Aditya Taparia

According to our database, Aditya Taparia authored at least 16 papers between 2024 and 2026.

Collaborative distances:

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

2026

The Anatomy of Uncertainty in LLMs.

Aditya Taparia, Ransalu Senanayake, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy

CoRR, March, 2026

Learning to Configure Agentic AI Systems.

Aditya Taparia, Som Sagar, Ransalu Senanayake

CoRR, February, 2026

ExpressivityBench: Can LLMs Communicate Implicitly?

Joshua Tint, Som Sagar, Aditya Taparia, Kelly Raines, Bimsara Pathiraja, Caleb Liu, Ransalu Senanayake

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments.

Mario A. Leiva, Noel Ngu, Joshua Shay Kricheli, Aditya Taparia, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, John Corcoran, Gerardo I. Simari

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments.

Mario A. Leiva, Noel Ngu, Joshua Shay Kricheli, Aditya Taparia, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, Jack Corcoran, Gerardo I. Simari

CoRR, May, 2025

VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection.

Aditya Taparia, Noel Ngu, Mario A. Leiva, Joshua Shay Kricheli, John Corcoran, Nathaniel D. Bastian, Gerardo I. Simari, Paulo Shakarian, Ransalu Senanayake

CoRR, May, 2025

Multiple Distribution Shift - Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation.

Noel Ngu, Aditya Taparia, Gerardo I. Simari, Mario A. Leiva, Jack Corcoran, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian

CoRR, February, 2025

BaTCAVe: Trustworthy Explanations for Robot Behaviors.

Som Sagar, Aditya Taparia, Harsh Mankodiya, Pranav Bidare, Yifan Zhou, Ransalu Senanayake

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks' Internal Representations.

Aditya Taparia, Som Sagar, Ransalu Senanayake

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Multiple Distribution Shift - Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation.

Noel Ngu, Aditya Taparia, Gerardo I. Simari, Mario A. Leiva, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, John Corcoran

Proceedings of the 2025 AAAI Spring Symposium Series, 2025

2024

ExpressivityArena: Can LLMs Express Information Implicitly?

Joshua Tint, Som Sagar, Aditya Taparia, Kelly Raines, Bimsara Pathiraja, Caleb Liu, Ransalu Senanayake

CoRR, 2024

LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded".

Som Sagar, Aditya Taparia, Ransalu Senanayake

CoRR, 2024

Trustworthy Conceptual Explanations for Neural Networks in Robot Decision-Making.

Som Sagar, Aditya Taparia, Harsh Mankodiya, Pranav Bidare, Yifan Zhou, Ransalu Senanayake

CoRR, 2024

Explainable Concept Generation through Vision-Language Preference Learning.

Aditya Taparia, Som Sagar, Ransalu Senanayake

CoRR, 2024

HPix: Generating Vector Maps from Satellite Images.

Aditya Taparia, Keshab Nath

CoRR, 2024

Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models.

Som Sagar, Aditya Taparia, Ransalu Senanayake

Proceedings of the Forty-first International Conference on Machine Learning, 2024