Summary of Evolutionary Contrastive Distillation For Language Model Alignment, by Julian Katz-samuels et al.
Evolutionary Contrastive Distillation for Language Model Alignmentby Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam,…
Summary of Upcycling Large Language Models Into Mixture Of Experts, by Ethan He et al.
Upcycling Large Language Models into Mixture of Expertsby Ethan He, Abhinav Khattar, Ryan Prenger, Vijay…
Summary of Demoshapley: Valuation Of Demonstrations For In-context Learning, by Shan Xie et al.
DemoShapley: Valuation of Demonstrations for In-Context Learningby Shan Xie, Man Luo, Chadly Daniel Stern, Mengnan…
Summary of One Initialization to Rule Them All: Fine-tuning Via Explained Variance Adaptation, by Fabian Paischer et al.
One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptationby Fabian Paischer, Lukas Hauzenberger,…
Summary of Glider: Global and Local Instruction-driven Expert Router, by Pingzhi Li et al.
Glider: Global and Local Instruction-Driven Expert Routerby Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng,…
Summary of Mm-ego: Towards Building Egocentric Multimodal Llms, by Hanrong Ye et al.
MM-Ego: Towards Building Egocentric Multimodal LLMsby Hanrong Ye, Haotian Zhang, Erik Daxberger, Lin Chen, Zongyu…
Summary of Astute Rag: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts For Large Language Models, by Fei Wang et al.
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Modelsby Fei Wang,…
Summary of Neural Contrast: Leveraging Generative Editing For Graphic Design Recommendations, by Marian Lupascu et al.
Neural Contrast: Leveraging Generative Editing for Graphic Design Recommendationsby Marian Lupascu, Ionut Mironica, Mihai-Sorin StupariuFirst…
Summary of Similarity Learning with Neural Networks, by Gabriel Sanfins et al.
Similarity Learning with neural networksby Gabriel Sanfins, Fabio Ramos, Danilo NaiffFirst submitted to arxiv on:…
Summary of Boosting the Performance Of Decentralized Federated Learning Via Catalyst Acceleration, by Qinglun Li et al.
Boosting the Performance of Decentralized Federated Learning via Catalyst Accelerationby Qinglun Li, Miao Zhang, Yingqi…