Large Language Models
9,341 papers
Papers per year
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15
108
287
352
542
1,133
2,676
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Papers
Pretrained Language Models for Dialogue Generation with Multiple Input Sources
EMNLP 2020
Pre-training Entity Relation Encoder with Intra-span and Inter-span Information
EMNLP 2020
Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning
ACL 2020
PRHLT-UPV at SemEval-2020 Task 12: BERT for Multilingual Offensive Language Detection
SemEval 2020
Probing Pretrained Language Models for Lexical Semantics
EMNLP 2020
Probing Task-Oriented Dialogue Representation from Language Models
EMNLP 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
AAAI 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting
EMNLP 2020
RecoBERT: A Catalog Language Model for Text-Based Recommendations
EMNLP 2020
Reference and Document Aware Semantic Evaluation Methods for Korean Language Summarization
COLING 2020
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
NeurIPS 2020
Retrieval Augmented Language Model Pre-Training
ICML 2020
Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT
EMNLP 2020
Revisiting Pre-Trained Models for Chinese Natural Language Processing
EMNLP 2020
RobBERT: a Dutch RoBERTa-based Language Model
EMNLP 2020
RoBERT – A Romanian BERT Model
COLING 2020
RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark
EMNLP 2020
Semantics-Aware BERT for Language Understanding
AAAI 2020
Semi-supervised Fine-grained Approach for Arabic dialect detection task
COLING 2020
SenseBERT: Driving Some Sense into BERT
ACL 2020
Sentence Matching with Syntax- and Semantics-Aware BERT
COLING 2020
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics
ACL 2020
SentiX: A Sentiment-Aware Pre-Trained Model for Cross-Domain Sentiment Analysis
COLING 2020
Situated Data, Situated Systems: A Methodology to Engage with Power Relations in Natural Language Processing Research
COLING 2020
SocCogCom at SemEval-2020 Task 11: Characterizing and Detecting Propaganda Using Sentence-Level Emotional Salience Features
SemEval 2020