Summary of In-context Learning For Extreme Multi-label Classification, by Karel D’oosterlinck et al.
In-Context Learning for Extreme Multi-Label Classificationby Karel D'Oosterlinck, Omar Khattab, François Remy, Thomas Demeester, Chris…
In-Context Learning for Extreme Multi-Label Classificationby Karel D'Oosterlinck, Omar Khattab, François Remy, Thomas Demeester, Chris…
Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry Housesby Tahereh Zarrat Ehsan,…
Text Embedding Inversion Security for Multilingual Language Modelsby Yiyi Chen, Heather Lent, Johannes BjervaFirst submitted…
Exploring consumers response to text-based chatbots in e-commerce: The moderating role of task complexity and…
GRATH: Gradual Self-Truthifying for Large Language Modelsby Weixin Chen, Dawn Song, Bo LiFirst submitted to…
Smart Recommendations for Renting Bikes in Bike Sharing Systemsby Holger Billhardt, Alberto Fernández, Sascha OssowskiFirst…
Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detectionby Feng Xiong, Thanet…
Streamlining Advanced Taxi Assignment Strategies based on Legal Analysisby Holger Billhardt, José-Antonio Santos, Alberto Fernández,…
Development of an NLP-driven computer-based test guide for visually impaired studentsby Tubo Faustinah Nemieboka, Ikechukwu…
Analyzing the Effectiveness of Large Language Models on Text-to-SQL Synthesisby Richard Roberson, Gowtham Kaki, Ashutosh…