output
20022026
most citedDeep Isolation Forest for Anomaly Detection

541 citations

Showing 2023 · cs.CLShow all

6 papers · 2 filters

cs.CL2023★ 2 cited

MATK: The Meme Analytical Tool Kit

Ming Shan Hee, Aditi Kumaresan, Nguyen Khoi Hoang +3

The rise of social media platforms has brought about a new digital culture called memes. Memes, which combine visuals and text, can strongly influence public opinions on social and…

cs.CL2023★ 2 cited

FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotation

Hanyue Du, Yike Zhao, Qingyuan Tian +4

Chinese Grammatical Error Correction (CGEC) has been attracting growing attention from researchers recently. In spite of the fact that multiple CGEC datasets have been developed to…

cs.CL2023★ 14 cited

Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

Fengzhu Zeng, Wei Gao

Little attention has been paid on \underline{EA}rly \underline{R}umor \underline{D}etection (EARD), and EARD performance was evaluated inappropriately on a few datasets where the a…

cs.CL2023★ 36 cited

Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate

Kai Xiong, Xiao Ding, Yixin Cao +2

Large Language Models (LLMs) have shown impressive capabilities in various applications, but they still face various inconsistency issues. Existing works primarily focus on the inc…

cs.CL2023★ 105 cited

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Yubo Ma, Yixin Cao, YongChing Hong +1

Large Language Models (LLMs) have made remarkable strides in various tasks. Whether LLMs are competitive few-shot solvers for information extraction (IE) tasks, however, remains an…

cs.CL2023★ 2 cited

POSGen: Personalized Opening Sentence Generation for Online Insurance Sales

Yu Li, Yi Zhang, Weijia Wu +2

The insurance industry is shifting their sales mode from offline to online, in expectation to reach massive potential customers in the digitization era. Due to the complexity and t…