Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Scienceby Taihang…
Knowledge Adaptation Network for Few-Shot Class-Incremental Learningby Ye Wang, Yaxiong Wang, Guoshuai Zhao, Xueming QianFirst…
Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detectionby Bo Liu, Liming Zhan, Yujie Feng, Zexin…
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototypingby Amirreza Fateh, Mohammad Reza Mohammadi,…
LLM-DER:A Named Entity Recognition Method Based on Large Language Models for Chinese Coal Chemical Domainby…
Enhancing Text Annotation through Rationale-Driven Collaborative Few-Shot Promptingby Jianfei Wu, Xubin Wang, Weijia JiaFirst submitted…
Bayesian Inverse Graphics for Few-Shot Concept Learningby Octavio Arriaga, Jichen Guo, Rebecca Adam, Sebastian Houben,…
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanismsby Fatemeh Askari, Amirreza Fateh,…
The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunalby Huiyuan Xie, Felix…
Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Modelsby Rui Ye, Rui…