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Found 5 papers, 3 papers with code
ANNA”:" Enhanced Language Representation for Question Answering
Pre-trained language models have brought significant improvements in performance in a variety of natural language processing tasks.
INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval Models
Enhancing the capability of retrievers to understand intentions and preferences of users, akin to language model instructions, has the potential to yield more aligned search targets.
ANNA: Enhanced Language Representation for Question Answering
Pre-trained language models have brought significant improvements in performance in a variety of natural language processing tasks.
Korean-Specific Dataset for Table Question Answering
Subsequently, we then build a pre-trained language model based on Transformer and fine-tune the model for table question answering with these datasets.
KR-BERT: A Small-Scale Korean-Specific Language Model
Since the appearance of BERT, recent works including XLNet and RoBERTa utilize sentence embedding models pre-trained by large corpora and a large number of parameters.
