prompt-based fine-tuning

Injecting Frame Semantics into Large Language Models via Prompt-Based Fine-Tuning EMNLP 2025 Representation Degeneration Problem in Prompt-based Models for Natural Language Understanding COLING 2024 SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics EMNLP 2024 Adversarial Knowledge Stimulated Contrastive Prompting for Few-shot Language Learners ACL 2023 Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding ACL 2023 Boosting Prompt-Based Self-Training With Mapping-Free Automatic Verbalizer for Multi-Class Classification EMNLP 2023 Comparing Prompt-Based and Standard Fine-Tuning for Urdu Text Classification EMNLP 2023 Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner NeurIPS 2023 Joint Reasoning on Hybrid-knowledge sources for Task-Oriented Dialog EACL 2023 LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning ACL 2023 DynaMaR: Dynamic Prompt with Mask Token Representation EMNLP 2022 EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization ACL 2022 FPC: Fine-tuning with Prompt Curriculum for Relation Extraction AACL 2022 GRASP: Guiding Model with RelAtional Semantics Using Prompt for Dialogue Relation Extraction COLING 2022 Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding EMNLP 2022 KU X Upstage’s Submission for the WMT22 Quality Estimation: Critical Error Detection Shared Task EMNLP 2022 Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words COLING 2022 SMASH: Improving SMAll Language Models’ Few-SHot Ability with Prompt-Based Distillation EMNLP 2022 Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning EMNLP 2021 Making Pre-trained Language Models Better Few-shot Learners ACL 2021