counterfactual data augmentation

Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios? AAAI 2026 Domain Faithfulness through Counterfactually Robust Learning CLeaR 2026 HCMUSDroneBoys at SemEval-2026 Task 11: Asymmetric Counterfactual Debiasing and Rank-Sensitive Logical Invariance Adaptation for Syllogistic Reasoning SemEval 2026 Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation ACL 2026 Thesis Proposal: Auditing and Mitigating Demographic Bias in Multi-Stage Retrieval Systems for Criminal Justice Applications ACL 2026 Causal Information Prioritization for Efficient Reinforcement Learning ICLR 2025 Debiasing Large Language Models in Thai Political Stance Detection via Counterfactual Calibration EMNLP 2025 Dually Self-Improved Counterfactual Data Augmentation Using Large Language Model ACL 2025 Enhancing Hate Speech Classifiers through a Gradient-assisted Counterfactual Text Generation Strategy EMNLP 2025 Iterative Counterfactual Data Augmentation AAAI 2025 Will the Prince Get True Love’s Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts NAACL 2025 Addressing Both Statistical and Causal Gender Fairness in NLP Models NAACL 2024 A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution NAACL 2024 Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation IJCAI 2024 Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models ACL 2024 Debiasing Multimodal Sarcasm Detection with Contrastive Learning AAAI 2024 Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models EACL 2024 Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning NAACL 2024 Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models EMNLP 2024 MAFIA: Multi-Adapter Fused Inclusive Language Models EACL 2024 Towards Fairer NLP Models: Handling Gender Bias In Classification Tasks ACL 2024 An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models ACL 2023 A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis ACML 2023 CAISA at SemEval-2023 Task 8: Counterfactual Data Augmentation for Mitigating Class Imbalance in Causal Claim Identification SemEval 2023 Data Augmentations for Improved (Large) Language Model Generalization NeurIPS 2023