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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
Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language Models
EMNLP 2022
SlovakBERT: Slovak Masked Language Model
EMNLP 2022
Prompt-learning for Fine-grained Entity Typing
EMNLP 2022
Table-To-Text generation and pre-training with TabT5
EMNLP 2022
Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph
ACL 2022
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification
ACL 2022
Probing Simile Knowledge from Pre-trained Language Models
ACL 2022
Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network
ACL 2022
Reframing Instructional Prompts to GPTk’s Language
ACL 2022
Neural reality of argument structure constructions
ACL 2022
DynaMaR: Dynamic Prompt with Mask Token Representation
EMNLP 2022
TextBox 2.0: A Text Generation Library with Pre-trained Language Models
EMNLP 2022
Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance
EMNLP 2022
LM-Debugger: An Interactive Tool for Inspection and Intervention in Transformer-Based Language Models
EMNLP 2022
CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding
EMNLP 2022
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models
EMNLP 2022
Finding Skill Neurons in Pre-trained Transformer-based Language Models
EMNLP 2022
Pre-training Language Models with Deterministic Factual Knowledge
EMNLP 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
EMNLP 2022
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding
ACL 2022
PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks
EMNLP 2022
Continual Training of Language Models for Few-Shot Learning
EMNLP 2022
Adapting a Language Model While Preserving its General Knowledge
EMNLP 2022
Automatic Document Selection for Efficient Encoder Pretraining
EMNLP 2022
CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models
EMNLP 2022
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