities for open-world learning. Nat. Mac. Intell. 6 (6) (2024)
Mayank Kejriwal, Victoria Petryshyn
Advancing computational sustainability in higher education. Nat. Comput. Sci. 4 (6) (2024)
Yidan Sun, Mayank Kejriwal
DeepGraph: Multi-Cluster Interactive Visualization of Complex Networks in a Learned Representation Space. ASONAM (2023)
Mayank Kejriwal
Named Entity Resolution in Personal Knowledge Graphs. CoRR (2023)
Zhisheng Tang, Mayank Kejriwal
Can Language Models Be Used in Multistep Commonsense Planning Domains? AGI (2023)
Katarina Doctor, Mayank Kejriwal, Lawrence Holder, Eric J. Kildebeck, Emma Resmini, Christopher Pereyda, Robert J. Steininger, Daniel V. Olivença
Understanding and Estimating Domain Complexity Across Domains. CoRR (2023)
Khanin Sisaengsuwanchai, Navapat Nananukul, Mayank Kejriwal
How does prompt engineering affect ChatGPT performance on unsupervised entity resolution? CoRR (2023)
Mayank Kejriwal, Hamid Haidarian, Min-Hsueh Chiu, Andy Xiang, Deep Shrestha, Faizan Javed
A Knowledge Graph-Based Search Engine for Robustly Finding Doctors and Locations in the Healthcare Domain. CoRR (2023)
Ke Shen, Mayank Kejriwal
An Analytical Approximation of Simplicial Complex Distributions in Communication Networks. COMPLEX NETWORKS (4) (2023)
Zhisheng Tang, Mayank Kejriwal
A Pilot Evaluation of ChatGPT and DALL-E 2 on Decision Making and Spatial Reasoning. CoRR (2023)
Xinyu Liu, Tiancheng Sun, Diantian Fu, Zijue Li, Sheng Qian, Ruyue Meng, Mayank Kejriwal
Automatic Semantic Typing of Pet E-commerce Products Using Crowdsourced Reviews: An Experimental Study. KGSWC (2023)
Zhisheng Tang, Mayank Kejriwal
Evaluating deep generative models on cognitive tasks: a case study. Discov. Artif. Intell. 3 (1) (2023)
Yidan Sun, Mayank Kejriwal
A structural study of Big Tech firm-switching of inventors in the post-recession era. ASONAM (2023)
Prasad Calyam, Mayank Kejriwal, Praveen Rao, Jianlin Cheng, Weichao Wang, Linquan Bai, V. Sriram Siddhardh Nadendla, Sanjay Madria, Sajal K. Das, Rohit Chadha, Khaza Anuarul Hoque, Kannappan Palaniappan, Kiran Neupane, Roshan Lal Neupane, Sankeerth Gandhari, Mukesh Singhal, Lotfi Ben Othmane, Meng Yu, Vijay Anand, Bharat K. Bhargava, Brett Robertson, Kerk F. Kee, Patrice Buzzanell, Natalie A. Bolton, Harsh Taneja
Towards a Domain-Agnostic Knowledge Graph-as-a-Service Infrastructure for Active Cyber Defense with Intelligent Agents. AIPR (2023)
Ke Shen, Mayank Kejriwal
An experimental study measuring the generalization of fine-tuned language representation models across commonsense reasoning benchmarks. Expert Syst. J. Knowl. Eng. 40 (5) (2023)
Mayank Kejriwal, Henrique Santos, Ke Shen, Alice M. Mulvehill, Deborah L. McGuinness
Context-Rich Evaluation of Machine Common Sense. AGI (2023)
Min-Hsueh Chiu, Mayank Kejriwal
A Model and Structural Analysis of Networked Bitcoin Transaction Flows. COMPLEX NETWORKS (3) (2023)
Navapat Nananukul, Mayank Kejriwal
HALO: An Ontology for Representing Hallucinations in Generative Models. CoRR (2023)
Xiyao Cheng, Yuanxun Zhang, Harsh Joshi, Mayank Kejriwal, Prasad Calyam
Knowledge Graph-based Embedding for Connecting Scholars in Academic Social Networks. DSAA (2023)
Katarina Doctor, Christine Task, Eric J. Kildebeck, Mayank Kejriwal, Lawrence Holder, Russell Leong
