2 citations · 5 across the 12 of their papers we have counts for
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cs.CL2023★ 1 cited
HAE-RAE Bench: Evaluation of Korean Knowledge in Language Models
Guijin Son, Hanwool Lee, Suwan Kim +6
Large language models (LLMs) trained on massive corpora demonstrate impressive capabilities in a wide range of tasks. While there are ongoing efforts to adapt these models to langu…
cs.CL2023★ 2 cited
EaSyGuide : ESG Issue Identification Framework leveraging Abilities of Generative Large Language Models
Hanwool Lee, Jonghyun Choi, Sohyeon Kwon +1
This paper presents our participation in the FinNLP-2023 shared task on multi-lingual environmental, social, and corporate governance issue identification (ML-ESG). The task's obje…
cs.CL2023★ 1 cited
Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance
Guijin Son, Hanwool Lee, Nahyeon Kang +1
Extraction of sentiment signals from news text, stock message boards, and business reports, for stock movement prediction, has been a rising field of interest in finance. Building…