language model robustness

Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages NAACL 2025 Factual Knowledge in Language Models: Robustness and Anomalies under Simple Temporal Context Variations ACL 2025 Superfluous Instruction: Vulnerabilities Stemming from Task-Specific Superficial Expressions in Instruction Templates ACL 2025 FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation EMNLP 2024 “Knowing When You Don’t Know”: A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation EMNLP 2024 Prompt Perturbation Consistency Learning for Robust Language Models EACL 2024 SETLEXSEM CHALLENGE: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models NeurIPS 2024 Bi-Phone: Modeling Inter Language Phonetic Influences in Text ACL 2023 Impact of Adversarial Training on Robustness and Generalizability of Language Models ACL 2023 Improving Robustness of Language Models from a Geometry-aware Perspective ACL 2022 Imputing Out-of-Vocabulary Embeddings with LOVE Makes LanguageModels Robust with Little Cost ACL 2022 SemAttack: Natural Textual Attacks via Different Semantic Spaces NAACL 2022 TAPE: Assessing Few-shot Russian Language Understanding EMNLP 2022 Towards Explainable Evaluation of Language Models on the Semantic Similarity of Visual Concepts COLING 2022 ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model NAACL 2022 How Emotionally Stable is ALBERT? Testing Robustness with Stochastic Weight Averaging on a Sentiment Analysis Task EMNLP 2021