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Fine-Tuning

487 directly classified papers

Papers per year

Papers

Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models EMNLP 2022
Data-Efficient Concept Extraction from Pre-trained Language Models for Commonsense Explanation Generation EMNLP 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis EMNLP 2022
An Improved Baseline for Sentence-level Relation Extraction AACL 2022
Can Machines Read Coding Manuals Yet? – A Benchmark for Building Better Language Models for Code Understanding AAAI 2022
iCompass Working Notes for the Nuanced Arabic Dialect Identification Shared task EMNLP 2022
Examining Large Pre-Trained Language Models for Machine Translation: What You Don’t Know about It EMNLP 2022
Performance-Efficiency Trade-Offs in Adapting Language Models to Text Classification Tasks IJCNLP 2022
Multilingual Machine Translation Evaluation Metrics Fine-tuned on Pseudo-Negative Examples for WMT 2021 Metrics Task EMNLP 2021
CUNI Systems for WMT21: Terminology Translation Shared Task EMNLP 2021
Kakao Enterprise’s WMT21 Machine Translation Using Terminologies Task Submission EMNLP 2021
CoreLM: Coreference-aware Language Model Fine-Tuning EMNLP 2021
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding EMNLP 2021
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics CVPR 2021
Regularising Fisher Information Improves Cross-lingual Generalisation EMNLP 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning ACL 2021
Training and Domain Adaptation for Supervised Text Segmentation EACL 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning NIPS 2021
Gradual Fine-Tuning for Low-Resource Domain Adaptation EACL 2021
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data ACL 2021
RuleBERT: Teaching Soft Rules to Pre-Trained Language Models EMNLP 2021
A Theoretical Analysis of Fine-tuning with Linear Teachers NIPS 2021
Coping with Noisy Training Data Labels in Paraphrase Detection EMNLP 2021
Investigating Learning Dynamics of BERT Fine-Tuning AACL 2020
PATQUEST: Papago Translation Quality Estimation EMNLP 2020