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model robustness

478 papers

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Co-occurring keywords

adversarial attack (1599) adversarial training (1261) adversarial robustness (1335) text classification (6776) adversarial example (563) data augmentation (3037) large language model (12755) adversarial learning (1592) natural language processing (2027) domain generalization (1517)

Papers

Towards Accurate and Robust Architectures via Neural Architecture Search CVPR 2024
Gender and Language Identification in Multilingual Models of Speech: Exploring the Genericity and Robustness of Speech Representations INTERSPEECH 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data NIPS 2024
Revisiting the Self-Consistency Challenges in Multi-Choice Question Formats for Large Language Model Evaluation COLING 2024
CodeFort: Robust Training for Code Generation Models EMNLP 2024
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing CVPR 2024
Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustness EMNLP 2024
Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology EMNLP 2024
SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024
Fight Back Against Jailbreaking via Prompt Adversarial Tuning NIPS 2024
Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding EMNLP 2024
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models EMNLP 2024
Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset NAACL 2024
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models EMNLP 2024
Fooling the Textual Fooler via Randomizing Latent Representations ACL 2024
The Effects of Data Quality on Named Entity Recognition EACL 2024
Fine-grained Control of Generative Data Augmentation in IoT Sensing NIPS 2024
Probing Critical Learning Dynamics of PLMs for Hate Speech Detection EACL 2024
On the Worst Prompt Performance of Large Language Models NIPS 2024
DC4L: Distribution shift recovery via data-driven control for deep learning models L4DC 2024
Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models ACL 2024
Representation Noising: A Defence Mechanism Against Harmful Finetuning NIPS 2024
Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness NAACL 2024
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment EMNLP 2024
Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators ACL 2024