most citedEfficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models

3 citations · 5 across the 5 of their papers we have counts for

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5 papers

cs.CL20241 cited

FLEX: Expert-level False-Less EXecution Metric for Reliable Text-to-SQL Benchmark

Heegyu Kim, Taeyang Jeon, Seunghwan Choi +2

Text-to-SQL systems have become crucial for translating natural language into SQL queries in various industries, enabling non-technical users to perform complex data operations. Th…

cs.CL20243 cited

Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models

Seungduk Kim, Seungtaek Choi, Myeongho Jeong

This report introduces \texttt{EEVE-Korean-v1.0}, a Korean adaptation of large language models that exhibit remarkable capabilities across English and Korean text understanding. Bu…

cs.CL2023

Cross Encoding as Augmentation: Towards Effective Educational Text Classification

Hyun Seung Lee, Seungtaek Choi, Yunsung Lee +5

Text classification in education, usually called auto-tagging, is the automated process of assigning relevant tags to educational content, such as questions and textbooks. However,…

cs.CL2023

Evaluation of Question Generation Needs More References

Shinhyeok Oh, Hyojun Go, Hyeongdon Moon +4

Question generation (QG) is the task of generating a valid and fluent question based on a given context and the target answer. According to various purposes, even given the same co…

cs.CL20231 cited

Towards Zero-Shot Functional Compositionality of Language Models

Hangyeol Yu, Myeongho Jeong, Jamin Shin +3

Large Pre-trained Language Models (PLM) have become the most desirable starting point in the field of NLP, as they have become remarkably good at solving many individual tasks. Des…