← Resources & Methods
Natural Language Processing › Resources & Methods ›

Large Language Models

9067 directly classified papers

Papers per year

Papers

Pre-trained Token-replaced Detection Model as Few-shot Learner COLING 2022
g2pW: A Conditional Weighted Softmax BERT for Polyphone Disambiguation in Mandarin INTERSPEECH 2022
Accelerating Inference for Pretrained Language Models by Unified Multi-Perspective Early Exiting COLING 2022
Where Does Linguistic Information Emerge in Neural Language Models? Measuring Gains and Contributions across Layers COLING 2022
Mitigating the Diminishing Effect of Elastic Weight Consolidation COLING 2022
Prompt-based Text Entailment for Low-Resource Named Entity Recognition COLING 2022
Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-trained Transformers AAAI 2022
Recent Advances in Pre-trained Language Models: Why Do They Work and How Do They Work IJCNLP 2022
NepBERTa: Nepali Language Model Trained in a Large Corpus IJCNLP 2022
BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset IJCNLP 2022
Post-Training with Interrogative Sentences for Enhancing BART-based Korean Question Generator IJCNLP 2022
SwahBERT: Language Model of Swahili NAACL 2022
Probing via Prompting NAACL 2022
MultiSpanQA: A Dataset for Multi-Span Question Answering NAACL 2022
Context-Aware Abbreviation Expansion Using Large Language Models NAACL 2022
Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models NAACL 2022
SKILL: Structured Knowledge Infusion for Large Language Models NAACL 2022
Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models NAACL 2022
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling NAACL 2022
Simple Local Attentions Remain Competitive for Long-Context Tasks NAACL 2022
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks NAACL 2022
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization NAACL 2022
Miðeind’s WMT 2021 Submission EMNLP 2021
Just Ask! Evaluating Machine Translation by Asking and Answering Questions EMNLP 2021
A Fine-Grained Analysis of BERTScore EMNLP 2021