parameter-efficient tuning

Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts EMNLP 2022 Learning Label Modular Prompts for Text Classification in the Wild EMNLP 2022 LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting COLING 2022 Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks COLING 2022 PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion EMNLP 2022 Parameter-Efficient Legal Domain Adaptation EMNLP 2022 Parameter-Efficient Tuning Makes a Good Classification Head EMNLP 2022 PPT: Pre-trained Prompt Tuning for Few-shot Learning ACL 2022 PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks EMNLP 2022 Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models EMNLP 2022 Revisiting Parameter-Efficient Tuning: Are We Really There Yet? EMNLP 2022 SLPL-Sentiment at SemEval-2022 Task 10: Making Use of Pre-Trained Model’s Attention Values in Structured Sentiment Analysis SemEval 2022 Sparse Structure Search for Delta Tuning NeurIPS 2022 UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning ACL 2022 UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis NAACL 2022 LQF: Linear Quadratic Fine-Tuning CVPR 2021 Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning EMNLP 2021 Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation EACL 2021 Robust Transfer Learning with Pretrained Language Models through Adapters ACL 2021 Masking as an Efficient Alternative to Finetuning for Pretrained Language Models EMNLP 2020 Simple, Scalable Adaptation for Neural Machine Translation EMNLP 2019