Fine-Tuning

Frozen Pretrained Transformers as Universal Computation Engines AAAI 2022 Gender Bias Mitigation for NMT Involving Genderless Languages EMNLP 2022 Generative Language Models for Paragraph-Level Question Generation EMNLP 2022 giniUs @LT-EDI-ACL2022: Aasha: Transformers based Hope-EDI ACL 2022 IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach EMNLP 2022 Improved Fine-Tuning by Better Leveraging Pre-Training Data NeurIPS 2022 Improved Text Classification via Contrastive Adversarial Training AAAI 2022 Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning EMNLP 2022 KU X Upstage’s Submission for the WMT22 Quality Estimation: Critical Error Detection Shared Task EMNLP 2022 KYB General Machine Translation Systems for WMT22 EMNLP 2022 Language Models Are Poor Learners of Directional Inference EMNLP 2022 Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns ACL 2022 Learning Better Intent Representations for Financial Open Intent Classification EMNLP 2022 Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models EMNLP 2022 Less-forgetting Multi-lingual Fine-tuning NeurIPS 2022 LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks NeurIPS 2022 Manifold’s English-Chinese System at WMT22 General MT Task EMNLP 2022 Modality-specific Learning Rates for Effective Multimodal Additive Late-fusion ACL 2022 Modular and Parameter-Efficient Fine-Tuning for NLP Models EMNLP 2022 Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects ACL 2022 NICT at MixMT 2022: Synthetic Code-Mixed Pre-training and Multi-way Fine-tuning for Hinglish–English Translation EMNLP 2022 NLP DI at NADI Shared Task Subtask-1: Sub-word Level Convolutional Neural Models and Pre-trained Binary Classifiers for Dialect Identification EMNLP 2022 On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting NeurIPS 2022 On the Cusp of Comprehensibility: Can Language Models Distinguish Between Metaphors and Nonsense? EMNLP 2022 On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning NeurIPS 2022