Summary of Apeer: Automatic Prompt Engineering Enhances Large Language Model Reranking, by Can Jin et al.
APEER: Automatic Prompt Engineering Enhances Large Language Model Rerankingby Can Jin, Hongwu Peng, Shiyu Zhao,…
APEER: Automatic Prompt Engineering Enhances Large Language Model Rerankingby Can Jin, Hongwu Peng, Shiyu Zhao,…
Infusing clinical knowledge into tokenisers for language modelsby Abul Hasan, Jinge Wu, Quang Ngoc Nguyen,…
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Is AI fun? HumorDB: a curated dataset and benchmark to investigate graphical humorby Veedant Jain,…
Fine-Tuning Gemma-7B for Enhanced Sentiment Analysis of Financial News Headlinesby Kangtong Mo, Wenyan Liu, Xuanzhen…
ClaudesLens: Uncertainty Quantification in Computer Vision Modelsby Mohamad Al Shaar, Nils Ekström, Gustav Gille, Reza…
Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for…
WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying…
Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentationby Artur Jurgas, Marek Wodzinski,…