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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
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation
IJCNLP 2021
Natural Language Processing Meets Quantum Physics: A Survey and Categorization
EMNLP 2021
RG PA at SemEval-2021 Task 1: A Contextual Attention-based Model with RoBERTa for Lexical Complexity Prediction
SEMEVAL 2021
Superbizarre Is Not Superb: Derivational Morphology Improves BERT’s Interpretation of Complex Words
ACL 2021
Span Fine-tuning for Pre-trained Language Models
EMNLP 2021
ArabicTransformer: Efficient Large Arabic Language Model with Funnel Transformer and ELECTRA Objective
EMNLP 2021
What’s in Your Head? Emergent Behaviour in Multi-Task Transformer Models
EMNLP 2021
Influence Patterns for Explaining Information Flow in BERT
NIPS 2021
Does She Wink or Does She Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models
EACL 2021
CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction
SEMEVAL 2021
DeepBlueAI at SemEval-2021 Task 1: Lexical Complexity Prediction with A Deep Ensemble Approach
SEMEVAL 2021
What to Pre-Train on? Efficient Intermediate Task Selection
EMNLP 2021
YoungSheldon at SemEval-2021 Task 5: Fine-tuning Pre-trained Language Models for Toxic Spans Detection using Token classification Objective
SEMEVAL 2021
Pragmatic competence of pre-trained language models through the lens of discourse connectives
CONLL 2021
Simon @ LT-EDI-EACL2021: Detecting Hope Speech with BERT
EACL 2021
DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting
EACL 2021
Wine is not v i n. On the Compatibility of Tokenizations across Languages
EMNLP 2021
Learning and Evaluating a Differentially Private Pre-trained Language Model
EMNLP 2021
Surface Form Competition: Why the Highest Probability Answer Isn’t Always Right
EMNLP 2021
Language Models are Few-shot Multilingual Learners
EMNLP 2021
Allocating Large Vocabulary Capacity for Cross-Lingual Language Model Pre-Training
EMNLP 2021
BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language
EMNLP 2021
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection
EMNLP 2021
Multilingual Translation via Grafting Pre-trained Language Models
EMNLP 2021
Attribute Alignment: Controlling Text Generation from Pre-trained Language Models
EMNLP 2021
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