Aditya Taparia

17 papers A* 3A 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments. AAAI Mario A. Leiva, Noel Ngu, Joshua Shay Kricheli, Aditya Taparia, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, John Corcoran, Gerardo I. Simari
2026	—	`conf`	ExpressivityBench: Can LLMs Communicate Implicitly? EACL (Findings) Joshua Tint, Som Sagar, Aditya Taparia, Kelly Raines, Bimsara Pathiraja, Caleb Liu, Ransalu Senanayake
2026	J	`jnl`	Learning to Configure Agentic AI Systems. CoRR Aditya Taparia, Som Sagar, Ransalu Senanayake
2026	J	`jnl`	The Anatomy of Uncertainty in LLMs. CoRR Aditya Taparia, Ransalu Senanayake, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy
2025	A	`conf`	BaTCAVe: Trustworthy Explanations for Robot Behaviors. IROS Som Sagar, Aditya Taparia, Harsh Mankodiya, Pranav Bidare, Yifan Zhou, Ransalu Senanayake
2025	J	`jnl`	Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments. CoRR Mario A. Leiva, Noel Ngu, Joshua Shay Kricheli, Aditya Taparia, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, Jack Corcoran, Gerardo I. Simari
2025	A*	`conf`	Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks' Internal Representations. ICML Aditya Taparia, Som Sagar, Ransalu Senanayake
2025	—	`conf`	Multiple Distribution Shift - Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation. AAAI Spring Symposia Noel Ngu, Aditya Taparia, Gerardo I. Simari, Mario A. Leiva, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, John Corcoran
2025	J	`jnl`	Multiple Distribution Shift - Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation. CoRR Noel Ngu, Aditya Taparia, Gerardo I. Simari, Mario A. Leiva, Jack Corcoran, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian
2025	J	`jnl`	VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection. CoRR Aditya Taparia, Noel Ngu, Mario A. Leiva, Joshua Shay Kricheli, John Corcoran, Nathaniel D. Bastian, Gerardo I. Simari, Paulo Shakarian, Ransalu Senanayake
2024	J	`jnl`	Explainable Concept Generation through Vision-Language Preference Learning. CoRR Aditya Taparia, Som Sagar, Ransalu Senanayake
2024	J	`jnl`	ExpressivityArena: Can LLMs Express Information Implicitly? CoRR Joshua Tint, Som Sagar, Aditya Taparia, Kelly Raines, Bimsara Pathiraja, Caleb Liu, Ransalu Senanayake
2024	A*	`conf`	Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models. ICML Som Sagar, Aditya Taparia, Ransalu Senanayake
2024	J	`jnl`	Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models. CoRR Som Sagar, Aditya Taparia, Ransalu Senanayake
2024	J	`jnl`	HPix: Generating Vector Maps from Satellite Images. CoRR Aditya Taparia, Keshab Nath
2024	J	`jnl`	LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded". CoRR Som Sagar, Aditya Taparia, Ransalu Senanayake
2024	J	`jnl`	Trustworthy Conceptual Explanations for Neural Networks in Robot Decision-Making. CoRR Som Sagar, Aditya Taparia, Harsh Mankodiya, Pranav Bidare, Yifan Zhou, Ransalu Senanayake