Publications
All 11 publications by Aditya Taparia, newest first. Each links to a page with the abstract and citation.
VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2026 · Shortlisted for Best Research Track Student Paper Award 🎗The Anatomy of Uncertainty in LLMs
ICBINB Workshop at the International Conference on Learning Representations (ICLR), 2026ExpressivityBench: Can LLMs Communicate Implicitly?
Findings of the Association for Computational Linguistics: EACL, 2026Learning to Configure Agentic AI Systems
arXiv preprint, 2026Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments
Proceedings of the AAAI Conference on Artificial Intelligence, 2026BaTCAVe: Trustworthy Explanations for Robot Behaviors
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks' Internal Representations
International Conference on Machine Learning (ICML), 2025Multiple Distribution Shift-Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation
Proceedings of the AAAI Symposium Series, 2025LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded"
NeurIPS Workshop on Red Teaming GenAI, 2024Transforming satellite imagery into vector maps using modified GANs
Alexandria Engineering Journal, 2024Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models
International Conference on Machine Learning (ICML), 2024 · Spotlight (top 3.5%) 🎗