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Artificial Intelligence › Core AI ›

Robustness

49 papers

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37

Papers

ReTRE: Benchmarking LLM Transfer Robustness with Structure-Preserving Variants ACL 2026

Understanding the Prompt Sensitivity ACL 2026

Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models ACL 2026

What About the Scene With the Hitler Reference? HAUNT: A Framework to Probe LLMs’ Self-consistency in Closed Domains Via Adversarial Nudge ACL 2026

CHOIR: Harmonizing Structured Persona Diversity for Robust Collaborative LLM Reasoning ACL 2026

Attention Under Attack: Analog Noise Effects and Mechanistic Vulnerabilities in Transformer Models ACL 2026

Robust Explanations for User Trust in Enterprise NLP Systems ACL 2026

RVO-MIS: Robust Visual Odometry for Minimally Invasive Surgery MIDL 2026

Aloe-Vision: Robust Vision-Language Models for Healthcare MIDL 2026

Revealing Hidden Failure Modes in Chest X-ray Classification via Spectral Domain Analysis MIDL 2026

Automated Quality Assessment of Blind Sweep Obstetric Ultrasound for Improved Diagnosis MIDL 2026

On the Stability and Robustness of Vision Transformers for Neurodegenerative Disease Classification MIDL 2026

Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes CVPR 2025

Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning NIPS 2024

CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models ACL 2024

On the Robustness of Editing Large Language Models EMNLP 2024

AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion CVPR 2023

Understanding Simultaneous Train and Test Robustness ALT 2022

Are Transformers more robust than CNNs? NIPS 2021

Reliability Testing for Natural Language Processing Systems ACL 2021

Defending Multimodal Fusion Models Against Single-Source Adversaries CVPR 2021

Robust Learning Through Cross-Task Consistency CVPR 2020

How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization EMNLP 2020

Robust Adversarial Reinforcement Learning ICML 2017