Education
ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets
To facilitate the algorithm's widespread adoption among
Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters
As a result, error accumulation is continuously introduced into subsequent self-training, leading to inefficiencies in pseudo-labeling.
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
This unified model can quickly adapt to new tasks without the need to retrain a large model.
Understanding Transformer Reasoning Capabilities via Graph Algorithms Clayton Sanford
Which transformer scaling regimes are able to perfectly solve different classes of algorithmic problems?
D: Supplementary Materials Table of Contents
Scores are calculated by giving a weight of 1 for applicable, 0.5 for conditionally applicable, and 0 for incorrect responses.
D: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
D comprises 52.6k question-answer pairs from 16 countries/regions,
VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions
These skills are refined and updated through an iterative comparison strategy, enabling efficient adaptation to unseen environments.
