Summary of Ivideogpt: Interactive Videogpts Are Scalable World Models, by Jialong Wu et al.
iVideoGPT: Interactive VideoGPTs are Scalable World Modelsby Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He,…
Summary of Defining Error Accumulation in Ml Atmospheric Simulators, by Raghul Parthipan et al.
Defining error accumulation in ML atmospheric simulatorsby Raghul Parthipan, Mohit Anand, Hannah M. Christensen, J.…
Summary of Minicache: Kv Cache Compression in Depth Dimension For Large Language Models, by Akide Liu et al.
MiniCache: KV Cache Compression in Depth Dimension for Large Language Modelsby Akide Liu, Jing Liu,…
Summary of Meanings and Feelings Of Large Language Models: Observability Of Latent States in Generative Ai, by Tian Yu Liu et al.
Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AIby Tian…
Summary of Reducing Transformer Key-value Cache Size with Cross-layer Attention, by William Brandon et al.
Reducing Transformer Key-Value Cache Size with Cross-Layer Attentionby William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar…
Summary of Energy Rank Alignment: Using Preference Optimization to Search Chemical Space at Scale, by Shriram Chennakesavalu et al.
Energy Rank Alignment: Using Preference Optimization to Search Chemical Space at Scaleby Shriram Chennakesavalu, Frank…
Summary of Mambaout: Do We Really Need Mamba For Vision?, by Weihao Yu et al.
MambaOut: Do We Really Need Mamba for Vision?by Weihao Yu, Xinchao WangFirst submitted to arxiv…
Summary of Multi-scale Dilated Convolution Network For Long-term Time Series Forecasting, by Feifei Li et al.
Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecastingby Feifei Li, Suhan Guo, Feng Han,…
Summary of Lory: Fully Differentiable Mixture-of-experts For Autoregressive Language Model Pre-training, by Zexuan Zhong et al.
Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-trainingby Zexuan Zhong, Mengzhou Xia, Danqi Chen,…
Summary of Sample-efficient Neural Likelihood-free Bayesian Inference Of Implicit Hmms, by Sanmitra Ghosh and Paul J. Birrell and Daniela De Angelis
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMsby Sanmitra Ghosh, Paul J. Birrell, Daniela De…