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Methodology
← Resources & Methods
Natural Language Processing
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Resources & Methods
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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
KFU NLP Team at SMM4H 2021 Tasks: Cross-lingual and Cross-modal BERT-based Models for Adverse Drug Effects
NAACL 2021
Teaching a Massive Open Online Course on Natural Language Processing
NAACL 2021
Natural Language Processing for Computer Scientists and Data Scientists at a Large State University
NAACL 2021
On Writing a Textbook on Natural Language Processing
NAACL 2021
MG-BERT: Multi-Graph Augmented BERT for Masked Language Modeling
NAACL 2021
Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA?
ACL 2021
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
ACL 2021
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models
ACL 2021
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
ACL 2021
When Do You Need Billions of Words of Pretraining Data?
ACL 2021
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation
ACL 2021
NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques
SEMEVAL 2021
Finding BERT’s Idiomatic Key
IJCNLP 2021
Condenser: a Pre-training Architecture for Dense Retrieval
EMNLP 2021
Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution
EMNLP 2021
Universal Sentence Representation Learning with Conditional Masked Language Model
EMNLP 2021
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation
EMNLP 2021
Generating Datasets with Pretrained Language Models
EMNLP 2021
IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization
EMNLP 2021
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce
EMNLP 2021
DIRECT: Direct and Indirect Responses in Conversational Text Corpus
EMNLP 2021
‘Just What do You Think You’re Doing, Dave?’ A Checklist for Responsible Data Use in NLP
EMNLP 2021
Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching
EMNLP 2021
On the Limits of Minimal Pairs in Contrastive Evaluation
EMNLP 2021
Efficient Explanations from Empirical Explainers
EMNLP 2021
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