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Fine-Tuning

704 directly classified papers

Papers per year

Papers

UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2 AAAI 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning AAAI 2021
Perhaps PTLMs Should Go to School – A Task to Assess Open Book and Closed Book QA EMNLP 2021
Aspect-Controllable Opinion Summarization EMNLP 2021
Controlling Machine Translation for Multiple Attributes with Additive Interventions EMNLP 2021
Span Fine-tuning for Pre-trained Language Models EMNLP 2021
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media EMNLP 2021
AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models EMNLP 2021
Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech EMNLP 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models EMNLP 2021
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? EMNLP 2021
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models EMNLP 2021
Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages EMNLP 2021
Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems EMNLP 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning EMNLP 2021
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning EMNLP 2021
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction ACL 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning ACL 2021
BinaryBERT: Pushing the Limit of BERT Quantization ACL 2021
Towards Multi-Grained Explainability for Graph Neural Networks NIPS 2021
Scalable Diverse Model Selection for Accessible Transfer Learning NIPS 2021
An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models ACL 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning NIPS 2021
Stage-wise Fine-tuning for Graph-to-Text Generation ACL 2021
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers EMNLP 2021