Vishal Pallagani

According to our database, Vishal Pallagani authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS).

Vishal Pallagani, Kaushik Roy, Bharath Muppasani, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth

CoRR, 2024

2023

On safe and usable chatbots for promoting voter participation.

Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett W. Robertson, Andrea Hickerson, Vignesh Narayanan

AI Mag., September, 2023

On Solving the Rubik's Cube with Domain-Independent Planners Using Standard Representations.

Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Forest Agostinelli

CoRR, 2023

A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency.

Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Raghava Mutharaju, Michael N. Huhns, Vignesh Narayanan

CoRR, 2023

Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes.

Kausik Lakkaraju, Sai Krishna Revanth Vuruma, Vishal Pallagani, Bharath Muppasani, Biplav Srivastava

CoRR, 2023

Understanding the Capabilities of Large Language Models for Automated Planning.

Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava, Lior Horesh, Francesco Fabiano, Andrea Loreggia

CoRR, 2023

Fast and Slow Planning.

Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava

CoRR, 2023

Building and Using a Planning Ontology from Past Data for Performance Efficiency.

Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Raghava Mutharaju

Proceedings of the 1st International Planning and Ontology Workshop co-located with The 33rd International Conference on Automated Planning and Scheduling (ICAPS 2023), 2023

Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers.

Vishal Pallagani, Bharath Muppasani, Biplav Srivastava, Francesca Rossi, Lior Horesh, Keerthiram Murugesan, Andrea Loreggia, Francesco Fabiano, Rony Joseph, Yathin Kethepalli

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

LLMs for Financial Advisement: A Fairness and Efficacy Study in Personal Decision Making.

Kausik Lakkaraju, Sara E. Jones, Sai Krishna Revanth Vuruma, Vishal Pallagani, Bharath C. Muppasani, Biplav Srivastava

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Value-based Fast and Slow AI Nudging.

Marianna Bergamaschi Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable

Proceedings of the Workshop on Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches (ETHAICS 2023) co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) Macao, 2023

2022

Plansformer: Generating Symbolic Plans using Transformers.

Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Lior Horesh, Biplav Srivastava, Francesco Fabiano, Andrea Loreggia

CoRR, 2022

A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process.

Vishal Pallagani, Priyadharsini Ramamurthy, Vedant Khandelwal, Revathy Venkataramanan, Kausik Lakkaraju, Sathyanarayanan N. Aakur, Biplav Srivastava

CoRR, 2022

2021

Epistemic Planning in a Fast and Slow Setting.

Francesco Fabiano, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava

Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021

2020

sCrop: A Internet-of-Agro-Things (IoAT) Enabled Solar Powered Smart Device for Automatic Plant Disease Prediction.

Venkanna Udutalapally, Saraju P. Mohanty, Vishal Pallagani, Vedant Khandelwal

CoRR, 2020

Medical Knowledge-enriched Textual Entailment Framework.

Shweta Yadav, Vishal Pallagani, Amit P. Sheth

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

dCrop: A Deep-Learning Based Framework for Accurate Prediction of Diseases of Crops in Smart Agriculture.

Vishal Pallagani, Vedant Khandelwal, Bharath Chandra, Venkanna Udutalapally, Debanjan Das, Saraju P. Mohanty

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2019

2018

IoT based smart home automation system using sensor node.

Himanshu Singh, Vishal Pallagani, Vedant Khandelwal, U. Venkanna

Proceedings of the 2018 4th International Conference on Recent Advances in Information Technology (RAIT), 2018