GAICo: A Deployed and Extensible Framework for Evaluating Diverse and Multimodal Generative AI Outputs

Nitin Gupta, Pallav Koppisetti, Kausik Lakkaraju, Biplav Srivastava

Proceedings of the Thirty-Eighth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI/AAAI 2026), January 2026

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating

Michael Widener, Kausik Lakkaraju, John Aydin, Biplav Srivastava

AAAI2025 Fall Symposium on AI Trustworthiness and Risk Assessment for Challenged Contexts (ATRACC), Arlington, VA, USA, Nov 2025

FABLE: A Novel Data-Flow Analysis Benchmark on Procedural Text for Large Language Model Evaluation

Vishal Pallagani, Nitin Gupta, John Aydin, Biplav Srivastava

Preprint, May 2025

Revisiting LLMs in Planning from Literature Review: a Semi-Automated Analysis Approach and Evolving Categories Representing Shifting Perspectives

Vishal Pallagani, Nitin Gupta, Bharath Chandra Muppasani, Biplav Srivastava

Proceedings of the 35th International Conference on Automated Planning and Scheduling (ICAPS), 2025, Melbourne, Australia, Nov 2025

The Case for Developing a Foundation Model for Planning-like Tasks from Scratch

Biplav Srivastava, Vishal Pallagani

Accepted at Planning and Reinforcement Learning (PRL) Workshop at ICAPS 2024

PLANTS: A Novel Problem and Dataset for Summarization of Planning-Like (PL) Tasks

Vishal Pallagani, Biplav Srivastava, Nitin Gupta

Preprint, May 2024

Building a Plan Ontology to Represent and Exploit Planning Knowledge and Its Applications

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

Accepted at Eighth International Conference on Data Science and Management of Data (CODS-COMAD '24), India, 2024