How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical…
A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictionsby Pengfei Liu, Jun Tao, Zhixiang RenFirst…
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learningby Sungwon Han, Jinsung Yoon,…
Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Modelsby Siyan…
Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large…
Experimental Design for Active Transductive Inference in Large Language Modelsby Subhojyoti Mukherjee, Anusha Lalitha, Aniket…
PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classificationby Zhenwei Wang, Qiule…
Relational Prompt-based Pre-trained Language Models for Social Event Detectionby Pu Li, Xiaoyan Yu, Hao Peng,…
Language Model Prompt Selection via Simulation Optimizationby Haoting Zhang, Jinghai He, Rhonda Righter, Zeyu ZhengFirst…
Discourse-Aware In-Context Learning for Temporal Expression Normalizationby Akash Kumar Gautam, Lukas Lange, Jannik StrötgenFirst submitted…