Fine-Tuning

Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters EMNLP 2022 Towards Efficient and Scalable Sharpness-Aware Minimization CVPR 2022 Towards Unified Prompt Tuning for Few-shot Text Classification EMNLP 2022 Training Dynamics for Text Summarization Models ACL 2022 Translation Word-Level Auto-Completion: What Can We Achieve Out of the Box? EMNLP 2022 Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation ACL 2022 UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning ACL 2022 Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models ACL 2022 Using Transformer-based Models for Taxonomy Enrichment and Sentence Classification EMNLP 2022 Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding EMNLP 2022 What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment EMNLP 2022 Yet at the FinNLP-2022 ERAI Task: Modified models for evaluating the Rationales of Amateur Investors EMNLP 2022 AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT ACL 2021 An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models ACL 2021 Are BERTs Sensitive to Native Interference in L2 Production? EMNLP 2021 Aspect-Controllable Opinion Summarization EMNLP 2021 AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models EMNLP 2021 AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks AAAI 2021 AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain EMNLP 2021 Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning EMNLP 2021 Better Fine-Tuning by Reducing Representational Collapse ICLR 2021 BinaryBERT: Pushing the Limit of BERT Quantization ACL 2021 Controlling Machine Translation for Multiple Attributes with Additive Interventions EMNLP 2021 ConvFiT: Conversational Fine-Tuning of Pretrained Language Models EMNLP 2021 Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation EMNLP 2021