Summary of Prompting Fairness: Integrating Causality to Debias Large Language Models, by Jingling Li et al.
Prompting Fairness: Integrating Causality to Debias Large Language Modelsby Jingling Li, Zeyu Tang, Xiaoyu Liu,…
Prompting Fairness: Integrating Causality to Debias Large Language Modelsby Jingling Li, Zeyu Tang, Xiaoyu Liu,…
Consistent Prompting for Rehearsal-Free Continual Learningby Zhanxin Gao, Jun Cen, Xiaobin ChangFirst submitted to arxiv…
All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract)by Xiangguo Sun, Hong Cheng,…
Thread Detection and Response Generation using Transformers with Prompt Optimisationby Kevin Joshua T, Arnav Agarwal,…
Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languagesby Christopher ToukmajiFirst submitted to…
Small Models are LLM Knowledge Triggers on Medical Tabular Predictionby Jiahuan Yan, Jintai Chen, Chaowen…
MediSwift: Efficient Sparse Pre-trained Biomedical Language Modelsby Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Kevin Leong,…
Improving Socratic Question Generation using Data Augmentation and Preference Optimizationby Nischal Ashok Kumar, Andrew LanFirst…
RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrievalby Kaiyue Wen, Xingyu Dang,…
CogBench: a large language model walks into a psychology labby Julian Coda-Forno, Marcel Binz, Jane…