Toward Defining a Domain Complexity Measure Across Domains. CoRR (2023)
Ke Shen, Mayank Kejriwal
A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores. CoRR (2023)
Yidan Sun, Mayank Kejriwal
A structural study of Big Tech firm-switching of inventors in the post-recession era. CoRR (2023)
Mayank Kejriwal, Yuesheng Luo
On the Empirical Association between Trade Network Complexity and Global Gross Domestic Product. CoRR (2022)
Akarsh Nagaraj, Mayank Kejriwal
Robust Quantification of Gender Disparity in Pre-Modern English Literature using Natural Language Processing. CoRR (2022)
Mayank Kejriwal, Ke Shen
Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks? CoRR (2022)
Ke Shen, Mayank Kejriwal
Understanding Substructures in Commonsense Relations in ConceptNet. CoRR (2022)
Mayank Kejriwal
Knowledge Graphs: A Practical Review of the Research Landscape. Inf. 13 (4) (2022)
Mayank Kejriwal, Ke Shen, Chien-Chun Ni, Nicolas Torzec
Transfer-based taxonomy induction over concept labels. Eng. Appl. Artif. Intell. 108 (2022)
Mayank Kejriwal, Yuesheng Luo
On the Empirical Association Between Trade Network Complexity and Global Gross Domestic Product. COMPLEX NETWORKS (1) (2022)
Zhisheng Tang, Mayank Kejriwal
Can Language Representation Models Think in Bets? CoRR (2022)
Minda Hu, Mayank Kejriwal
Measuring spatio-textual affinities in twitter between two urban metropolises. J. Comput. Soc. Sci. 5 (1) (2022)
Mayank Kejriwal, Pedro A. Szekely
Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain. IEEE Trans. Big Data 8 (3) (2022)
Mayank Kejriwal, Zhisheng Tang
Evaluating Language Representation Models on Approximately Rational Decision Making Problems. CogSci (2022)
Ke Shen, Mayank Kejriwal
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes. CoRR (2022)
Henrique Santos, Ke Shen, Alice M. Mulvehill, Yasaman Razeghi, Deborah L. McGuinness, Mayank Kejriwal
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense. CoRR (2022)
Trevor Bonjour, Marina Haliem, Aala Oqab Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Mayank Kejriwal, Bharat K. Bhargava
Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach. IEEE Trans. Emerg. Top. Comput. Intell. 6 (6) (2022)
Mayank Kejriwal, Henrique Santos, Alice M. Mulvehill, Deborah L. McGuinness
Designing a strong test for measuring true common-sense reasoning. Nat. Mach. Intell. 4 (4) (2022)
Yuesheng Luo, Mayank Kejriwal
Understanding COVID-19 Vaccine Reaction Through Comparative Analysis on Twitter. SAI (1) (2022)
Sara Melotte, Mayank Kejriwal
Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets. CoRR (2021)
Minda Hu, Ashwin Rao, Mayank Kejriwal, Kristina Lerman
Socioeconomic Correlates of Anti-Science Attitudes in the US. Future Internet 13 (6) (2021)
Mayank Kejriwal, Ke Shen
Unsupervised real-time induction and interactive visualization of taxonomies over domain-specific concepts. ASONAM (2021)
Mayank Kejriwal
Unsupervised DNF Blocking for Efficient Linking of Knowledge Graphs and Tables. Inf. 12 (3) (2021)
Ke Shen, Mayank Kejriwal
On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models. SGAI Conf. (2021)
Mayank Kejriwal, Ke Shen, Chien-Chun Ni, Nicolas Torzec
An evaluation and annotation methodology for product category matching in e-commerce. Comput. Ind. 131 (2021)
Marina Haliem, Trevor Bonjour, Aala Oqab Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Bharat K. Bhargava, Mayank Kejriwal
Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach. CoRR (2021)
Mayank Kejriwal, Qile Wang, Hongyu Li, Lu Wang
An empirical study of emoji usage on Twitter in linguistic and national contexts. Online Soc. Networks Media 24 (2021)
Mayank Kejriwal
Link Prediction Between Structured Geopolitical Events: Models and Experiments. Frontiers Big Data 4 (2021)
Yuesheng Luo, Mayank Kejriwal
Understanding COVID-19 Vaccine Reaction through Comparative Analysis on Twitter. CoRR (2021)
Mayank Kejriwal, Ravi Kiran Selvam, Chien-Chun Ni, Nicolas Torzec
Empirical Best Practices On Using Product-Specific Schema.org. AAAI (2021)
Mayank Kejriwal
A meta-engine for building domain-specific search engines. Softw. Impacts 7 (2021)
Mayank Kejriwal, Ge Fang, Ying Zhou
A Feasibility Study of Open-Source Sentiment Analysis and Text Classification Systems on Disaster-Specific Social Media Data. SSCI (2021)
Sara Melotte, Mayank Kejriwal
A Geo-Tagged COVID-19 Twitter Dataset for 10 North American Metropolitan Areas over a 255-Day Period. Data 6 (6) (2021)
Mayank Kejriwal, Shilpa Thomas
A multi-agent simulator for generating novelty in monopoly. Simul. Model. Pract. Theory 112 (2021)
Ravi Kiran Selvam, Mayank Kejriwal
On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices. CoRR (2020)
Mayank Kejriwal, Ke Shen
Do Fine-tuned Commonsense Language Models Really Generalize? CoRR (2020)
Mayank Kejriwal, Peilin Zhou
On detecting urgency in short crisis messages using minimal supervision and transfer learning. Soc. Netw. Anal. Min. 10 (1) (2020)
Mayank Kejriwal, Ravi Kiran Selvam, Chien-Chun Ni, Nicolas Torzec
Locally Constructing Product Taxonomies from Scratch Using Representation Learning. ASONAM (2020)
Mayank Kejriwal, Akarsh Dang
Structural studies of the global networks exposed in the Panama papers. Appl. Netw. Sci. 5 (1) (2020)
Jiayuan Ding, Mayank Kejriwal
An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction. CoRR (2020)
Ke Shen, Mayank Kejriwal
A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base. CoRR (2020)
Mayank Kejriwal, Yao Gu
Network-theoretic modeling of complex activity using UK online sex advertisements. Appl. Netw. Sci. 5 (1) (2020)
Mayank Kejriwal, Pedro A. Szekely
myDIG: Personalized Illicit Domain-Specific Knowledge Discovery with No Programming. Future Internet 11 (3) (2019)
Mayank Kejriwal, Peilin Zhou
Low-supervision urgency detection and transfer in short crisis messages. CoRR (2019)
Mayank Kejriwal, Peilin Zhou
Low-supervision urgency detection and transfer in short crisis messages. ASONAM (2019)
Mozhdeh Gheini, Mayank Kejriwal
Unsupervised Product Entity Resolution using Graph Representation Learning. eCOM@SIGIR (2019)
Mayank Kejriwal, Runqi Shao, Pedro A. Szekely
Expert-Guided Entity Extraction using Expressive Rules. SIGIR (2019)
Mayank Kejriwal, Peilin Zhou
SAVIZ: interactive exploration and visualization of situation labeling classifiers over crisis social media data. ASONAM (2019)
Shuo Zhang, Mayank Kejriwal
Concept drift in bias and sensationalism detection: an experimental study. ASONAM (2019)
Mayank Kejriwal, Pedro A. Szekely
Co-LOD: Continuous Space Linked Open Data. ISWC (Satellites) (2019)
Mayank Kejriwal, Juan F. Sequeda, Vanessa Lopez
