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Large Language Models

6405 directly classified papers

Papers per year

Papers

Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT AAAI 2020
Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction IJCAI 2020
Relation-Aware Transformer for Portfolio Policy Learning IJCAI 2020
LIMIT-BERT : Linguistics Informed Multi-Task BERT EMNLP 2020
Large Scale Multi-Actor Generative Dialog Modeling ACL 2020
Examination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation ACL 2020
Using Large Pretrained Language Models for Answering User Queries from Product Specifications ACL 2020
DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation ACL 2020
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly ACL 2020
RikiNet: Reading Wikipedia Pages for Natural Question Answering ACL 2020
Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods ACL 2020
On the Robustness of Language Encoders against Grammatical Errors ACL 2020
Pretrained Transformers Improve Out-of-Distribution Robustness ACL 2020
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices ACL 2020
Efficient Meta Lifelong-Learning with Limited Memory EMNLP 2020
Predicting Reference: What do Language Models Learn about Discourse Models? EMNLP 2020
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering EMNLP 2020
On Losses for Modern Language Models EMNLP 2020
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation EMNLP 2020
Probing Pretrained Language Models for Lexical Semantics EMNLP 2020
How Decoding Strategies Affect the Verifiability of Generated Text EMNLP 2020
Revisiting Pre-Trained Models for Chinese Natural Language Processing EMNLP 2020
Multiˆ2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT EMNLP 2020
Investigating Transferability in Pretrained Language Models EMNLP 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages EMNLP 2020