WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articlesby Tabea…
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learningby Kai Gan, Tong WeiFirst submitted to…
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learningby Sanchit Sinha, Yuguang Yue, Victor…
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusionby Pengxiang Lan, Enneng Yang, Yuting Liu,…
Block Selective Reprogramming for On-device Training of Vision Transformersby Sreetama Sarkar, Souvik Kundu, Kai Zheng,…
Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detectionby Han Zhang,…
Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translationby Matthew…
Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecastingby Divij Gupta, Anubhav Bhatti,…
SA-FedLora: Adaptive Parameter Allocation for Efficient Federated Learning with LoRA Tuningby Yuning Yang, Xiaohong Liu,…
C-Learner: Constrained Learning for Causal Inference and Semiparametric Statisticsby Tiffany Tianhui Cai, Yuri Fonseca, Kaiwen…