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Data Augmentation

3622 directly classified papers

Papers per year

Papers

LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation ACL 2024
Towards Cost-effective Multi-style Conversations: A Pilot Study in Task-oriented Dialogue Generation COLING 2024
Deterministic Reversible Data Augmentation for Neural Machine Translation ACL 2024
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling ACL 2024
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning ACL 2024
Refining and Synthesis: A Simple yet Effective Data Augmentation Framework for Cross-Domain Aspect-based Sentiment Analysis ACL 2024
Improving Grammatical Error Correction via Contextual Data Augmentation ACL 2024
Generating Harder Cross-document Event Coreference Resolution Datasets using Metaphoric Paraphrasing ACL 2024
Step-by-Step: Controlling Arbitrary Style in Text with Large Language Models COLING 2024
Empowering Large Language Models for Textual Data Augmentation ACL 2024
Language Model Priors and Data Augmentation Strategies for Low-resource Machine Translation: A Case Study Using Finnish to Northern Sámi ACL 2024
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding COLING 2024
Text Filtering Classifiers for Medium-Resource Languages COLING 2024
CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems ACL 2024
NoteChat: A Dataset of Synthetic Patient-Physician Conversations Conditioned on Clinical Notes ACL 2024
WikiSplit++: Easy Data Refinement for Split and Rephrase COLING 2024
Consistency Training by Synthetic Question Generation for Conversational Question Answering ACL 2024
Consistent Document-level Relation Extraction via Counterfactuals EMNLP 2024
All You Need is Attention: Lightweight Attention-based Data Augmentation for Text Classification EMNLP 2024
Learning “look-ahead” nonlocal traffic dynamics in a ring road L4DC 2024
Interpretable data-driven model predictive control of building energy systems using SHAP L4DC 2024
An investigation of time reversal symmetry in reinforcement learning L4DC 2024
SpreadNaLa: A Naturalistic Code Generation Evaluation Dataset of Spreadsheet Formulas COLING 2024
What should Baby Models read? Exploring Sample-Efficient Data Composition on Model Performance CONLL 2024
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees AISTATS 2024