A new update to our work published at #WebSci26! 🎉
NLGF now supports a Hugging Face backend for toponym disambiguation, using Llama 3.1 8B Instruct by default, with other compatible models supported. GPT-4o remains optional.
🔗 https://t.co/82oN55ntuy
Congratulations to my PhD student @GanganiAri for her #WebSci26 paper.
Identifying the Geographic Foci of US Local News: our NLGF model labels US local news articles with salient geo-locations central to their subject matter
* https://t.co/IGzL8k7GjU
* https://t.co/fDAnzLiX6A
Fascinating look at quantifying uncertainty of social media bot detection by Giroux, @GanganiAri, @acnwala & Fanelli in @epj_ds https://t.co/Ar1ABIKcDQ
Introducing 3DLNews2: version 2 of our
three-decade dataset of US local news articles built from a 3.5 month-long scraping effort:
https://t.co/r0DOsFNYSm
* 1995 -- 2024: 4 million URLs (with HTML text)
* 14k local newspapers, TV, & radio in 50 states (https://t.co/juLDfVPbzg)
Honggu Kim is now presenting their work, "Dataset Generation for Korean Urban Parks Analysis with Large Language Models," in the session on "LLM Applications and Sentiment Analysis" at #CIKM2024
DOI: https://t.co/iku5ZtNAFj
Patricia Chiril is now presenting their work titled “BioMAISx: A Corpus for Aspect-Based Sentiment Analysis of Media Representations of Agricultural Biotechnologies in Africa” at “LLMs applications and Sentiment Analysis” session in #CIKM2024
DOI: https://t.co/ALAR3zvC5R
📊 Day 4 of #CIKM2024 features Charu C. Aggarwal’s keynote on "Ensembles for Outlier Detection and Evaluation." Perfect for anyone looking to detect the anomalies that matter! 🌐🚀 #OutlierDetection#AI#CIKM2024#Keynote
🚨 Keynote Alert 🚨
We’re thrilled to have Charu C. Aggarwal at #CIKM2024! He'll dive into Ensembles for Outlier Detection and Evaluation 🔍 Learn how ensemble methods are evolving in unsupervised tasks like outlier detection. Don’t miss it!
#AI#DataScience#MachineLearning
The third #CIKM2024 Keynote is happening now!
Charu C. Aggarwal of IBM T. J. Watson Research Center is giving his talk, “Ensembles for Outlier Detection and Evaluation”
@HimarshaJ@WebSciDL
Bo Pan is now presenting their work “Distilling Large Language Models for Text-Attributed Graph Learning” at IR & LLM session @cikm2024
DOI: https://t.co/pldP7AWPJO
#CIKM2024
Session: IR & LLM #CIKM2024
Presentation: “ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation” by Jizheng Chen
DOI: https://t.co/OxjrT5ZPZu
Fnu Mohbat is now presenting his work “LLaVa-Chef: A Multi-modal Generative Model for Food Recipes” at NLP session in #cikm2024
DOI: https://t.co/5nJYAVWHFR
Tz-Huan Hsu is now presenting “PIECE: Protagonist Identification and Event Chronology Extraction for Enhanced Timeline Summarization” at NLP session at #CIKM2024
DOI: https://t.co/Dv7aY3QFqe
Zhipang Wang is now presetting “Learning to Differentiate Pairwise-Argument Representations for Implicit Discourse Relation Recognition” at NLP session at #cikm2024
DOI: https://t.co/JrvGYxHt8H