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Large Language Models

9067 directly classified papers

Papers per year

Papers

On the importance of pre-training data volume for compact language models EMNLP 2020
PatchBERT: Just-in-Time, Out-of-Vocabulary Patching EMNLP 2020
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue EMNLP 2020
Masking as an Efficient Alternative to Finetuning for Pretrained Language Models EMNLP 2020
MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models EMNLP 2020
When BERT Plays the Lottery, All Tickets Are Winning EMNLP 2020
Knowledge-Grounded Dialogue Generation with Pre-trained Language Models EMNLP 2020
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts EMNLP 2020
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training EMNLP 2020
Assessing Phrasal Representation and Composition in Transformers EMNLP 2020
Generative Data Augmentation for Commonsense Reasoning EMNLP 2020
PhoBERT: Pre-trained language models for Vietnamese EMNLP 2020
Investigating Transferability in Pretrained Language Models EMNLP 2020
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA EMNLP 2020
StyleDGPT: Stylized Response Generation with Pre-trained Language Models EMNLP 2020
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification EMNLP 2020
UNIFIEDQA: Crossing Format Boundaries with a Single QA System EMNLP 2020
Zero-shot Entity Linking with Efficient Long Range Sequence Modeling EMNLP 2020
Data Annealing for Informal Language Understanding Tasks EMNLP 2020
Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning EMNLP 2020
RobBERT: a Dutch RoBERTa-based Language Model EMNLP 2020
NLP Service APIs and Models for Efficient Registration of New Clients EMNLP 2020
The birth of Romanian BERT EMNLP 2020
What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and multilingual models EMNLP 2020
IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages EMNLP 2020