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20212024
most citedA Survey of Large Language Models in Finance (FinLLMs)

65 citations · 87 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2024

Deep Learning based Visually Rich Document Content Understanding: A Survey

Yihao Ding, Soyeon Caren Han, Jean Lee +1

Visually Rich Documents (VRDs) play a vital role in domains such as academia, finance, healthcare, and marketing, as they convey information through a combination of text, layout,…

cs.CL2024★ 65 cited

A Survey of Large Language Models in Finance (FinLLMs)

Jean Lee, Nicholas Stevens, Soyeon Caren Han +1

Large Language Models (LLMs) have shown remarkable capabilities across a wide variety of Natural Language Processing (NLP) tasks and have attracted attention from multiple domains,…

cs.CL2024

3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding

Yihao Ding, Lorenzo Vaiani, Caren Han +4

This paper presents a groundbreaking multimodal, multi-task, multi-teacher joint-grained knowledge distillation model for visually-rich form document understanding. The model is de…

cs.CL2023★ 5 cited

StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series

Jean Lee, Hoyoul Luis Youn, Josiah Poon +1

There has been growing interest in applying NLP techniques in the financial domain, however, resources are extremely limited. This paper introduces StockEmotions, a new dataset for…

cs.CL2022★ 10 cited

K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment

Jean Lee, Taejun Lim, Heejun Lee +4

Online hate speech detection has become an important issue due to the growth of online content, but resources in languages other than English are extremely limited. We introduce K-…

cs.CL2021

CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection

Henry Weld, Guanghao Huang, Jean Lee +6

Traditional toxicity detection models have focused on the single utterance level without deeper understanding of context. We introduce CONDA, a new dataset for in-game toxic langua…

cs.CL2021★ 7 cited

FedNLP: An interpretable NLP System to Decode Federal Reserve Communications

Jean Lee, Hoyoul Luis Youn, Nicholas Stevens +2

The Federal Reserve System (the Fed) plays a significant role in affecting monetary policy and financial conditions worldwide. Although it is important to analyse the Fed's communi…