Summary of Retrieval-augmented Mixture Of Lora Experts For Uploadable Machine Learning, by Ziyu Zhao et al.
Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learningby Ziyu Zhao, Leilei Gan, Guoyin Wang,…
Summary of Eagle-2: Faster Inference Of Language Models with Dynamic Draft Trees, by Yuhui Li et al.
EAGLE-2: Faster Inference of Language Models with Dynamic Draft Treesby Yuhui Li, Fangyun Wei, Chao…
Summary of Flexible Tails For Normalizing Flows, by Tennessee Hickling and Dennis Prangle
Flexible Tails for Normalizing Flowsby Tennessee Hickling, Dennis PrangleFirst submitted to arxiv on: 22 Jun…
Summary of Sparser Is Faster and Less Is More: Efficient Sparse Attention For Long-range Transformers, by Chao Lou et al.
Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformersby Chao Lou,…
Summary of From Decoding to Meta-generation: Inference-time Algorithms For Large Language Models, by Sean Welleck et al.
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Modelsby Sean Welleck, Amanda Bertsch, Matthew…
Summary of Vicatmix: Variational Bayesian Clustering and Variable Selection For Discrete Biomedical Data, by Paul D. W. Kirk and Jackie Rao
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical databy Paul D. W. Kirk,…
Summary of Recall: Membership Inference Via Relative Conditional Log-likelihoods, by Roy Xie et al.
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoodsby Roy Xie, Junlin Wang, Ruomin Huang, Minxing Zhang,…
Summary of Bounding-box Inference For Error-aware Model-based Reinforcement Learning, by Erin J. Talvitie et al.
Bounding-Box Inference for Error-Aware Model-Based Reinforcement Learningby Erin J. Talvitie, Zilei Shao, Huiying Li, Jinghan…
Summary of Edge-llm: Enabling Efficient Large Language Model Adaptation on Edge Devices Via Layerwise Unified Compression and Adaptive Layer Tuning and Voting, by Zhongzhi Yu et al.
EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and…
Summary of Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models Without Training Through Attention Calibration, by Zhongzhi Yu et al.
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrationby…