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Large Language Models

9,153 papers

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Papers

Tencent submission for WMT20 Quality Estimation Shared Task EMNLP 2020
Noisy Text Data: Achilles’ Heel of BERT EMNLP 2020
Intelligent Analyses on Storytelling for Impact Measurement EMNLP 2020
IITKGP at W-NUT 2020 Shared Task-1: Domain specific BERT representation for Named Entity Recognition of lab protocol EMNLP 2020
#GCDH at WNUT-2020 Task 2: BERT-Based Models for the Detection of Informativeness in English COVID-19 Related Tweets EMNLP 2020
PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination ICML 2020
Retrieval Augmented Language Model Pre-Training ICML 2020
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation ICML 2020
Learning and Evaluating Contextual Embedding of Source Code ICML 2020
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification ICML 2020
BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment IJCAI 2020
FinBERT: A Pre-trained Financial Language Representation Model for Financial Text Mining IJCAI 2020
A Unified Model for Financial Event Classification, Detection and Summarization IJCAI 2020
Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language Understanding INTERSPEECH 2020
Style Attuned Pre-Training and Parameter Efficient Fine-Tuning for Spoken Language Understanding INTERSPEECH 2020
An Effective Domain Adaptive Post-Training Method for BERT in Response Selection INTERSPEECH 2020
Confidence Measure for Speech-to-Concept End-to-End Spoken Language Understanding INTERSPEECH 2020
Distilling the Knowledge of BERT for Sequence-to-Sequence ASR INTERSPEECH 2020
Jointly Fine-Tuning “BERT-Like” Self Supervised Models to Improve Multimodal Speech Emotion Recognition INTERSPEECH 2020
SpeechBERT: An Audio-and-Text Jointly Learned Language Model for End-to-End Spoken Question Answering INTERSPEECH 2020
Improving the Prosody of RNN-Based English Text-To-Speech Synthesis by Incorporating a BERT Model INTERSPEECH 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer JMLR 2020
UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection SEMEVAL 2020
MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical Meaning SEMEVAL 2020
Hitachi at SemEval-2020 Task 3: Exploring the Representation Spaces of Transformers for Human Sense Word Similarity SEMEVAL 2020