Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Predictionby Liang Wang, Qiang Liu, Shaozhen Liu,…
Fast Adaptation with Kernel and Gradient based Meta Leaningby JuneYoung Park, MinJae KangFirst submitted to…
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large…
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIPby Chen Huang, Skyler Seto, Samira Abnar,…
FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularitiesby Jingge Xiao, Yile Chen,…
Don’t Just Pay Attention, PLANT It: Transfer L2R Models to Fine-tune Attention in Extreme Multi-Label…
LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputationby Xinrui He, Yikun Ban,…
Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustnessby Qi Zhang, Yifei Wang, Jingyi…
Strada-LLM: Graph LLM for traffic predictionby Seyed Mohamad Moghadas, Yangxintong Lyu, Bruno Cornelis, Alexandre Alahi,…
Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradientby Yintai Ma,…