Summary of The Perspectivist Paradigm Shift: Assumptions and Challenges Of Capturing Human Labels, by Eve Fleisig et al.
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labelsby Eve Fleisig, Su Lin…
Summary of How to Evaluate Entity Resolution Systems: An Entity-centric Framework with Application to Inventor Name Disambiguation, by Olivier Binette et al.
How to Evaluate Entity Resolution Systems: An Entity-Centric Framework with Application to Inventor Name Disambiguationby…
Summary of Iterative Refinement Strategy For Automated Data Labeling: Facial Landmark Diagnosis in Medical Imaging, by Yu-hsi Chen
Iterative Refinement Strategy for Automated Data Labeling: Facial Landmark Diagnosis in Medical Imagingby Yu-Hsi ChenFirst…
Summary of Llms in the Loop: Leveraging Large Language Model Annotations For Active Learning in Low-resource Languages, by Nataliia Kholodna et al.
LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languagesby…
Summary of Graph Partial Label Learning with Potential Cause Discovering, by Hang Gao et al.
Graph Partial Label Learning with Potential Cause Discoveringby Hang Gao, Jiaguo Yuan, Jiangmeng Li, Peng…
Summary of Modeling Collaborator: Enabling Subjective Vision Classification with Minimal Human Effort Via Llm Tool-use, by Imad Eddine Toubal et al.
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Useby Imad Eddine…
Summary of Prioritizing Informative Features and Examples For Deep Learning From Noisy Data, by Dongmin Park
Prioritizing Informative Features and Examples for Deep Learning from Noisy Databy Dongmin ParkFirst submitted to…
Summary of A Comparative Study Of Zero-shot Inference with Large Language Models and Supervised Modeling in Breast Cancer Pathology Classification, by Madhumita Sushil et al.
A comparative study of zero-shot inference with large language models and supervised modeling in breast…