Summary of Fine-tuning and Evaluating Open-source Large Language Models For the Army Domain, by Daniel C. Ruiz and John Sell
Fine-Tuning and Evaluating Open-Source Large Language Models for the Army Domainby Daniel C. Ruiz, John…
Summary of Gflownet Fine-tuning For Diverse Correct Solutions in Mathematical Reasoning Tasks, by Ryoichi Takase et al.
GFlowNet Fine-tuning for Diverse Correct Solutions in Mathematical Reasoning Tasksby Ryoichi Takase, Masaya Tsunokake, Yuta…
Summary of Transferable Adversarial Attacks on Sam and Its Downstream Models, by Song Xia and Wenhan Yang and Yi Yu and Xun Lin and Henghui Ding and Lingyu Duan and Xudong Jiang
Transferable Adversarial Attacks on SAM and Its Downstream Modelsby Song Xia, Wenhan Yang, Yi Yu,…
Summary of Generative Ai in Health Economics and Outcomes Research: a Taxonomy Of Key Definitions and Emerging Applications, An Ispor Working Group Report, by Rachael Fleurence et al.
Generative AI in Health Economics and Outcomes Research: A Taxonomy of Key Definitions and Emerging…
Summary of Resad: a Simple Framework For Class Generalizable Anomaly Detection, by Xincheng Yao and Zixin Chen and Chao Gao and Guangtao Zhai and Chongyang Zhang
ResAD: A Simple Framework for Class Generalizable Anomaly Detectionby Xincheng Yao, Zixin Chen, Chao Gao,…
Summary of Latent Neural Operator Pretraining For Solving Time-dependent Pdes, by Tian Wang and Chuang Wang
Latent Neural Operator Pretraining for Solving Time-Dependent PDEsby Tian Wang, Chuang WangFirst submitted to arxiv…
Summary of Reinforcement Learning For Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting, by Mohamed Salim Aissi et al.
Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt…
Summary of Layer by Layer: Uncovering Where Multi-task Learning Happens in Instruction-tuned Large Language Models, By Zheng Zhao et al.
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Modelsby Zheng Zhao,…
Summary of Parameter-efficient Fine-tuning in Large Models: a Survey Of Methodologies, by Luping Wang et al.
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologiesby Luping Wang, Sheng Chen, Linnan Jiang,…
Summary of Less Is More: Extreme Gradient Boost Rank-1 Adaption For Efficient Finetuning Of Llms, by Yifei Zhang et al.
Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMsby Yifei Zhang,…