rationale extraction

52 papers

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text classification (6776) model interpretability (510) explanation generation (188) explainable ai (478) large language model (12755) sequence labeling (824) multi-task learning (2556) interpretable machine learning (139) language model (4573) toxic span detection (86)

Papers

Explanation Regularisation through the Lens of Attributions COLING 2025

RATIONALYST: Pre-training Process-Supervision for Improving Reasoning ACL 2025

Connecting Concept Layers and Rationales to Enhance Language Model Interpretability EMNLP 2025

Learning from Committee: Reasoning Distillation from a Mixture of Teachers with Peer-Review ACL 2025

Table-Text Alignment: Explaining Claim Verification Against Tables in Scientific Papers EMNLP 2025

Rationale-based Opinion Summarization NAACL 2024

MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction EMNLP 2024

Denoising Rationalization for Multi-hop Fact Verification via Multi-granular Explainer EMNLP 2024

Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization NIPS 2024

Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales NAACL 2024

On the Interplay between Fairness and Explainability NAACL 2024

Towards Explainable Multi-Label Text Classification: A Multi-Task Rationalisation Framework for Identifying Indicators of Forced Labour EMNLP 2024

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes ACL 2023

REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization EMNLP 2023

Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning AAAI 2023

REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization CONLL 2023

Model Interpretability and Rationale Extraction by Input Mask Optimization ACL 2023

Unsupervised Selective Rationalization with Noise Injection ACL 2023

Flexible Instance-Specific Rationalization of NLP Models AAAI 2022

UNIREX: A Unified Learning Framework for Language Model Rationale Extraction ICML 2022

DARE: Disentanglement-Augmented Rationale Extraction NIPS 2022

The Irrationality of Neural Rationale Models NAACL 2022

Translation Error Detection as Rationale Extraction ACL 2022

Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction AAAI 2022

A Rationale-Centric Framework for Human-in-the-loop Machine Learning ACL 2022