Bharath Muppasani

According to our database, Bharath Muppasani authored at least 13 papers between 2022 and 2024.

Collaborative distances:

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

2024

Towards Effective Planning Strategies for Dynamic Opinion Networks.

Bharath Muppasani, Protik Nag, Vignesh Narayanan, Biplav Srivastava, Michael N. Huhns

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

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

Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning.

Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava, Michael N. Huhns

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

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

A Dataset and Baseline Approach for Identifying Usage States from Non-intrusive Power Sensing with MiDAS IoT-Based Sensors.

Bharath Muppasani, Cheyyur Jaya Anand, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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