Summary of Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning, by Dillon Z. Chen et al.
Return to Tradition: Learning Reliable Heuristics with Classical Machine Learningby Dillon Z. Chen, Felipe Trevizan,…
Return to Tradition: Learning Reliable Heuristics with Classical Machine Learningby Dillon Z. Chen, Felipe Trevizan,…
LLMs Are Few-Shot In-Context Low-Resource Language Learnersby Samuel Cahyawijaya, Holy Lovenia, Pascale FungFirst submitted to…
Harnessing the power of LLMs for normative reasoning in MASsby Bastin Tony Roy Savarimuthu, Surangika…
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State…
An Intermediate Fusion ViT Enables Efficient Text-Image Alignment in Diffusion Modelsby Zizhao Hu, Shaochong Jia,…
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learningby Philipp Borchert, Jochen De…
PE: A Poincare Explanation Method for Fast Text Hierarchy Generationby Qian Chen, Dongyang Li, Xiaofeng…
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imagingby Lingdong Shen, Fangxin…
CLHA: A Simple yet Effective Contrastive Learning Framework for Human Alignmentby Feiteng Fang, Liang Zhu,…
Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimizationby Fernando Acero, Parisa Zehtabi, Nicolas…