arXiv:2305.01957
공식 코드 · Papers with Code
NorQuAD: Norwegian Question Answering Dataset
원문 초록
In this paper we present NorQuAD: the first Norwegian question answering dataset for machine reading comprehension. The dataset consists of 4,752 manually created question-answer pairs. We here detail the data collection procedure and present statistics of the dataset. We also benchmark several multilingual and Norwegian monolingual language models on the dataset and compare them against human performance. The dataset will be made freely available.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models
LogiQA 2.0—An Improved Dataset for Logical Reasoning in Natural Language Understanding
From Roots to Rewards: Dynamic Tree Reasoning with RL
Describe Anything Model for Visual Question Answering on Text-rich Images
Warehouse Spatial Question Answering with LLM Agent
DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback Synergy
토론
이 논문과 연결된 포럼 글이 아직 없습니다.