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

Large Language Models

9067 directly classified papers

Papers per year

Papers

How does BERT’s attention change when you fine-tune? An analysis methodology and a case study in negation scope ACL 2020
Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning ACL 2020
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics ACL 2020
Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods ACL 2020
Parallel Data Augmentation for Formality Style Transfer ACL 2020
Integrating Multimodal Information in Large Pretrained Transformers ACL 2020
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too AACL 2020
STIL - Simultaneous Slot Filling, Translation, Intent Classification, and Language Identification: Initial Results using mBART on MultiATIS++ AACL 2020
Style Attuned Pre-Training and Parameter Efficient Fine-Tuning for Spoken Language Understanding INTERSPEECH 2020
Jointly Fine-Tuning “BERT-Like” Self Supervised Models to Improve Multimodal Speech Emotion Recognition INTERSPEECH 2020
A Semi-Supervised BERT Approach for Arabic Named Entity Recognition COLING 2020
Semi-supervised Fine-grained Approach for Arabic dialect detection task COLING 2020
Arabic dialect identification: An Arabic-BERT model with data augmentation and ensembling strategy COLING 2020
Are Pretrained Language Models Symbolic Reasoners over Knowledge? CONLL 2020
Investigating Learning Dynamics of BERT Fine-Tuning AACL 2020
Chinese Grammatical Correction Using BERT-based Pre-trained Model AACL 2020
Intent Detection with WikiHow AACL 2020
Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT EMNLP 2020
Towards Non-task-specific Distillation of BERT via Sentence Representation Approximation AACL 2020
IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding AACL 2020
Liputan6: A Large-scale Indonesian Dataset for Text Summarization AACL 2020
Document-Level Neural Machine Translation Using BERT as Context Encoder AACL 2020
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers EMNLP 2020
Identifying Elements Essential for BERT’s Multilinguality EMNLP 2020
From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers EMNLP 2020