Summary of Improving Llm Group Fairness on Tabular Data Via In-context Learning, by Valeriia Cherepanova et al.
Improving LLM Group Fairness on Tabular Data via In-Context Learningby Valeriia Cherepanova, Chia-Jung Lee, Nil-Jana…
Improving LLM Group Fairness on Tabular Data via In-Context Learningby Valeriia Cherepanova, Chia-Jung Lee, Nil-Jana…
Prompting Large Language Models for Clinical Temporal Relation Extractionby Jianping He, Laila Rasmy, Haifang Li,…
The broader spectrum of in-context learningby Andrew Kyle Lampinen, Stephanie C. Y. Chan, Aaditya K.…
Few-Shot Learning with Adaptive Weight Masking in Conditional GANsby Jiacheng Hu, Zhen Qi, Jianjun Wei,…
Optimizing Large Language Models for Turkish: New Methodologies in Corpus Selection and Trainingby H. Toprak…
Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAsby Zixuan Hu, Yongxian…
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognitionby Quanjiang Guo, Yihong Dong, Ling Tian, Zhao…
Harnessing Preference Optimisation in Protein LMs for Hit Maturation in Cell Therapyby Katarzyna Janocha, Annabel…
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Modelsby Yi Liao, Yongsheng Gao,…
Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidanceby Zhe Wang,…