Tatiana Chakravorti

According to our database, Tatiana Chakravorti authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

"Confidently Nonsensical?": A Critical Survey on the Perspectives and Challenges of 'Hallucinations' in NLP.

Pranav Narayanan Venkit, Tatiana Chakravorti, Vipul Gupta, Heidi Biggs, Mukund Srinath, Koustava Goswami, Sarah Rajtmajer, Shomir Wilson

CoRR, 2024

Reproducibility, Replicability, and Transparency in Research: What 430 Professors Think in Universities across the USA and India.

Tatiana Chakravorti, Sai Dileep Koneru, Sarah Rajtmajer

CoRR, 2024

Integrating measures of replicability into scholarly search: Challenges and opportunities.

Chuhao Wu, Tatiana Chakravorti, John M. Carroll, Sarah Rajtmajer

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Integrating measures of replicability into literature search: Challenges and opportunities.

Chuhao Wu, Tatiana Chakravorti, John M. Carroll, Sarah Rajtmajer

CoRR, 2023

Perspectives from India: Challenges and Opportunities for Computational Tools to Enhance Confidence in Published Research.

Tatiana Chakravorti, Chuhao Wu, Sai Dileep Koneru, Sarah Rajtmajer

CoRR, 2023

A Prototype Hybrid Prediction Market for Estimating Replicability of Published Work.

Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton, Michael McLaughlin, Vaibhav Singh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles, Sarah Rajtmajer

Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration.

Tatiana Chakravorti, Vaibhav Singh, Sarah Rajtmajer, Michael McLaughlin, Robert Fraleigh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Artificial prediction markets present a novel opportunity for human-AI collaboration.

Tatiana Chakravorti, Vaibhav Singh, Sarah Rajmajer, Michael McLaughlin, Robert Fraleigh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles

CoRR, 2022

2020

Non linear system identification using kernel based exponentially extended random vector functional link network.

Tatiana Chakravorti, Penke Satyanarayana

Appl. Soft Comput., 2020

2019

Islanding and non-islanding disturbance detection in microgrid using optimized modes decomposition based robust random vector functional link network.

Tatiana Chakravorti, Lipsa Priyadarshini, P. K. Dash, Badri Narayan Sahu

Eng. Appl. Artif. Intell., 2019

2018

Detection and classification of islanding and power quality disturbances in microgrid using hybrid signal processing and data mining techniques.

Tatiana Chakravorti, Rajesh Kumar Patnaik, Pradipta Kishore Dash

IET Signal Process., 2018