nlp model

Analyzing Interview Questions via Bloom’s Taxonomy to Enhance the Design Thinking Process ACL 2025 On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs NAACL 2025 Addressing Both Statistical and Causal Gender Fairness in NLP Models NAACL 2024 Latent Concept-based Explanation of NLP Models EMNLP 2024 Measuring the Robustness of NLP Models to Domain Shifts EMNLP 2024 Privacy Evaluation Benchmarks for NLP Models EMNLP 2024 Pro-Woman, Anti-Man? Identifying Gender Bias in Stance Detection ACL 2024 AutoML for NLP EACL 2023 Debunking Biases in Attention ACL 2023 Discovering Salient Neurons in deep NLP models JMLR 2023 Evaluating Neuron Interpretation Methods of NLP Models NeurIPS 2023 In and Out-of-Domain Text Adversarial Robustness via Label Smoothing ACL 2023 Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation EMNLP 2023 The NCTE Transcripts: A Dataset of Elementary Math Classroom Transcripts ACL 2023 A Dataset of Sustainable Diet Arguments on Twitter EMNLP 2022 A survey on improving NLP models with human explanations ACL 2022 Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation ACL 2022 Human-Centered Evaluation of Explanations NAACL 2022 Measure and Improve Robustness in NLP Models: A Survey NAACL 2022 MockingBERT: A Method for Retroactively Adding Resilience to NLP Models COLING 2022 Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP EMNLP 2022 Word Level Robustness Enhancement: Fight Perturbation with Perturbation AAAI 2022 Attention vs non-attention for a Shapley-based explanation method NAACL 2021 Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models NAACL 2021 Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract) IJCAI 2021