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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
GX at SemEval-2021 Task 2: BERT with Lemma Information for MCL-WiC Task
IJCNLP 2021
Many-to-English Machine Translation Tools, Data, and Pretrained Models
IJCNLP 2021
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation
EMNLP 2021
Verb Knowledge Injection for Multilingual Event Processing
IJCNLP 2021
Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies
IJCNLP 2021
Named Entity Recognition for Entity Linking: What Works and What’s Next
EMNLP 2021
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding
EMNLP 2021
ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques
AAAI 2021
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation
ACL 2021
Human Perception in Natural Language Generation
ACL 2021
YNU-HPCC at SemEval-2021 Task 11: Using a BERT Model to Extract Contributions from NLP Scholarly Articles
ACL 2021
IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation
ACL 2021
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
ACL 2021
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
ACL 2021
A Thorough Evaluation of Task-Specific Pretraining for Summarization
EMNLP 2021
Relational World Knowledge Representation in Contextual Language Models: A Review
EMNLP 2021
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
EMNLP 2021
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus
EMNLP 2021
RuleBERT: Teaching Soft Rules to Pre-Trained Language Models
EMNLP 2021
mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs
EMNLP 2021
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
EMNLP 2021
Rethinking Denoised Auto-Encoding in Language Pre-Training
EMNLP 2021
Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
EMNLP 2021
Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models
EMNLP 2021
Transformer Feed-Forward Layers Are Key-Value Memories
EMNLP 2021
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