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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
Unmasking the Mask – Evaluating Social Biases in Masked Language Models
AAAI 2022
Efficient and Robust Knowledge Graph Construction
IJCNLP 2022
When Cantonese NLP Meets Pre-training: Progress and Challenges
IJCNLP 2022
AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level
ACL 2022
Meta-learning via Language Model In-context Tuning
ACL 2022
RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining
ACL 2022
Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts
ACL 2022
SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents
ACL 2022
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models
ACL 2022
ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer
ACL 2022
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data
ACL 2022
PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks
ACL 2022
Paragraph-based Transformer Pre-training for Multi-Sentence Inference
NAACL 2022
How Gender Debiasing Affects Internal Model Representations, and Why It Matters
NAACL 2022
Learning To Retrieve Prompts for In-Context Learning
NAACL 2022
Modal Dependency Parsing via Language Model Priming
NAACL 2022
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation
NAACL 2022
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
NAACL 2022
Lifting the Curse of Multilinguality by Pre-training Modular Transformers
NAACL 2022
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models
NAACL 2022
Improving In-Context Few-Shot Learning via Self-Supervised Training
NAACL 2022
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts
NAACL 2022
ChapterBreak: A Challenge Dataset for Long-Range Language Models
NAACL 2022
Knowledge Inheritance for Pre-trained Language Models
NAACL 2022
On Transferability of Prompt Tuning for Natural Language Processing
NAACL 2022
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