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Artificial Intelligence
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Transfer Learning
8,078 papers
Papers per year
2002: 2
2003: 1
2005: 3
2006: 5
2007: 12
2008: 7
2009: 7
2010: 16
2011: 15
2012: 13
2013: 35
2014: 32
2015: 40
2016: 72
2017: 149
2018: 341
2019: 619
2020: 711
2021: 992
2022: 980
2023: 1182
2024: 1282
2025: 1254
2026: 308
Papers
The unreasonable effectiveness of large language models for low-resource clause-level morphology: In-context generalization or prior exposure?
NAACL 2024
A Comparison of Fine-Tuning and In-Context Learning for Clause-Level Morphosyntactic Alternation
NAACL 2024
Experiments in Mamba Sequence Modeling and NLLB-200 Fine-Tuning for Low Resource Multilingual Machine Translation
NAACL 2024
Synthetic Data Generation for Low-resource Grammatical Error Correction with Tagged Corruption Models
NAACL 2024
Automated Scoring of Clinical Patient Notes: Findings From the Kaggle Competition and Their Translation into Practice
NAACL 2024
Improving Transfer Learning for Early Forecasting of Academic Performance by Contextualizing Language Models
NAACL 2024
Automated Essay Scoring Using Grammatical Variety and Errors with Multi-Task Learning and Item Response Theory
NAACL 2024
Transfer Learning of Argument Mining in Student Essays
NAACL 2024
Predicting Item Difficulty and Item Response Time with Scalar-mixed Transformer Encoder Models and Rational Network Regression Heads
NAACL 2024
Efficient Medical Question Answering with Knowledge-Augmented Question Generation
NAACL 2024
Building A German Clinical Named Entity Recognition System without In-domain Training Data
NAACL 2024
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain
NAACL 2024
LlamaMTS: Optimizing Metastasis Detection with Llama Instruction Tuning and BERT-Based Ensemble in Italian Clinical Reports
NAACL 2024
Leveraging Wikidata for Biomedical Entity Linking in a Low-Resource Setting: A Case Study for German
NAACL 2024
Leveraging pre-trained large language models for aphasia detection in English and Chinese speakers
NAACL 2024
Adapting Abstract Meaning Representation Parsing to the Clinical Narrative – the SPRING THYME parser
NAACL 2024
A Report on the FigLang 2024 Shared Task on Multimodal Figurative Language
NAACL 2024
MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer
NAACL 2024
What explains the success of cross-modal fine-tuning with ORCA?
NAACL 2024
Does Fine-tuning a Classifier Help in Low-budget Scenarios? Not Much
NAACL 2024
Can probing classifiers reveal the learning by contact center large language models?: No, it doesn’t!
NAACL 2024
Multi-Task Learning with Adapters for Plausibility Prediction: Bridging the Gap or Falling into the Trenches?
NAACL 2024
News Deja Vu: Connecting Past and Present with Semantic Search
NAACL 2024
Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels
NAACL 2024
T5-Medical at SemEval-2024 Task 2: Using T5 Medical Embedding for Natural Language Inference on Clinical Trial Data
NAACL 2024
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