Knowledge graphs: Construction, management and querying. Semantic Web 10 (6) (2019)
Mayank Kejriwal, Rahul Kapoor
Network-theoretic information extraction quality assessment in the human trafficking domain. Appl. Netw. Sci. 4 (1) (2019)
Mayank Kejriwal, Jing Peng, Haotian Zhang, Pedro A. Szekely
Structured Event Entity Resolution in Humanitarian Domains. ISWC (1) (2018)
Yao Gu, Mayank Kejriwal
Unsupervised Hashtag Retrieval and Visualization for Crisis Informatics. CoRR (2018)
Tongtao Zhang, Ananya Subburathinam, Ge Shi, Lifu Huang, Di Lu, Xiaoman Pan, Manling Li, Boliang Zhang, Qingyun Wang, Spencer Whitehead, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Ruiqi Zhong, Steven Shao, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Dongyu Li, Xin Huang, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Mayank Kejriwal, Ram Nevatia, Pedro A. Szekely, T. K. Satish Kumar, Ali Sadeghian, Giacomo Bergami, Sourav Dutta, Miguel E. Rodríguez, Daisy Zhe Wang
GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC (2018)
Kyle Hundman, Thamme Gowda, Mayank Kejriwal, Benedikt Boecking
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection. AIES (2018)
Pedro A. Szekely, Mayank Kejriwal
Domain-specific Insight Graphs (DIG). WWW (Companion Volume) (2018)
Jie Tang, Michalis Vazirgiannis, Yuxiao Dong, Fragkiskos D. Malliaros, Michael Cochez, Mayank Kejriwal, Achim Rettinger
BigNet 2018 Chairs' Welcome & Organization. WWW (Companion Volume) (2018)
Mayank Kejriwal, Pedro A. Szekely
Constructing Domain-Specific Search Engines With No Programming. AAAI (2018)
Mayank Kejriwal, Pedro A. Szekely, Craig A. Knoblock
Investigative Knowledge Discovery for Combating Illicit Activities. IEEE Intell. Syst. 33 (1) (2018)
Mayank Kejriwal, Yao Gu
A Pipeline for Post-Crisis Twitter Data Acquisition. CoRR (2018)
Mayank Kejriwal, Daniel Gilley, Pedro A. Szekely, Jill Crisman
THOR: Text-enabled Analytics for Humanitarian Operations. WWW (Companion Volume) (2018)
Daye Nam, Mayank Kejriwal
How Do Organizations Publish Semantic Markup? Three Case Studies Using Public Schema.org Crawls. Computer 51 (6) (2018)
Mayank Kejriwal, Pedro A. Szekely
Technology-assisted Investigative Search: A Case Study from an Illicit Domain. CHI Extended Abstracts (2018)
Mayank Kejriwal, Pedro A. Szekely
Neural Embeddings for Populated Geonames Locations. ISWC (2) (2017)
Rahul Kapoor, Mayank Kejriwal, Pedro A. Szekely
Using contexts and constraints for improved geotagging of human trafficking webpages. GeoRich@SIGMOD (2017)
Mayank Kejriwal, Pedro A. Szekely
Supervised typing of big graphs using semantic embeddings. SBD@SIGMOD (2017)
Mayank Kejriwal, Pedro A. Szekely
Information Extraction in Illicit Domains. CoRR (2017)
Mayank Kejriwal, Pedro A. Szekely
Information Extraction in Illicit Web Domains. WWW (2017)
Mayank Kejriwal, Pedro A. Szekely
Scalable Generation of Type Embeddings Using the ABox. Open J. Semantic Web 4 (1) (2017)
Mayank Kejriwal
Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain. DSMM@SIGMOD (2017)
Rahul Kapoor, Mayank Kejriwal, Pedro A. Szekely
Using Contexts and Constraints for Improved Geotagging of Human Trafficking Webpages. CoRR (2017)
Mayank Kejriwal
Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain. CoRR (2017)

Mayank Kejriwal.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Mayank Kejriwal