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Methodology
← Resources & Methods
Natural Language Processing
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Resources & Methods
›
Large Language Models
9067 directly classified papers
Papers per year
2010: 1
2013: 1
2017: 1
2018: 14
2019: 129
2020: 336
2021: 463
2022: 582
2023: 1165
2024: 2492
2025: 3325
2026: 558
Papers
OFU@SMM4H’22: Mining Advent Drug Events Using Pretrained Language Models
COLING 2022
CompLx@SMM4H’22: In-domain pretrained language models for detection of adverse drug reaction mentions in English tweets
COLING 2022
The Best of Both Worlds: Combining Engineered Features with Transformers for Improved Mental Health Prediction from Reddit Posts
COLING 2022
The Effectiveness of Masked Language Modeling and Adapters for Factual Knowledge Injection
COLING 2022
Introducing QuBERT: A Large Monolingual Corpus and BERT Model for Southern Quechua
NAACL 2022
What do tokens know about their characters and how do they know it?
NAACL 2022
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
NAACL 2022
Specializing Pre-trained Language Models for Better Relational Reasoning via Network Pruning
NAACL 2022
Using Item Response Theory to Measure Gender and Racial Bias of a BERT-based Automated English Speech Assessment System
NAACL 2022
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners
NAACL 2022
Weakly Supervised Text Classification using Supervision Signals from a Language Model
NAACL 2022
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training
NAACL 2022
Training Text-to-Text Transformers with Privacy Guarantees
NAACL 2022
The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank
NAACL 2022
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
NAACL 2022
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation
NAACL 2022
PLM-ICD: Automatic ICD Coding with Pretrained Language Models
NAACL 2022
Clinical Flair: A Pre-Trained Language Model for Spanish Clinical Natural Language Processing
NAACL 2022
Don’t Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information
NAACL 2022
Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender Bias
NAACL 2022
Gender Bias in BERT - Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task
NAACL 2022
Occupational Biases in Norwegian and Multilingual Language Models
NAACL 2022
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
ACL 2022
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval
ACL 2022
HyperPrompt: Prompt-based Task-Conditioning of Transformers
ICML 2022
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