Summary of Knowledge Composition Using Task Vectors with Learned Anisotropic Scaling, by Frederic Z. Zhang et al.
Knowledge Composition using Task Vectors with Learned Anisotropic Scalingby Frederic Z. Zhang, Paul Albert, Cristian…
Summary of Towards Federated Rlhf with Aggregated Client Preference For Llms, by Feijie Wu et al.
Towards Federated RLHF with Aggregated Client Preference for LLMsby Feijie Wu, Xiaoze Liu, Haoyu Wang,…
Summary of Light-weight Fine-tuning Method For Defending Adversarial Noise in Pre-trained Medical Vision-language Models, by Xu Han et al.
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Modelsby Xu Han, Linghao…
Summary of Large Language Models, Physics-based Modeling, Experimental Measurements: the Trinity Of Data-scarce Learning Of Polymer Properties, by Ning Liu et al.
Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer propertiesby…
Summary of Rankrag: Unifying Context Ranking with Retrieval-augmented Generation in Llms, by Yue Yu et al.
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMsby Yue Yu, Wei Ping, Zihan Liu,…
Summary of Magic Insert: Style-aware Drag-and-drop, by Nataniel Ruiz et al.
Magic Insert: Style-Aware Drag-and-Dropby Nataniel Ruiz, Yuanzhen Li, Neal Wadhwa, Yael Pritch, Michael Rubinstein, David…
Summary of D-rax: Domain-specific Radiologic Assistant Leveraging Multi-modal Data and Expert Model Predictions, by Hareem Nisar et al.
D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictionsby Hareem Nisar, Syed Muhammad…
Summary of Promptintern: Saving Inference Costs by Internalizing Recurrent Prompt During Large Language Model Fine-tuning, By Jiaru Zou et al.
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuningby Jiaru Zou,…
Summary of Improving Multilingual Instruction Finetuning Via Linguistically Natural and Diverse Datasets, by Sathish Reddy Indurthi et al.
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasetsby Sathish Reddy Indurthi, Wenxuan Zhou,…
Summary of Let the Expert Stick to His Last: Expert-specialized Fine-tuning For Sparse Architectural Large Language Models, by Zihan Wang et al.
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Modelsby…