prompt perturbation

Flip-Flop Consistency: Unsupervised Training for Robustness to Prompt Perturbations in LLMs ACL 2026 QSTN: A Modular Framework for Robust Questionnaire Inference with Large Language Models EACL 2026 Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy ICML 2025 Data Poisoning for In-context Learning NAACL 2025 DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation ACL 2025 E-Bench: Towards Evaluating the Ease-of-Use of Large Language Models COLING 2025 PromptSuite: A Task-Agnostic Framework for Multi-Prompt Generation EMNLP 2025 Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? EMNLP 2025 Single Character Perturbations Break LLM Alignment AAAI 2025 Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation EMNLP 2024 Prompt Perturbation Consistency Learning for Robust Language Models EACL 2024 ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models EMNLP 2023 Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models IJCAI 2023 On the Relation between Sensitivity and Accuracy in In-Context Learning EMNLP 2023 Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts ACL 2023