Fine-Tuning
490 papers
Papers per year
1
1
4
8
16
33
58
154
209
6
'15
'20
'25
Papers
Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathy
NAACL 2022
OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models
ACL 2022
Pathologies of Pre-trained Language Models in Few-shot Fine-tuning
ACL 2022
Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation?
ACL 2022
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts
NAACL 2022
Reducing Disambiguation Biases in NMT by Leveraging Explicit Word Sense Information
NAACL 2022
Text Revision By On-the-Fly Representation Optimization
AAAI 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis
EMNLP 2022
Unsupervised multiple-choice question generation for out-of-domain Q&A fine-tuning
ACL 2022
When Does Differentially Private Learning Not Suffer in High Dimensions?
NeurIPS 2022
A Theoretical Analysis of Fine-tuning with Linear Teachers
NeurIPS 2021
Coping with Noisy Training Data Labels in Paraphrase Detection
EMNLP 2021
CoreLM: Coreference-aware Language Model Fine-Tuning
EMNLP 2021
CUNI Systems for WMT21: Terminology Translation Shared Task
EMNLP 2021
Gradual Fine-Tuning for Low-Resource Domain Adaptation
EACL 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
ACL 2021
Kakao Enterprise’s WMT21 Machine Translation Using Terminologies Task Submission
EMNLP 2021
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics
CVPR 2021
Multilingual Machine Translation Evaluation Metrics Fine-tuned on Pseudo-Negative Examples for WMT 2021 Metrics Task
EMNLP 2021
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
ACL 2021
Network Pruning That Matters: A Case Study on Retraining Variants
ICLR 2021
Regularising Fisher Information Improves Cross-lingual Generalisation
EMNLP 2021
RuleBERT: Teaching Soft Rules to Pre-Trained Language Models
EMNLP 2021
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding
EMNLP 2021
Training and Domain Adaptation for Supervised Text Segmentation
EACL 2021