Summary of Training Llms to Recognize Hedges in Spontaneous Narratives, by Amie J. Paige et al.
Training LLMs to Recognize Hedges in Spontaneous Narrativesby Amie J. Paige, Adil Soubki, John Murzaku,…
Training LLMs to Recognize Hedges in Spontaneous Narrativesby Amie J. Paige, Adil Soubki, John Murzaku,…
A Few-Shot Approach for Relation Extraction Domain Adaptation using Large Language Modelsby Vanni Zavarella, Juan…
AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Modelby Zhenyu Yan, Qingqing Fang, Wenxi Lv,…
SR-CIS: Self-Reflective Incremental System with Decoupled Memory and Reasoningby Biqing Qi, Junqi Gao, Xinquan Chen,…
Siamese Transformer Networks for Few-shot Image Classificationby Weihao Jiang, Shuoxi Zhang, Kun HeFirst submitted to…
Granting GPT-4 License and Opportunity: Enhancing Accuracy and Confidence Estimation for Few-Shot Event Detectionby Steven…
Small Object Few-shot Segmentation for Vision-based Industrial Inspectionby Zilong Zhang, Chang Niu, Zhibin Zhao, Xingwu…
Using Large Language Models for the Interpretation of Building Regulationsby Stefan Fuchs, Michael Witbrock, Johannes…
Label-Guided Prompt for Multi-label Few-shot Aspect Category Detectionby ChaoFeng Guan, YaoHui Zhu, Yu Bai, LingYun…
Evaluating Large Language Models for automatic analysis of teacher simulationsby David de-Fitero-Dominguez, Mariano Albaladejo-González, Antonio…